<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="MWI_2010_DHS_v01_M_v01_A_IPUMS" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Malawi Demographic and Health Survey 2010
        </titl>
        <subTitl>
          IPUMS-Demographic and Health Series (IPUMS-DHS)
        </subTitl>
        <IDNo>
          DDI_MWI_2010_DHS_v01_M_v01_A_IPUMS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="University of Minnesota"/>
        <othId>
          <p>
            Integrated Public Use Microdata Series (IPUMS) International
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="MPC" affiliation="University of Minnesota" role="Integration Harmonization Documentation">
          Minnesota Population Center
        </producer>
        <prodDate date="2018-07-26">
          2018-07-26
        </prodDate>
        <prodPlac>
          Minnesota Population Center, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455
        </prodPlac>
        <software version="4.1 Beta 1" date="2014-11-06">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact affiliation="University of Minnesota">
          Minnesota Population Center
        </contact>
      </distStmt>
      <verStmt>
        <version>
          <![CDATA[Version 01 (July 2018)
This version is identical to IPUMS DDI: MWI_2010_DHS_v01_M_5_A_IPUMS, except for the following fields that were edited by World Bank: DDI ID and Study ID - adaptation version number changed to v01 as this is the initial DHS-IPUMS adaptation in World Bank catalog.

Version 5 April 2018. Documentation of Demographic Household Survey data and harmonized variables as found in IPUMS-DHS. IPUMS has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.

Fields edited for the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changed included in version 5. Variable ID's and names were changed to add the prefix W_, C_, B_, or M_ to indicate file source as Woman, Child, Birth or Household Member respectively. This was done to create unique variable IDs and names within the file. These prefixes are not found in the IPUMS-DHS system.

Original extract version date 2018-07-27. DDI metadata revised to add stdyDscr/notes and correct assignment of variables to record types. All non-ANSI_Latin characters have been replaced.]]>
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Demographic and Health Survey 2010
        </titl>
        <subTitl>
          IPUMS Harmonized Subset
        </subTitl>
        <altTitl>
          IPUMS-DHS 2010
        </altTitl>
        <IDNo>
          MWI_2010_DHS_v01_M_v01_A_IPUMS
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          National Statistical Office [Malawi] and ICF Macro
        </AuthEnty>
        <AuthEnty affiliation="University of Minnesota">
          Minnesota Population Center
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) Copyright , National Statistical Office [Malawi] and ICF Macro and Minnesota Population Center
        </copyright>
        <software version="4.1 Beta 1" date="2014-11-06">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact>
          National Statistical Office [Malawi] and ICF Macro
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Demographic and Health Survey [hh/dhs]
        </serName>
      </serStmt>
      <verStmt>
        <version>
          <![CDATA[Version 5. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-DHS database. It updates version 4.1
In Version 5 thousands more variables released, bringing total to over 8,000 integrated variables. 123 variables were edited. Household Members available as fourth unit of analysis for all samples except Egypt 1988, Ghana 1988, Kenya 1989, Mali 1987, Sudan 1989, Tunisia 1988, Uganda 1988, and Zimbabwe 1988. Data added for Bangladesh (1994, 1997, 2000, 2004, 2007, 2011, and 2014), Pakistan (1991, 2006, and 2012), Yemen (2013), Sudan (1989), Tunisia (1988), and the latest data for Ethiopia (2016) and India (2015).]]>
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="IPUMS">
          Access to care Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Agricultural possessions Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Agricultural Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Antimalaria protection Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Breastfeeding and infant feeding Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Cause and spread of TB Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child antenatal care, CS Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child antenatal care, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child anthropometry Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child blood testing Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child delivery care, CS Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child delivery care, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child demography core Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child feeding, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child health postpartum Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child pregnancy complications Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child respiratory illness or fever Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child respiratory illness, treatment Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child's breastfeeding Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Child vaccination, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Condom use Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Core demographic Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Country-specific sources Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Decision-making Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Diarrhea, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Diarrhea, treatment Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Domestic violence attitudes Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Domestic violence from partner/husband Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          DPT-HB-Hib vaccinations Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Education Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Environmental Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Ethnicity and religion Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Ever use of family planning Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Female anthropometry Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Female blood testing Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Fertility Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          First or ever sexual experience Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          First use of family planning Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Fistula, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Fistula treatment Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Foods fed child in past 24 hours Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Foods given to newborns Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Future use of family planning Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          General family planning Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          General HIV/AIDS knowledge Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          General malaria Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          General maternal and infant health Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          General sources Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          General STI Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          General technical Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          General women's healthcare Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Geography, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Help sought for abuse Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          HIV/AIDS opinions and attitudes Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          HIV/AIDS testing, CS Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          HIV/AIDS testing, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          HIV/AIDS transmission and prevention Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Housing Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Identifiers Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Information on family planning Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Integrated geography Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          IPUMS International geography Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Knowledge of family planning Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Knowledge of TB Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Known source for non-users, CS Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Known source for non-users, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Male anthropometry Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Male blood testing Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Marriage and cohabitation Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Maternal antenatal care, CS Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Maternal antenatal care, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Maternal delivery care, CS Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Maternal delivery care, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Maternal pregnancy complications Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Measles vaccinations Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Media exposure Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Migration Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Misc childhood illnesses Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Mosquito nets Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Nutrition Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          ORS treatment Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Other vaccinations Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Physical abuse from others Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Physical abuse while pregnant Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Place for diarrhea treatment, CS Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Place for diarrhea treatment, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Polio vaccinations Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Possessions Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Postpartum care Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Recent sexual experience Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Recent sexual partners Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Recent use of family planning Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          SES general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Sexual abuse from others Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Sexual attitudes Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Single sample geography Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Social Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Source for child antenatal care, CS Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Source for child antenatal care, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Source for maternal antenatal care, CS Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Source for maternal antenatal care, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Source for respiratory treatment, CS Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Source for respiratory treatment, general Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Source for STI advice Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Sterilization Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Survey dates Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          TB experience Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Times child fed foods in past 24 hours Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Tobacco Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Toilet and water Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Type of family planning method Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Vaccination campaigns Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Vitamin A vaccinations Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Wealth index Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Weights and subsample selection Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Why not use family planning Variables -- PERSON
        </topcClas>
        <topcClas vocab="IPUMS">
          Work Variables -- PERSON
        </topcClas>
      </subject>
      <sumDscr>
        <timePrd date="2010-01-01" event="start"/>
        <timePrd date="2010-01-01" event="end"/>
        <collDate date="2010-01-01" event="start"/>
        <collDate date="2010-01-01" event="end"/>
        <nation abbr="MWI">
          Malawi
        </nation>
        <anlyUnit>
          Woman, Child, Birth, and Household Member
        </anlyUnit>
        <universe>
          Women age 15-49, Children age 0-4, Births, and All persons in Malawi 2010
        </universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>
          <![CDATA[MICRODATA SOURCE: National Statistical Office [Malawi] and ICF Macro

SAMPLE UNIT: Woman
SAMPLE SIZE: 23,020

SAMPLE UNIT: Child
SAMPLE SIZE: 19,967

SAMPLE UNIT: Birth
SAMPLE SIZE: 72,301

SAMPLE UNIT: Household Member
SAMPLE SIZE: 118,850]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <sources/>
      </dataColl>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          None
        </confDec>
        <contact>
          National Statistical Office [Malawi] and ICF Macro
        </contact>
        <citReq>
          <![CDATA[Publications and research reports based on the IPUMS-DHS database must cite it appropriately. The citation should include the following:

Elizabeth Heger Boyle, Miriam King, and Matthew Sobek. IPUMS-Demographic and Health Surveys: Version 4.1 [dataset]. Minnesota Population Center and ICF International, 2017. https://doi.org/10.18128/D080.V4.1

Researchers should also acknowledge the originally produced the data: National Statistical Office [Malawi] and ICF Macro. Malawi Demographic and Health Survey 2010 [Dataset]. Data Extract from MWIR61.SAV, MWHR61.SAV, MWKR61.SAV, and MWBR61.SAV. IPUMS-Demographic and Health Surveys (IPUMS-DHS), version 4.1, Minnesota Population Center and ICF International [Distributors]. http://doi.org/10.18128/D080.V4.0. Accessed from http://idhsdata.org on DATE.

The licensing agreement for use of IPUMS-DHS data requires that users supply us with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Please add your citation to the IPUMS bibliography at http://bibliography.ipums.org/.]]>
        </citReq>
        <conditions>
          Users of IPUMS-DHS data must agree to abide by the access restrictions and terms of use set forth by the DHS Program: https://dhsprogram.com/data/Access-Instructions.cfm
        </conditions>
        <disclaimer>
          The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F1" URI="MWI_2010_DHS_v01_M_v01_A_IPUMS.Nesstar?Index=0&amp;Name=MWI2010-W">
    <fileTxt>
      <fileName>
        MWI2010-W.NSDstat
      </fileName>
      <fileCont>
        Woman records
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          1613
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Minnesota Population Center
      </filePlac>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F2" URI="MWI_2010_DHS_v01_M_v01_A_IPUMS.Nesstar?Index=1&amp;Name=MWI2010-C">
    <fileTxt>
      <fileName>
        MWI2010-C.NSDstat
      </fileName>
      <fileCont>
        Child records
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          1357
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Minnesota Population Center
      </filePlac>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F3" URI="MWI_2010_DHS_v01_M_v01_A_IPUMS.Nesstar?Index=2&amp;Name=MWI2010-B">
    <fileTxt>
      <fileName>
        MWI2010-B.NSDstat
      </fileName>
      <fileCont>
        Birth records
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          1055
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Minnesota Population Center
      </filePlac>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F4" URI="MWI_2010_DHS_v01_M_v01_A_IPUMS.Nesstar?Index=3&amp;Name=MWI2010-M">
    <fileTxt>
      <fileName>
        MWI2010-M.NSDstat
      </fileName>
      <fileCont>
        Household Member records
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          515
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Minnesota Population Center
      </filePlac>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <var ID="V1" name="W_SAMPLE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        IPUMS-DHS sample identifier
      </labl>
      <valrng>
        <range UNITS="REAL" min="11" max="8945"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SAMPLE identifies the DHS sample from which the case is drawn.  Each sample receives a unique 4-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last digit identifies the sample within the country, ordered by survey year.

The related variable SAMPLESTR is a string variable that identifies the DHS sample with the same 4-digit code.]]>
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Model 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Afghanistan 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Bangladesh 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Bangladesh 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Bangladesh 1999-00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Bangladesh 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Bangladesh 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          Bangladesh 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          Bangladesh 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1041
        </catValu>
        <labl>
          Myanmar 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1081
        </catValu>
        <labl>
          Burundi 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1082
        </catValu>
        <labl>
          Burundi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1161
        </catValu>
        <labl>
          Cambodia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1162
        </catValu>
        <labl>
          Cambodia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1163
        </catValu>
        <labl>
          Cambodia 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1164
        </catValu>
        <labl>
          Cambodia 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Cameroon 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Cameroon 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Cameroon 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Cameroon 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1481
        </catValu>
        <labl>
          Chad 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1482
        </catValu>
        <labl>
          Chad 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1483
        </catValu>
        <labl>
          Chad 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Congo Democratic Republic 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Congo Democratic Republic 2013-14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2041
        </catValu>
        <labl>
          Benin 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2042
        </catValu>
        <labl>
          Benin 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2043
        </catValu>
        <labl>
          Benin 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2044
        </catValu>
        <labl>
          Benin 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Ethiopia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Ethiopia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Ethiopia 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Ethiopia 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2881
        </catValu>
        <labl>
          Ghana 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2882
        </catValu>
        <labl>
          Ghana 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2883
        </catValu>
        <labl>
          Ghana 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2884
        </catValu>
        <labl>
          Ghana 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2885
        </catValu>
        <labl>
          Ghana 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2886
        </catValu>
        <labl>
          Ghana 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Guatemala 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Guatemala 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Guatemala 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3241
        </catValu>
        <labl>
          Guinea 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Guinea 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3243
        </catValu>
        <labl>
          Guinea 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3561
        </catValu>
        <labl>
          India 1992-93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3562
        </catValu>
        <labl>
          India 1998-99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3563
        </catValu>
        <labl>
          India 2005-06
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3564
        </catValu>
        <labl>
          India 2015-16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3841
        </catValu>
        <labl>
          Cote d'Ivoire 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3842
        </catValu>
        <labl>
          Cote d'Ivoire 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3843
        </catValu>
        <labl>
          Cote d'Ivoire 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4041
        </catValu>
        <labl>
          Kenya 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4042
        </catValu>
        <labl>
          Kenya 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <labl>
          Kenya 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4044
        </catValu>
        <labl>
          Kenya 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4045
        </catValu>
        <labl>
          Kenya 2008-9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4046
        </catValu>
        <labl>
          Kenya 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4261
        </catValu>
        <labl>
          Lesotho 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4262
        </catValu>
        <labl>
          Lesotho 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4263
        </catValu>
        <labl>
          Lesotho 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Madagascar 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          Madagascar 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Madagascar 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Madagascar 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4541
        </catValu>
        <labl>
          Malawi 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4542
        </catValu>
        <labl>
          Malawi 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4543
        </catValu>
        <labl>
          Malawi 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4544
        </catValu>
        <labl>
          Malawi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4545
        </catValu>
        <labl>
          Malawi 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4661
        </catValu>
        <labl>
          Mali 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4662
        </catValu>
        <labl>
          Mali 1995-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4663
        </catValu>
        <labl>
          Mali 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4664
        </catValu>
        <labl>
          Mali 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4665
        </catValu>
        <labl>
          Mali 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5041
        </catValu>
        <labl>
          Morocco 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5042
        </catValu>
        <labl>
          Morocco 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5043
        </catValu>
        <labl>
          Morocco 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5081
        </catValu>
        <labl>
          Mozambique 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5082
        </catValu>
        <labl>
          Mozambique 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5083
        </catValu>
        <labl>
          Mozambique 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5161
        </catValu>
        <labl>
          Namibia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5162
        </catValu>
        <labl>
          Namibia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5163
        </catValu>
        <labl>
          Namibia 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5164
        </catValu>
        <labl>
          Namibia 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5241
        </catValu>
        <labl>
          Nepal 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5242
        </catValu>
        <labl>
          Nepal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5243
        </catValu>
        <labl>
          Nepal 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5244
        </catValu>
        <labl>
          Nepal 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5621
        </catValu>
        <labl>
          Niger 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5622
        </catValu>
        <labl>
          Niger 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5623
        </catValu>
        <labl>
          Niger 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5624
        </catValu>
        <labl>
          Niger 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5661
        </catValu>
        <labl>
          Nigeria 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5662
        </catValu>
        <labl>
          Nigeria 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5663
        </catValu>
        <labl>
          Nigeria 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5664
        </catValu>
        <labl>
          Nigeria 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5665
        </catValu>
        <labl>
          Nigeria 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5861
        </catValu>
        <labl>
          Pakistan 1990-91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5862
        </catValu>
        <labl>
          Pakistan 2006-07
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5863
        </catValu>
        <labl>
          Pakistan 2012-13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6041
        </catValu>
        <labl>
          Peru 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6042
        </catValu>
        <labl>
          Peru 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6043
        </catValu>
        <labl>
          Peru 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6044
        </catValu>
        <labl>
          Peru 2004-08
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6045
        </catValu>
        <labl>
          Peru 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6046
        </catValu>
        <labl>
          Peru 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6047
        </catValu>
        <labl>
          Peru 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6461
        </catValu>
        <labl>
          Rwanda 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6462
        </catValu>
        <labl>
          Rwanda 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6463
        </catValu>
        <labl>
          Rwanda 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6464
        </catValu>
        <labl>
          Rwanda 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6465
        </catValu>
        <labl>
          Rwanda 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6861
        </catValu>
        <labl>
          Senegal 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6862
        </catValu>
        <labl>
          Senegal 1992-93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6863
        </catValu>
        <labl>
          Senegal 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6864
        </catValu>
        <labl>
          Senegal 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6865
        </catValu>
        <labl>
          Senegal 2010-11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6866
        </catValu>
        <labl>
          Senegal 2012-13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6867
        </catValu>
        <labl>
          Senegal 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6868
        </catValu>
        <labl>
          Senegal 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6869
        </catValu>
        <labl>
          Senegal 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7101
        </catValu>
        <labl>
          South Africa 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Zimbabwe 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Zimbabwe 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Zimbabwe 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Zimbabwe 2005-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Zimbabwe 2010-11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Zimbabwe 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7291
        </catValu>
        <labl>
          Sudan 1989-90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7881
        </catValu>
        <labl>
          Tunisia 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7921
        </catValu>
        <labl>
          Turkey 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7922
        </catValu>
        <labl>
          Turkey 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7923
        </catValu>
        <labl>
          Turkey 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          Uganda 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Uganda 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8003
        </catValu>
        <labl>
          Uganda 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8004
        </catValu>
        <labl>
          Uganda 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8005
        </catValu>
        <labl>
          Uganda 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8006
        </catValu>
        <labl>
          Uganda 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8181
        </catValu>
        <labl>
          Egypt 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8182
        </catValu>
        <labl>
          Egypt 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8183
        </catValu>
        <labl>
          Egypt 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8184
        </catValu>
        <labl>
          Egypt 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8185
        </catValu>
        <labl>
          Egypt 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8186
        </catValu>
        <labl>
          Egypt 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8187
        </catValu>
        <labl>
          Egypt 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8341
        </catValu>
        <labl>
          Tanzania 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8342
        </catValu>
        <labl>
          Tanzania 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8343
        </catValu>
        <labl>
          Tanzania 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8344
        </catValu>
        <labl>
          Tanzania 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8345
        </catValu>
        <labl>
          Tanzania 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8346
        </catValu>
        <labl>
          Tanzania 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8541
        </catValu>
        <labl>
          Burkina Faso 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8542
        </catValu>
        <labl>
          Burkina Faso 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8543
        </catValu>
        <labl>
          Burkina Faso 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8544
        </catValu>
        <labl>
          Burkina Faso 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8871
        </catValu>
        <labl>
          Yemen 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8872
        </catValu>
        <labl>
          Yemen 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8941
        </catValu>
        <labl>
          Zambia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8942
        </catValu>
        <labl>
          Zambia 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8943
        </catValu>
        <labl>
          Zambia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8944
        </catValu>
        <labl>
          Zambia 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8945
        </catValu>
        <labl>
          Zambia 2013
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2" name="W_SAMPLESTR" files="F1" intrvl="discrete">
      <location width="8"/>
      <labl>
        IPUMS-DHS sample identifier (string)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SAMPLESTR is a string variable that identifies the DHS sample from which the case is drawn.  Each sample receives a unique 4-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last digit identifies the sample within the country, ordered by survey year.

The related variable SAMPLE is a numeric variable that identifies the DHS sample with the same 4-digit code.]]>
      </txt>
      <catgry>
        <catValu>
          0011
        </catValu>
        <labl>
          Model 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0041
        </catValu>
        <labl>
          Afghanistan 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0501
        </catValu>
        <labl>
          Bangladesh 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0502
        </catValu>
        <labl>
          Bangladesh 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0503
        </catValu>
        <labl>
          Bangladesh 1999-00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0504
        </catValu>
        <labl>
          Bangladesh 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0505
        </catValu>
        <labl>
          Bangladesh 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0506
        </catValu>
        <labl>
          Bangladesh 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0507
        </catValu>
        <labl>
          Bangladesh 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1041
        </catValu>
        <labl>
          Myanmar 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1081
        </catValu>
        <labl>
          Burundi 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1082
        </catValu>
        <labl>
          Burundi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1161
        </catValu>
        <labl>
          Cambodia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1162
        </catValu>
        <labl>
          Cambodia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1163
        </catValu>
        <labl>
          Cambodia 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1164
        </catValu>
        <labl>
          Cambodia 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Cameroon 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Cameroon 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Cameroon 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Cameroon 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1481
        </catValu>
        <labl>
          Chad 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1482
        </catValu>
        <labl>
          Chad 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1483
        </catValu>
        <labl>
          Chad 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Congo Democratic Republic 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Congo Democratic Republic 2013-14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2041
        </catValu>
        <labl>
          Benin 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2042
        </catValu>
        <labl>
          Benin 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2043
        </catValu>
        <labl>
          Benin 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2044
        </catValu>
        <labl>
          Benin 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Ethiopia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Ethiopia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Ethiopia 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Ethiopia 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2881
        </catValu>
        <labl>
          Ghana 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2882
        </catValu>
        <labl>
          Ghana 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2883
        </catValu>
        <labl>
          Ghana 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2884
        </catValu>
        <labl>
          Ghana 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2885
        </catValu>
        <labl>
          Ghana 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2886
        </catValu>
        <labl>
          Ghana 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Guatemala 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Guatemala 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Guatemala 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3241
        </catValu>
        <labl>
          Guinea 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Guinea 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3243
        </catValu>
        <labl>
          Guinea 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3561
        </catValu>
        <labl>
          India 1992-3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3562
        </catValu>
        <labl>
          India 1998-9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3563
        </catValu>
        <labl>
          India 2005-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3564
        </catValu>
        <labl>
          India 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3841
        </catValu>
        <labl>
          Cote d'Ivoire 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3842
        </catValu>
        <labl>
          Cote d'Ivoire 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3843
        </catValu>
        <labl>
          Cote d'Ivoire 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4041
        </catValu>
        <labl>
          Kenya 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4042
        </catValu>
        <labl>
          Kenya 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <labl>
          Kenya 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4044
        </catValu>
        <labl>
          Kenya 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4045
        </catValu>
        <labl>
          Kenya 2008-9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4046
        </catValu>
        <labl>
          Kenya 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4261
        </catValu>
        <labl>
          Lesotho 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4262
        </catValu>
        <labl>
          Lesotho 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4263
        </catValu>
        <labl>
          Lesotho 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Madagascar 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          Madagascar 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Madagascar 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Madagascar 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4541
        </catValu>
        <labl>
          Malawi 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4542
        </catValu>
        <labl>
          Malawi 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4543
        </catValu>
        <labl>
          Malawi 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4544
        </catValu>
        <labl>
          Malawi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4545
        </catValu>
        <labl>
          Malawi 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4661
        </catValu>
        <labl>
          Mali 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4662
        </catValu>
        <labl>
          Mali 1995-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4663
        </catValu>
        <labl>
          Mali 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4664
        </catValu>
        <labl>
          Mali 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4665
        </catValu>
        <labl>
          Mali 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5041
        </catValu>
        <labl>
          Morocco 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5042
        </catValu>
        <labl>
          Morocco 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5043
        </catValu>
        <labl>
          Morocco 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5081
        </catValu>
        <labl>
          Mozambique 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5082
        </catValu>
        <labl>
          Mozambique 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5083
        </catValu>
        <labl>
          Mozambique 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5161
        </catValu>
        <labl>
          Namibia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5162
        </catValu>
        <labl>
          Namibia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5163
        </catValu>
        <labl>
          Namibia 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5164
        </catValu>
        <labl>
          Namibia 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5241
        </catValu>
        <labl>
          Nepal 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5242
        </catValu>
        <labl>
          Nepal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5243
        </catValu>
        <labl>
          Nepal 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5244
        </catValu>
        <labl>
          Nepal 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5621
        </catValu>
        <labl>
          Niger 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5622
        </catValu>
        <labl>
          Niger 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5623
        </catValu>
        <labl>
          Niger 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5624
        </catValu>
        <labl>
          Niger 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5661
        </catValu>
        <labl>
          Nigeria 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5662
        </catValu>
        <labl>
          Nigeria 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5663
        </catValu>
        <labl>
          Nigeria 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5664
        </catValu>
        <labl>
          Nigeria 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5665
        </catValu>
        <labl>
          Nigeria 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5861
        </catValu>
        <labl>
          Pakistan 1990-91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5862
        </catValu>
        <labl>
          Pakistan 2006-07
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5863
        </catValu>
        <labl>
          Pakistan 2012-13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6041
        </catValu>
        <labl>
          Peru 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6042
        </catValu>
        <labl>
          Peru 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6043
        </catValu>
        <labl>
          Peru 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6044
        </catValu>
        <labl>
          Peru 2004-08
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6045
        </catValu>
        <labl>
          Peru 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6046
        </catValu>
        <labl>
          Peru 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6047
        </catValu>
        <labl>
          Peru 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6461
        </catValu>
        <labl>
          Rwanda1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6462
        </catValu>
        <labl>
          Rwanda 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6463
        </catValu>
        <labl>
          Rwanda 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6464
        </catValu>
        <labl>
          Rwanda 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6465
        </catValu>
        <labl>
          Rwanda 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6861
        </catValu>
        <labl>
          Senegal 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6862
        </catValu>
        <labl>
          Senegal 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6863
        </catValu>
        <labl>
          Senegal 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6864
        </catValu>
        <labl>
          Senegal 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6865
        </catValu>
        <labl>
          Senegal 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6866
        </catValu>
        <labl>
          Senegal 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6867
        </catValu>
        <labl>
          Senegal 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6868
        </catValu>
        <labl>
          Senegal 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6869
        </catValu>
        <labl>
          Senegal 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7101
        </catValu>
        <labl>
          South Africa 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Zimbabwe 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Zimbabwe 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Zimbabwe 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Zimbabwe 2005-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Zimbabwe 2010-11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Zimbabwe 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7291
        </catValu>
        <labl>
          Sudan 1989-90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7881
        </catValu>
        <labl>
          Tunisia 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7921
        </catValu>
        <labl>
          Turkey 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7922
        </catValu>
        <labl>
          Turkey 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7923
        </catValu>
        <labl>
          Turkey 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          Uganda 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Uganda 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8003
        </catValu>
        <labl>
          Uganda 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8004
        </catValu>
        <labl>
          Uganda 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8005
        </catValu>
        <labl>
          Uganda 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8006
        </catValu>
        <labl>
          Uganda 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8181
        </catValu>
        <labl>
          Egypt 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8182
        </catValu>
        <labl>
          Egypt 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8183
        </catValu>
        <labl>
          Egypt 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8184
        </catValu>
        <labl>
          Egypt 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8185
        </catValu>
        <labl>
          Egypt 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8186
        </catValu>
        <labl>
          Egypt 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8187
        </catValu>
        <labl>
          Egypt 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8341
        </catValu>
        <labl>
          Tanzania 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8342
        </catValu>
        <labl>
          Tanzania 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8343
        </catValu>
        <labl>
          Tanzania 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8344
        </catValu>
        <labl>
          Tanzania 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8345
        </catValu>
        <labl>
          Tanzania 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8346
        </catValu>
        <labl>
          Tanzania 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8541
        </catValu>
        <labl>
          Burkina Faso 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8542
        </catValu>
        <labl>
          Burkina Faso 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8543
        </catValu>
        <labl>
          Burkina Faso 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8544
        </catValu>
        <labl>
          Burkina Faso 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8871
        </catValu>
        <labl>
          Yemen 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8872
        </catValu>
        <labl>
          Yemen 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8941
        </catValu>
        <labl>
          Zambia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8942
        </catValu>
        <labl>
          Zambia 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8943
        </catValu>
        <labl>
          Zambia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8944
        </catValu>
        <labl>
          Zambia 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8945
        </catValu>
        <labl>
          Zambia 2013
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V3" name="W_COUNTRY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="894"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        COUNTRY reports the country where the survey was fielded. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Model
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Congo Democratic Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          Cote d'Ivoire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4" name="W_YEAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Year of sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1986" max="2016"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        YEAR reports the year when the survey was fielded, as a four-digit variable. In some cases, the DHS was conducted over the course of two years (e.g., Ethiopia 2010-2011), but YEAR always gives a single year. For full information about the timing of the surveys, please consult the IPUMS-DHS Sample Descriptions page.
      </txt>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V5" name="W_IDHSPID" files="F1" intrvl="discrete">
      <location width="8"/>
      <labl>
        Unique cross-sample respondent identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDHSPID is an identifying number unique to person in a given sample. It is a concatenation of SAMPLE and CASEID.
      </txt>
      <codInstr>
        IDHSPID is a 22-character string variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V6" name="W_IDHSHID" files="F1" intrvl="discrete">
      <location width="8"/>
      <labl>
        Unique cross-sample household identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDHSHID is an identifying number unique to a specific household in a given sample. It is a concatenation of SAMPLE, CLUSTERNO and HHNUM.
      </txt>
      <codInstr>
        IDHSHID is a 19-character string variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V7" name="W_DHSID" files="F1" intrvl="discrete">
      <location width="8"/>
      <labl>
        Key to link DHS clusters to context data (string)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DHSID is the 14-character DHS identification code for DHS clusters constructed from the 2-character country code, the 4-digit survey year, and the 8-digit cluster identification number. DHSID is available for every IPUMS-DHS sample and uniquely identifies clusters across samples. It serves as the unique linking key between IPUMS-DHS microdata and DHS cluster shapefiles.
      </txt>
      <codInstr>
        This is a 14-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V8" name="W_IDHSPSU" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Unique sample-case PSU identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDHSPSU is an identifying number unique to the primary sampling unit in a given sample. This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and PSU (the numbered primary sampling units within a given sample).
      </txt>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V9" name="W_IDHSSTRATA" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Unique cross-sample sampling strata
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDHSSTRATA is an identifying number unique to the sampling strata in a given sample. This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and STRATA (groups of geographically similar areas, from which primary sampling units are drawn).
      </txt>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V10" name="W_CASEID" files="F1" intrvl="discrete">
      <location width="8"/>
      <labl>
        Sample-specific respondent identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CASEID is the unique identifier for each woman in a given sample year.  Using CASEID and CLUSTERNO, analysts can link IPUMS-DHS data to the original DHS datasets to attach variables that are not currently available in IPUMS-DHS.  For example, researchers can use CASEID and CLUSTERNO to link variables from the IPUMS-DHS with other variables from the Woman's Recode file to merge country-specific variables, or to the Household or Couples Recode file to attach variables that are not yet part of IPUMS-DHS. 

In most samples, users can identify women who are in the same household by using the first 12 characters of CASEID (and CLUSTERNO (V001)), as this indicates a unique household identifier.  

CASEID is generally created by The DHS Program using the variables CLUSTERNO (V001), HHNUM (V002), and LINENO (V003), with the last three characters indicating the respondent's line number in the household file.

For instructions on how to create links between IPUMS-DHS data and DHS source data, see the User Note on "Merging IDHS and DHS Data." [URL omitted from DDI.]]]>
      </txt>
      <codInstr>
        CASEID is a 18-character string variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V11" name="W_HHID" files="F1" intrvl="discrete">
      <location width="8"/>
      <labl>
        Sample-specific household identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHID is an identifying number unique to each household in a given sample.
      </txt>
      <codInstr>
        HHID is a 15-character string variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V12" name="W_PSU" files="F1" dcml="0" intrvl="contin">
      <labl>
        Sample-specific primary sampling unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PSU (V021) is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable DOMAIN (V023) to account for the impact of the sample design clustering on the variance estimates and standard errors. 

The DHS Recode Manuals for Phase 2 forward describe this variable as follows:

 Primary sampling unit is a number assigned to sample points to identify the primary sampling units for use in the calculation of sampling errors. This variable is usually the same as the cluster number and/or the ultimate area unit, but may differ if the sample design required a multistage selection process.

See the notes on DHS webpage "Using sample weights" [URL omitted from DDI.] on variance estimation for additional information.]]>
      </txt>
      <codInstr>
        PSU (V021) is a 6-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V13" name="W_STRATA" files="F1" dcml="0" intrvl="contin">
      <labl>
        Sample-specific sampling strata
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STRATA (V022) defines the pairings or groupings of primary sampling units used in the calculation of sampling errors when using the Taylor series expansion method.

In two-stage sampling, The DHS Program may first group small geographic areas, such as enumeration areas from the last census, into broad strata defined jointly by region and urban versus rural areas within a region. In the second stage of sampling, a subset of geographic areas (sample clusters) are selected as the sites for interviewing from within defined strata. 

STRATA is not the same as DOMAIN (V023). (Domains represent statistically representative areas for which valid summary statistics can be calculated for a survey, such as provinces and national urban versus rural combined areas, as described in the survey's final report.) The DHS Program recommends using STRATA along with the variable PSU (V021) to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

Users are strongly encouraged to review the FAQ section provided by The DHS Program on specifying stratification and clustering here [URL omitted from DDI.], using Stata or SPSS to account for sample design.]]>
      </txt>
      <codInstr>
        STRATA (V022) is a 5-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="W_DOMAIN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sample-specific domain
      </labl>
      <valrng>
        <range UNITS="REAL" min="99" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DOMAIN (V023) defines the basic geographic units for which the sample was designed to yield representative estimates. 

The DHS Recode Manual describes DOMAIN as follows:

 For example, if the sample was designed to be self-weighting within region, this variable would define those regions; if the sample was designed to be self-weighting within major urban areas, other urban areas and rural areas, this variable would define the major urban, other urban and rural areas. If the sample is self-weighted at the national level, this variable is code 0.

When national estimates are desired, users should include survey design variables, including DOMAIN (V023) and PSU (V021), and the correct sample weights (e.g., PERWEIGHT (V005)) to adjust sampling errors to account for DHS' sample design.

In most countries, DOMAIN defines the stratification for the sample (generally either regional or national).  However, some countries use two levels of stratification, such as region and urban/rural areas.  Users should check for the correct stratification design by consulting the Final Report(s) for the sample(s) of interest (particularly the Introduction and Sample Design sections and Implementation Appendix).]]>
      </txt>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V15" name="W_HHNUM" files="F1" dcml="0" intrvl="contin">
      <labl>
        Household number in cluster
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHNUM (V002) is the number identifying the household in which the respondent was
interviewed, within each sample.   

To identify unique households in most samples, researchers must use HHNUM with CLUSTERNO (V001).  

For most samples, HHNUM and CLUSTERNO can be used to merge IPUMS-DHS data from the women's file to DHS Household Recode files, to incorporate household variables not yet available in the IPUMS-DHS.  However, in some household files, HHNUM and CLUSTERNO do not uniquely identify households in the DHS Household Recode file. 

For information about the IPUMS-DHS samples where HHNUM and CLUSTERNO are not sufficient to uniquely identify households, and for guidance on what further steps to take for linking files in such cases, please consult the User Note on Linking. [URL omitted from DDI.]]]>
      </txt>
      <codInstr>
        HHNUM is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V16" name="W_CLUSTERNO" files="F1" dcml="0" intrvl="contin">
      <labl>
        Sample-specific cluster number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CLUSTERNO (V001) reports the cluster number for the person's de facto residence.

According to the DHS Sampling Manual, "A cluster is the smallest geographical survey statistical unit for DHS surveys. It consists of a number of adjacent households in a geographical area. For DHS surveys, a cluster corresponds either to an [enumeration area], or a segment of a large [enumeration area]."  The most recent census for a country, which divided all territory into enumeration areas to ensure full coverage of the population, often provides the sampling frame for a DHS survey.
 
CLUSTERNO is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable STRATA to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

See the notes on DHS webpage  "Use sample weights" [URL omitted from DDI.] on variance estimation for additional information.

CLUSTERNO (V001) and HHNUM (V002) can be used to merge the women's individual recode file to the household recode file.  See the DHS webpage  Merging Datasets [URL omitted from DDI.] on variables to be used for linking data sets.]]>
      </txt>
      <codInstr>
        CLUSTERNO is an 8 digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="W_ULTAREAUNIT" files="F1" dcml="0" intrvl="contin">
      <labl>
        Sample-specific ultimate area unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ULTAREAUNIT (V004) reports the ultimate area unit for the person's de facto residence.

According to the DHS recode manuals, ULTAREAUNIT 

is a number assigned to each sample point to identify the ultimate area units in the collection of data. It is usually the same as the cluster number [CLUSTERNO (V001)], but may be a sequentially numbered variable for samples with a more complicated structure.


ULTAREAUNIT can be used to account for the impact of the sampling design clustering on the variance estimates and standard errors.]]>
      </txt>
      <codInstr>
        ULTAREAUNIT (V004) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="W_LINENO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Household line number of woman respondent
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="106"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LINENO (V003) reports the number of the line on which the DHS interviewer recorded the woman's name, when filling out the household schedule. After asking "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.
      </txt>
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        <catValu>
          1
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          1
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          2
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      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V19" name="W_LINENOHUS" files="F1" intrvl="discrete">
      <location width="8"/>
      <labl>
        Household line number of respondent's husband
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LINENOHUS (V034) reports the number of the line on which the DHS interviewer recorded the name of the women's husband/partner, when filling out the household schedule. After asking "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.
      </txt>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          Husband not in the household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V20" name="W_PERWEIGHT" files="F1" dcml="6" intrvl="contin">
      <labl>
        Sample weight for persons
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PERWEIGHT (V005) is an 8-digit variable with 6 implied decimal places, which should be used as a weighting factor to produce representative numbers accurately describing the surveyed population.

While the DHS Recode Manuals direct the researcher to divide the original weight variable by 1,000,000 before applying the weighting factor to the original DHS data files, it is not necessary to modify the value of PERWEIGHT before applying this weight to cases in IPUMS-DHS. 

PERWEIGHT should be used to weight nearly all tabulations made using IPUMS-DHS data.  Occasionally, as with the domestic violence variables, a subset of respondents are randomly selected to answer questions from a survey module, and a specialized weight such as DVWEIGHT should be used instead. 

Note: The 6 implied decimal places in PERWEIGHT mean that the last six digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.]]>
      </txt>
      <codInstr>
        PERWEIGHT is an 8-digit numeric variable with 6 implied decimal places. See the variable description for directions on the use of PERWEIGHT.
      </codInstr>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V21" name="W_AWFACTT" files="F1" dcml="0" intrvl="contin">
      <labl>
        All woman factor for total population
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AWFACTT is a 5-digit variable (in IPUMS-DHS) with 2 implied decimal places that is used to create total population estimates for all women of childbearing age, for those samples interviewing only ever-married women. A post from DHS senior staff member Tom Pullum on the DHS Users Forum explains, 

The all-woman factors are needed when you are trying to estimate something for all women, but you have to work with ever-married women because that's all you have in the sample. An example is when you want to estimate a fertility rate for all women but you only have the births and exposure for ever-married women.  You have to assume that (a) never-married women have no births and (b) awfact/100 is a multiplier to inflate exposure for ever-married women to exposure for all women.   

For surveys that used a sampling frame of all women of childbearing age, AWFACTT has a value of 100 (or 1.00, with two decimal places), and thus has no effect on the survey statistics when used as a multiplier.  For samples that included only ever-married women, AWFACTT serves as a multiplier to create total population figures for all women of childbearing age, following the assumptions noted above.

The width of AWFACTT ranges from a low of 3 to a high of 5 in the original DHS files; see Comparability for further discussion.]]>
      </txt>
      <codInstr>
        AWFACTT is a 5-digit numeric variable with 2 implied decimal places. See the variable description for directions on the use of AWFACTT.
      </codInstr>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V22" name="W_MENSELHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Household selected for men's/husband's survey (individual-level)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MENSELHH (HV027) indicates whether the respondent's household was selected for the men's or husband's survey. Samples including neither a men's survey nor a husband's survey are excluded from this variable in IPUMS-DHS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not selected
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Selected for men's survey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Selected for husband's survey
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V23" name="W_DVMODULE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Selected for domestic violence module
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DVMODULE (V044) identifies female respondents who were selected to receive questions from the domestic violence module and, for those selected, indicates whether they were interviewed.

For samples including the module, one woman of childbearing age per household was randomly selected for the interview, using a table included in the questionnaire.  Some women who were selected for the domestic violence interview refused to participate; others were excluded because the woman could not be interviewed privately.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Woman not selected
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman selected and interviewed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman selected, but privacy not possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman selected, but not interviewed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V24" name="W_DVWEIGHT" files="F1" dcml="6" intrvl="contin">
      <labl>
        Weight for domestic violence module
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DVWEIGHT (D005) is an 8-digit variable with 6 implied decimal places, which should be used as a weighting factor for the subset of women who were randomly selected and interviewed in privacy for the domestic violence module (as indicated by DVMODULE) (V044). For further information about using weights with the DHS data, see PERWEIGHT (V005).  

Note: The 6 implied decimal places in DVWEIGHT mean that the last six digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.]]>
      </txt>
      <codInstr>
        DVWEIGHT is an 8-digit numeric variable with 6 implied decimal places.
      </codInstr>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V25" name="W_HEMOSELECT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Household selected for hemoglobin measurements
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HEMOSELECT (V042) indicates whether the respondent's household was selected for hemoglobin measurements of the household members. 

Hemoglobin is a protein in the red blood cells that carries oxygen from the lungs to the organs and tissues and transports carbon dioxide back to the lungs. Low hemoglobin levels indicate the presence of anemia (which may be caused by inadequate nutrition or chronic disease).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not selected
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Selected
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="W_INTYEAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Year of interview
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INTYEAR (V007) reports the year the interview took place. 

The dates reported in INTYEAR are based on the Gregorian calendar.]]>
      </txt>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V27" name="W_MONTHINT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Month of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MONTHINT (V006) reports the month when the interview took place.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V28" name="W_INTDAY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Day of month of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="31"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INTDAY (V016) reports the day of the month on which the interview took place. INTDAY uses dates expressed in the Gregorian calendar.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V29" name="W_INTDATECMC" files="F1" dcml="0" intrvl="contin">
      <labl>
        Century month date of interview
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INTDATECMC (V008) reports century month code for the date on which the interview took place. 

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTDATECMC are calculated using the Gregorian calculator.]]>
      </txt>
      <codInstr>
        INTDATECMC (V008) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V30" name="W_INTRESULT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Result of individual interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="7"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INTRESULT (V015) reports the result of the individual interview. Code 1 represents a completed interview. Only completed interview cases are included in the DHS women's individual recode files, which provide the source material for IPUMS-DHS.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not at home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Postponed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Partly completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Respondent Incapacitated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="W_EVMARALLSAMP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever-married or all-women sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EVMARALLSAMP (V020) indicates whether the sample includes only ever-married women or includes all women of childbearing age.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          All women sample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ever-married women sample
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V32" name="W_INTERVIEWERIDIR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Identification number of interviewer, women's survey
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INTERVIEWERIDIR (V028) reports the interviewer identification code for the interviewer conducting the individual women's interviews for women of childbearing age. Codes are country- and sample-specific; a given numeric code in one survey refers to a different person than the same numeric code in another survey. Numbering of interviewer codes is not necessarily consecutive; some surveys use "0" as an identification code, for example, while others begin with a 3-digit number. Using the interviewer identification codes, researchers can evaluate whether the quality of responses (e.g., the number of "missing" cases) depended on the person conducting the interview.
      </txt>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="W_HIVCONSENT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Result of consent statement for HIV test
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HIVCONSENT (V473a) indicates whether permission was granted for the person's blood to be drawn and tested for HIV antibodies or, if not, why not. Interviewers read a statement about HIV testing and requested permission to draw and test the individual's blood; blood was drawn only if consent was given by the persons themselves (if adults) or by a parent or guardian (if a minor).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Permission granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Permission not granted/not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Parent/responsible adult refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Respondent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          No adult present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Problem with sample drawn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="W_HIVBLOODTEST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Blood tested for HIV
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HIVBLOODTEST (V473b) indicates whether the person's blood was drawn and tested for HIV antibodies or, if not, why the person's blood was not tested. All "no" responses have a common first digit of "2," while the second digit reveals the reason (e.g., consent refused, blood sample insufficient or damaged).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Blood taken and tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Blood not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Person not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Consent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sample not tested/lost/damaged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V35" name="W_URBAN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Urban-rural status
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        URBAN (V025) indicates whether the person's de facto residence was in an urban or rural location. The definition of urban varies across countries. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="W_DEFACTORES" files="F1" dcml="0" intrvl="discrete">
      <labl>
        De facto place of residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="22"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DEFACTORES (V026) reports the type of place--city, town, or countryside--where the person was interviewed.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Capital or other large city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Other city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Town or countryside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Countryside
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="W_PREVRESTYP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of place of previous residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREVRESTYP (V105) reports the type of place--city, town, countryside, or a site abroad--where the person lived just before moving to the current place of residence.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Capital or other large city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Other city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Town or countryside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Countryside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other or abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Other, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="W_GEO_MW1992_2016" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malawi regions, 1992-2016 [integrated; GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO_ MW1992_2016 indicates the region of Malawi where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

Labels identify the modern geographic units (regions) contained in each integrated region. Each sample also has its own non-integrated geography variable. An additional integrated variable, GEOALT_MW2010_2016, does not include the 1992, 2000, or 2004 Malawi samples but contains greater geographic detail (districts).

An integrated GIS map (in shapefile format) for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Integrated geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="W_GEOALT_MW2010_2016" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malawi districts, 2010-2016 [integrated; GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="313"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEOALT_ MW2010_2016 indicates the region of Malawi where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

DHS regions in GEOALT_ MW2010_2016 are equivalent to districts. Each sample also has its own non-integrated geography variable. An additional integrated variable, GEO_MW1992_2016, includes the 1992, 2000, and 2004 Malawi samples and contains less geographic detail (regions).

An integrated GIS map (in shapefile format) for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Chitipa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Nkhatabay and Likoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Rumphi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Mzimba and Mzuzu City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Kasungu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Nkhota kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Ntchisi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Dowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Salima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Lilongwe and Lilongwe City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Mchinji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Dedza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Ntcheu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Mangochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Machinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Zomba and Zomba City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Chradzulu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Blantyre and Blantyre City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Thyolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Mulange
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Phalombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Chikwawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Ndanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Balaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Neno
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Integrated geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="W_GEO_MW2010" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malawi regions, 2010 [GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO_MW2010 (V101_MW2010) indicates the region of Malawi where the respondent was interviewed. DHS units in the 2010 Malawi survey are equivalent to regions.

Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_MW1992_2016, that provides spatially consistent units over time. Greater geographic detail for the Malawi 2010 sample can be found in GEOALT_MW2010.

A GIS map for GEO_MW2010 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Single sample geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="W_GEOALT_MW2010" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malawi districts, 2010 [GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="313"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEOALT_MW2010 indicates the region of Malawi where the respondent was interviewed. DHS regions in GEOALT_MW2010 are equivalent to districts. 

Other sample years have their own sample-specific geography variables.  There is also an integrated variable GEOALT_MW2010_2016 that provides spatially consistent units over time. Lesser geographic detail for the Malawi 2010 sample can be found in GEO_MW2010. An additional integrated variable, GEO_MW1992_2016, provides spatially consistent units over time with less geographic detail.

A GIS map for GEOALT_MW2010 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.]]>
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Chitipa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Nkhatabay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Rumphi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Mzimba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Kasungu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Nkhota kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Ntchisi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Dowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Salima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Lilongwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Mchinji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Dedza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Ntcheu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Mangochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Machinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Zomba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Chiradzulu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Blantyre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Thyolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Mulanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Phalombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Chikwawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Nsanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Balaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Neno
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Single sample geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="W_DHS_IPUMSI_MW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        DHS-IPUMS-I Malawi regions, 1987-2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DHS_IPUMSI_ MW provides geographic codes for Malawi that match those in the DHS and IPUMS-International  [URL omitted from DDI.] databases. This variable can be used to link contextual area data from IPUMS-DHS to IPUMS-International or vice versa. The codes in DHS_IPUMSI_MW indicate the major administrative unit in which the household was enumerated or surveyed.

GIS shapefiles for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        IPUMS International geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="W_AGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="64"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGE (V012) reports the woman's age. DHS surveys collect information about the woman's age through questions about age at last birthday and date of birth.  DHS Recode Manuals provide the following information about how the AGE variable is calculated:

Current age in completed years is calculated from the century month code of the date of birth of the respondent (V011) and the century month code of the date of interview (V008). In a few cases the age in the data file will be different from that reported by the respondent when the respondent's birthday was in the month of interview, but she had not yet had her birthday. If the respondent correctly reported her age at her last birthday (and not her age at her next birthday) then the calculated age was rounded up from the reported age, to avoid inconsistencies between the age and the century month code for the birth.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" name="W_AGE5YEAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age in 5 year groups
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="93"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGE5YEAR (V013) reports the woman's age in 5-year groups, based on data from the AGE (V012) variable. The age range of women interviewed varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 to 14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          10 to 14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          13-14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          15-19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          20-24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          25-29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          30-34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          35-39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          40-44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          45-49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          50+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          50-54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          55-59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          60-64
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V45" name="W_BIRTHMO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's month of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHMO (V009) reports the woman's month of birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="W_BIRTHYEAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's year of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1936" max="2002"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHYEAR (V010) reports the woman's year of birth.
      </txt>
      <catgry>
        <catValu>
          1936
        </catValu>
        <labl>
          1936
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1937
        </catValu>
        <labl>
          1937
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1938
        </catValu>
        <labl>
          1938
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1939
        </catValu>
        <labl>
          1939
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1940
        </catValu>
        <labl>
          1940
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1941
        </catValu>
        <labl>
          1941
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1942
        </catValu>
        <labl>
          1942
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1943
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1944
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1945
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1946
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1947
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="W_DOBCMC" files="F1" dcml="0" intrvl="contin">
      <labl>
        Respondent's date of birth, in century months
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DOBCMC (V011) reports the century month code (CMC) for the woman's date of birth. 

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].]]>
      </txt>
      <codInstr>
        DOBCMC (V011) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V48" name="W_DOBINFORESP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Information given on respondent's date of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DOBINFORESP (V014) reports the completeness of information about the respondent's age and date of birth. A code of 0 indicates the month and the year were reported, and no data were imputed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Month and age, year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year and age, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Year and age, year ignored
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Year only, age and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Age only, year and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Month only, age and year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Season and year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          None reported, all imputed
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V49" name="W_RESIDENT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Usual resident or visitor
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RESIDENT (V135) indicates whether the woman was a usual resident of the household or was just visiting there. As defined by the RESIDENT variable, a visitor could potentially reside in the city, town, or village where the interview took place but would have answered "No" to the question, "Does (NAME) usually live here [in this dwelling unit]?" on the household questionnaire.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Usual resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" name="W_RELATE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Respondent's relationship to HH head
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELATE (V150) reports the woman's relationship to the head of the household, based on a question in the household questionnaire.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Daughter or son
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Daughter- or son-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Mother or father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Sister or brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Co-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Adopted/foster child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Niece or nephew by blood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Niece or nephew by marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Niece or nephew unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Sibling-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Aunt or uncle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Nonrelative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Domestic servant/employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Herdboy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V51" name="W_PREGNANT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Currently pregnant
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREGNANT (V213) indicates whether the respondent is currently pregnant.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No/unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V52" name="W_DURCURPREG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For currently pregnant women, DURCURPREG (V214) reports the imputed duration of the woman's current pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V53" name="W_TRIPSAWAYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of trips away from home in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TRIPSAWAYR (V167) reports the number of times the respondent has been away from home or from her home community for one or more nights in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V54" name="W_TRIPAWAY1MO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Respondent away from home for over 1 month in last year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TRIPAWAY1MO (V168) indicates whether the respondent has been away from home or from her home community for more than one month at a time in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V55" name="W_RELIGION" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Religion
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELIGION (V130) reports the woman's religion. While the categories and codes for the religion variable in the original DHS files are country-specific, IPUMS-DHS uses a 3-digit composite coding system to fit these diverse categories into a single variable without losing information. See Comparability.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Muslim/Islam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Anglican
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Methodist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Presbyterian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Lutheran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Baptist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Pentacostal/Charismatic/Evangelical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Apostolic Sect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Seventh Day Adventist/Baptist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Jehovah's Witnesses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Universal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Other Christian, unspecified/general
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Other Protestant, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Other Christian, specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Ethiopian Orthodox
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Celestial Church of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          African Zionist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Munu Mwama (African Pentecostal)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          United Faith Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          African Orthodox Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          Evangelical Lutheran Church in Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          Lesotho Evangelical Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Kimbanguist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Orthodox
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Mammon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Other, not Christian or Islam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Hindu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Sikh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Buddhist/Neo-Buddhist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Jewish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Parsi/Zoroastrian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Doni-Polo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Sanamahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Bahai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Bisaka group/Faith of Unity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Kirat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Traditional/spiritual/animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Traditional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Spiritual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Voodoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          No religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Religion 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Religion 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Religion 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Religion 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and religion Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="W_ETHNICITYMW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ethnicity, Malawi
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ETHNICITYMW (V131MW) is a variable specific to Malawi that reports responses to a question about the woman's tribe or ethnicity. The number of groups identified varied across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Chewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tumbuka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Lomwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Yao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Nkonde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Ngoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other groups
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Amanganja/Anyanja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mang'anja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Lambya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Ndali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Nyanja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Other, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and religion Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V57" name="W_RESIDEINTYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Years lived in place of residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RESIDEINTYR (V104) reports the number of years the woman had been living continuously in the village, town, or city where she was interviewed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Always
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V58" name="W_HHMEMTOTAL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total number of household members
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="80"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHMEMTOTAL (V136) reports the total number of members of the woman's household.  

According to the DHS Recode Manuals, HHMEMTOTAL is calculated by summing "the number of usual residents and the number of visitors who slept in the house the previous night that were listed in the household schedule."  "Usual residents" of the household are identified by the RESIDENT variable.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="W_HHELIGWOMEN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of eligible women in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHELIGWOMEN (V138) reports the number of eligible women in the household, usually defined as women of childbearing age who slept in the household the previous night (regardless of whether they were usual residents or visitors). The age and marital status guidelines for defining eligible women varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          No women age 15-49
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V60" name="W_HHKIDLT5" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of children under 5 in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="25"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHKIDLT5 (V137) reports the number of children age 5 and under who reside in the household. Visiting children are not included in the count.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V61" name="W_HHEADAGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age of household head
      </labl>
      <valrng>
        <range UNITS="REAL" min="2" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHEADAGE (V152) reports the age of the head of the household.
      </txt>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
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          91
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          91
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          92
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          93
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          94
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          94
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      </catgry>
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          97+
        </labl>
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      <catgry>
        <catValu>
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        <labl>
          Missing
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      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="W_HHEADAGEHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age of household head (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHEADAGEHH (HV220) reports the age of the head of the household.

The information in HHEADAGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
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        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="W_HHEADSEX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of household head
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHEADSEX (V151) reports the sex of the head of the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="W_HHEADSEXHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of household head (from hh record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHEADSEXHH (HV219) reports the sex of the head of the household.

The information in HHEADSEXHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V65" name="W_FAMSTRUCTR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Relationship structure in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FAMSTRUCTR (HV217) indicates the relationship structure (no adults, one adult, two related adults of the opposite sex, two related adults of the same sex, three or more related adults, or unrelated adults) in the household. Only usual (de jure) household members aged 15 and over are considered in determining the household's relationship structure. FAMSTRUCTR is a constructed variable, based on information about each household member's age, sex, and relationship to the householder, which was collected when completing the listing of persons in the household at the time of the survey.

The information in FAMSTRUCTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          One adult
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Two adults, opp sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Two adults, same sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Three plus related adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unrelated adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="W_HHDEATHYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Member of HH died in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHDEATHYR (HV249) indicates whether any member of the household died in the 12 months before the survey.

The information in HHDEATHYR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V67" name="W_HHDEATHYRNO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of HH members who died in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHDEATHYRNO (HV250) indicates the number of household members who died in the 12 months before the survey.

The information in HHDEATHYRNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V68" name="W_SICKADULTNO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of sick people age 18 to 59 in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SICKADULTNO (HV248) reports the number of sick people age 18-59 in the household.

The information in SICKADULTNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="W_HHORPHANNO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of orphans and vulnerable children in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="96"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHORPHANNO (HV251) indicates the number of orphans and vulnerable children in the household.

The information in HHORPHANNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V70" name="W_MARSTAT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's current marital or union status
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MARSTAT (V501) reports the woman's current marital status. Response categories and question wording vary across surveys. See Comparability.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unconsummated marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Married or living together
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Living together
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Formerly in union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Separated/not living together
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Deserted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="W_EVERMARRIED" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever been married
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently married or living with a man, EVERMARRIED (V535) reports the woman's relationship history as "No [never married/in union]," "Formerly married," or "Lived with a man."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Formerly married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Formerly married with certificate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Formerly married by custom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Lived with a man
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V72" name="W_CURRMARR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman never, currently, or formerly married
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CURRMARR (V502) reports the woman's marital/union status as "Never married," "Currently married," or "Formerly married."

"Never married" includes women who have never lived with a partner. "Currently married" includes women who are married and those who are not formally married but are living with a partner. "Formerly married" includes women who are widowed, divorced, or separated, or who have formerly lived with a partner. For samples restricted to ever-married women, only women who are formally married (not cohabiting) are included as "married."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Currently married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Formerly married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V73" name="W_UNION1MORE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman had one or more than one union
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had ever been married or lived with a man, UNION1MORE (V503) indicates whether the respondent had been in one or more than one marriage/union.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          One
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          More than one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V74" name="W_AGEFRSTMAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age at first marriage or cohabitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGEFRSTMAR (V511) reports the woman's age at the start of her first marriage or union. This usually refers to when the woman first started to live with her first husband or partner. According to the DHS Recode Manuals, "Age at start of first marriage or union is calculated from the century month code of the date of start of first marriage or union and the century month code of the date of birth of the respondent."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V75" name="W_HUSAGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age of husband/partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HUSAGE (V730) reports the age of the woman's husband or co-resident partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V76" name="W_DURMARGRP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Marital or cohabitation duration (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DURMARGRP (V513) reports the number of years elapsed since the woman's first marriage or cohabiting union until the date of the survey interview, in five-year groups. The duration is reported irrespective of whether the respondent is still married or in a union with her first partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          0 to 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          5 to 9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          10 to 14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          15 to 19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          20 to 24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          25 to 29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V77" name="W_MAR1STMO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Month of first marriage or cohabitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had ever been married or lived with a man, MAR1STMO (V507) reports the month of their first marriage or (for most samples) unmarried cohabitation. The year of the woman's first marriage/union is reported in MAR1STYR (V508).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V78" name="W_MAR1STYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Year of first marriage or cohabitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="1943" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had ever been married or lived with a man, MAR1STYR (V508) reports the year of their first marriage or (for most samples) unmarried cohabitation. The month of the woman's first marriage/union is reported in MAR1STMO (V507).
      </txt>
      <catgry>
        <catValu>
          1943
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1944
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1945
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1946
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1947
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V79" name="W_YRSTO1STMAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Years since starting date of 1st marriage or union
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had ever been married or lived with a man, YRSTO1STMAR (V512) reports the number of years from the start of the woman's first marriage/union to the date of the survey interview. The calculation is made using century month codes for both dates.

For the month and year of first marriage/union, see MAR1STMO (V507) and MAR1STYR (V508) respectively.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V80" name="W_MAR1STCMC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Date of first marriage or cohabitation (CMC)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAR1STCMC (V509) reports the century month code (CMC) for the date of the woman's first marriage or cohabitation. 

Century month codes (CMC) are particularly useful checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V81" name="W_MAR1STDATINFO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information, date of first marriage/union
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MAR1STDATINFO (V510) reports the completeness of information for the date of the woman's first marriage or cohabitation. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Month and age reported, year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year and age reported, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Year reported, age and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Age reported, year and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Month reported, age and year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Year and age reported, year ignored
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Season and year reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          All values imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          All reported, inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V82" name="W_MARTO1STBORNMO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months between respondent's 1st marriage and 1st birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="998" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MARTO1STBORNMO (V221) reports the number of months between the woman's first marriage (i.e., formal marriage or first episode of living with a man) and her first birth. For women whose first birth occurred before their first marriage, this variable is coded as '998.'
      </txt>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          First birth prior to first marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V83" name="W_WIFENUM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of other wives
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were currently married or living with a man, WIFENUM (V505) reports the number of other wives (or co-resident partners) their husband/partner had. Question wording varied across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No other wives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Has other wives, dk number
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V84" name="W_WIFERANK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Wife rank number
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women married to or living with a man who had more than one wife/partner, WIFERANK (V506) reports the woman's rank among her husband's/partner's wives/partners.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V85" name="W_HUSBINHOME" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Husband/partner lives in woman's household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were currently married or living with a man, HUSBINHOME (V504) indicates whether the husband/partner lived with the woman or stayed elsewhere.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Living with woman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Staying elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V86" name="W_MARENDWHY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason previous marriage ended
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MARENDWHY (V538) indicates the reason (death/widowhood, divorce, or separation) the respondent's previous marriage or union ended.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Death/widowhood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V87" name="W_CHEB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total children ever born
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHEB (V201) reports the total number of children ever born to the respondent.  The number reported in CHEB is the sum of a series of variables covering the total number of sons and daughters who are living at home, living away from home, or who have died (V202 to V207).   

The number of births reported in CHEB will match the number of entries in the birth history (V224) for up to 20 births.  If the woman reported more than 20 births, then the number for CHEB will exceed the number of births in the birth history, but such cases are rare.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V88" name="W_TOTBIRTHIST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of entries in the birth history
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TOTBIRTHIST (V224) reports the number of entries in the woman respondent's birth history. 

For up to 20 births, the birth history contains information for each of the respondent's births. In those rare cases when the respondent had more than 20 births, the birth history lists the last 19 births and the first birth.  

In cases where the women had fewer than 20 births, the number reported in TOTBIRTHIST will match the number reported in CHEB (V201), the total number of children ever born to the respondent.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V89" name="W_SONSATHOME" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of own sons living at home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are currently living with her. 

The related variable SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth and are still alive, but who are not currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V90" name="W_DAUSATHOME" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of own daughters living at home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are currently living with her. 

The related variable DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth and are still alive, but who are not currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V91" name="W_SONSAWAYHOME" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of own sons living away from home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are still alive, and who are currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V92" name="W_DAUSAWAYHOME" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of own daughters living away from home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are still alive, and who are currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V93" name="W_SONSDIED" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of own sons who have died
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SONSDIED (V206) reports the number of sons to whom the woman has given birth who have died.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V94" name="W_DAUSDIED" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of own daughters who have died
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DAUSDIED (V207) reports the number of daughters to whom the woman has given birth who have died.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V95" name="W_BIRTHSIN5YRS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of births in last 5 years
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSIN5YRS (V208) reports the number of births the woman had in the five years prior to the survey. This statistic is calculated based on the total number of births in the 0 to 59 months prior to the month of the interview.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V96" name="W_BIRTHSIN1YR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of births in the past year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSIN1YR (V209) reports the number of births the woman had in the year prior to the survey. This statistic is calculated based on the total number of births in the months 0 to 12 (not 0 to 11) prior to the month of the interview. For example, if the survey were given in January, BIRTHSIN1YR would report the number of births the woman had between the time of the survey and the previous January.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V97" name="W_BIRTHSIN1MO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total number of births in month of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSIN1MO (V210) reports the total number of births the woman had in the month of interview.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V98" name="W_DOB1STKIDCMC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Date of respondent's first birth, in century months
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DOB1STKIDCMC (V211) reports the century month code (CMC) for the date of the woman's first birth. 

The Guide to DHS Statistics (2003) explains the use and calculation of CMC values as follows:

Century month codes (CMC) are particularly important to check consistency of dates, to calculate intervals between events, and to impute dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. That year was chosen as the reference period because all of the DHS relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 will be:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed since January 1900 to June 2002. Based on CMC it is possible to calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )]]>
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="W_TIMEMENSTRUATE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time since woman's last menstrual period
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TIMEMENSTRUATE (V215) reports the time passed since the woman's last menstrual period, in days, weeks, months, or years.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Day of Interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Days: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 Weeks: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          91 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          92 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          93 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          94 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          95 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          96 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          97 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          98 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 Months: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          98 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Years: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          35 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          36 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          37 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          38 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          39 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          40 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          41 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          42 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          43 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          44 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          45 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          46 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          47 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          48 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          49 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Currently pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          In menopause/had hysterectomy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Never menstruated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V100" name="W_MENSTRUATE6WK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman menstruated last 6 weeks
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MENSTRUATE6WK (V216) indicates whether the woman menstruated in the 6 weeks prior to the interview, as calculated from TIMEMENSTRUATE (V215).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V101" name="W_OVCYCLE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        When in cycle thinks pregnancy is most likely
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        OVCYCLE (V217) suggests the woman's knowledge of the ovulatory cycle by reporting when she believes a woman has the greatest chance of becoming pregnant.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          During her period
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          After period ended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Middle of the cycle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Before period begins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          At any time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other/It depends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V102" name="W_CHEBALIVE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total number of living children born to respondent
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHEBALIVE (V218) reports the total number of children ever born to the respondent who are currently living. The number reported in CHEBALIVE (V218) is the sum of a series of variables reporting the total number of sons and daughters who are living at home and who are living away from home (V202 to V205 - SONSATHOME, DAUSATHOME, SONSAWAYHOME, and DAUSAWAYHOME). 

The related variable CHEB (V201) reports the total number of children ever born to the respondent, regardless of survival status.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="W_CHSURVPLUSPG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total number of living children including current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHSURVPLUSPG (V219) reports the woman's total number of living children, including her current pregnancy. 

CHSURVPLUSPG takes the value of CHEBALIVE (V218) and adds 1 if the respondent is pregnant.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V104" name="W_CHEBALIVETRUNC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total number of living children, truncated at 6+
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHEBALIVETRUNC (V220) reports the woman's total number of living children (including current pregnancy), truncated at 6 or more children. This variable is a grouping of CHSURVPLUSPG (V219) truncated at 6+ children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="W_LASTBIRTHTOINTMO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Interval between last birth and interview, in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have ever given birth, LASTBIRTHTOINTMO (V222) reports the number of months between their last birth and the date of interview.
      </txt>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="W_CONCEPTDATEFLAG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information on date of conception, current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For pregnant women, CONCEPTDATEFLAG (V223) indicates the completeness of information relating to the date of conception of their current pregnancy.  According to the DHS Recode Manuals, "This variable indicates whether the date of conception was exactly specified by the duration of the current pregnancy or the duration was imputed from other information." 

The related variable DURCURPREG reports the duration of the current pregnancy.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month- exact date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Date missing, imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V107" name="W_MENSTIMFLAG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag for reported time since last menstrual period
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MENSTIMFLAG (V227) is a flag variable that indicates the type of problem, if any, found in editing responses on the time since the respondent's last menstrual period. Cases without a problem are coded 0.

For time since last menstrual period, see TIMEMENSTRUATE (V215).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Number GT interval since birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Number plus amenorrhea GT interval
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Number reported, but period not returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Reported before last birth, but no birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Reported before last birth, but period since
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Reported never menstruated, but period returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Reported time during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Reported never menstruated but had kids
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Reported period before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V108" name="W_PREGTERMIN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever had pregnancy terminate via abortion, miscarriage or stillbirth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREGTERMIN (V228) indicates whether the woman ever had a pregnancy that was terminated due to miscarriage, abortion, or stillbirth, and did not result in a live birth.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="W_PREGTERMINMO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Calendar month of pregnancy termination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have had a pregnancy terminated through abortion, stillbirth or miscarriage, PREGTERMINMO (V229) indicates the calendar month when the last pregnancy termination occurred.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Decement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V110" name="W_PREGTERMINYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Year of last pregnancy termination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1956" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have had a pregnancy terminated through abortion, stillbirth or miscarriage, PREGTERMINYR (V230) reports the year when the last pregnancy termination occurred.
      </txt>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V111" name="W_PREGTERMTIM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months pregnant when pregnancy terminated
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had a pregnancy end without a live birth (through abortion, stillbirth or miscarriage) 5 years before the survey, PREGTERMTIM (V233) indicates how many months pregnant the woman was when the pregnancy ended.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V112" name="W_PREGTERMPREV" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Respondent had previous pregnancy terminations (prior to last 5 years)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had a pregnancy end without a live birth (through abortion, stillbirth or miscarriage) in the 5 years before the survey, PREGTERMPREV (V234) indicates whether the woman had any other pregnancies that ended without a live birth.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V113" name="W_PRECALBIDX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Birth history index for last child born prior to the start of the calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PRECALBIDX (V235) provides the birth index number (see BIDX for more information) of the last child born to the woman before the start of the survey's birth calendar. For the majority of samples, PRECALBIDX reports the birth index number of the last child born prior to 5 years before the survey. For a minority of samples, the reference period is 3 or 4 years before the survey. See Sample Description [URL omitted from DDI.] information on the universes for children included in the surveys to learn the specific reference period for each survey.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No prior child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 (or yes, prior child)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V114" name="W_BIRTHSOTHER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other live births in interval between last birth reported and date of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSOTHER (V237) indicates whether the woman had any other live births in the interval between the last reported birth and the date of the interview. The question for this variable verifies whether the woman omitted any births when reporting her birth record. Omitted births should be included in the final version of the birth history in the variable CHEB (V201).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V115" name="W_BIRTHSTOT3YR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total births in last 3 years prior to interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSTOT3YR (V238) indicates the total number of births the woman had in the 3 years (0 to 35 months) prior to the interview (where 0 is the month of interview). Responses are based on the woman's birth history table, which records the month and year of her children's births.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V116" name="W_PRECALTERM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Had pregnancies ending in miscarriage, abortion or stillbirth before calendar beginning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PRECALTERM (V239) indicates whether the respondent had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V117" name="W_PRECALTERMMO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Month of last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMMO (V240) indicates the calendar month of the termination.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V118" name="W_PRECALTERMYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Year of last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="1960" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMYR (V241) indicates the calendar year of the termination.
      </txt>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V119" name="W_PRECALTERMCMC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Century month date of last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMCMC (V242) reports the century month date of the last pregnancy termination before the start of the birth calendar.

For information on how to interpret and calculate century month dates, see DOBCMC.

All samples in PRECALTERMCMC use the Gregorian calendar.  For similar data for Ethiopian samples using the Ethiopian calendar, see PRECALTERMCMC_ET.]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V120" name="W_PRECALTERMCOMP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information for last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMCOMP (V243) reports the completeness of information about the month and year of that pregnancy termination.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month &amp; Year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From Calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V121" name="W_TIMEMENSCALC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Computed time since last menstrual period
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMEMENSCALC (V226) reports the computed time since the respondent's last menstrual period. 

According to the DHS Recode Manuals, this variable

is computed from the response for V215, with durations exceeding the interval since the last birth (V227 = 7,9) recoded to the response "Before last birth" (code 995) and inconsistent responses flagged on variable 227 (codes 1-6) recoded to 997.


Restated in terms of IPUMS-DHS variables and variable labels, TIMEMENSCALC is computed from the response for TIMEMENSTRUATE (Time since woman's last menstrual period).  Cases with durations exceeding the interval since the last birth, when MENSTIMFLAG (Flag for reported time since last menstrual period) has values for "Reported time during pregnancy" or "Reported period before last birth," are recoded as "Before last birth" in TIMEMENSCALC.  Cases with inconsistent or implausible responses according to MENSTIMFLAG (for example, the woman reportedly never menstruated but she has given birth) are recoded to "Inconsistent" for TIMEMENSCALC.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No time difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          In menopause/had hysterectomy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Pregnant, not asked
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          In menopause
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Never menstruated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V122" name="W_AGEAT1STBIRTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age of respondent at time of first birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="2" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGEAT1STBIRTH (V212) reports the age of the woman at the time of her first birth. This variable is calculated by using the century month code (CMC) of the date of the woman's first birth (DOB1STKIDCMC) and the CMC of the woman's date of birth (DOBCMC).
      </txt>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V123" name="W_PREGTERMCMC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Century month date of last pregnancy termination
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PREGTERMCMC (V231) reports the century month code of the respondent's last pregnancy termination.  

According to the DHS Recode Manuals, "The CMC date of termination is calculated from the preceding questions [on month and year of last pregnancy termination], or from the calendar, if possible, in cases where an exact date was not given for the date of last pregnancy termination."

For detailed discussion of the calculation and interpretation of century month codes, see DOBCMC (Respondent's date of birth, in century months).]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V124" name="W_PREGTERMFLAG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Date flag for last terminated pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREGTERMFLAG (V232) is a flag variable that indicates the type of information available on the date of the respondent's last terminated pregnancy. Survey forms supplied room to collect the month and year of the last terminated pregnancy, and cases for which both month and year are available are coded 1.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V125" name="W_SLEEPROOMS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of rooms in HH used for sleeping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SLEEPROOMS (HV216) reports the number of rooms in the household used for sleeping.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V126" name="W_WALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Main material of outside walls of dwelling
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WALL (HV214) reports the main material of the outside walls of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No walls
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Cane/palm/trunks/grass/sticks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Cane/palm/trunks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Cane/trunks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Cane/trunks/bamboo/reeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Palm branches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Sticks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Shells
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Earth/mud/dirt/dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Unbaked brick, mud, or earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Mud, dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Dirt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Hay with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Animal dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Thatch/mat/leaves/straw/reeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Thatch or straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Bamboo with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Bamboo/wood with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Stone with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Rough wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Plywood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Reused wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Timber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Wood/metal planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Poles and mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Trunks with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Tin/cardboard/paper/bags
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Cardboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Carton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Uncovered adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Corrugated metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          Canvas/tent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Unburnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Unburnt brick and plaster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Unburnt brick with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Semi-dur (cement and sand blocks)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Finished/burnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Burnt bricks with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Burnt bricks with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Sundried bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Cement blocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Wood planks/shingles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Wood and grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Stone with lime/cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Covered adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Other finished
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Metal or asbestos sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          T-iron/wood/brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          Iron or zinc sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          Corrugated asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Metal, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V127" name="W_FLOOR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Main material of floor
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FLOOR (HV213) reports the main material of the floor of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Earth-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Earth, sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Earth, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Earth, mud, clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Dirt/Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Mud and hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Dung-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Earth and dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Mud, dung, sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Wood planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Wood and tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Wood/palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Palm/bamboo/leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Other rudimentary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Broken bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unfinished stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Parquet/polished wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Polished wood/vinyl/tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Vinyl/asphalt strips/linoleum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Linoleum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Vinyl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Tiles/mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Ceramic tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Cement tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Ceramic/terrazo tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Ceramic/marble tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Tiles/brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Carpet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Mat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Terrazzo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Other finished
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          Plaster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V128" name="W_ROOF" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Main material of roof
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ROOF (HV215) reports the main material of the roof of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No roof
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Thatch/palm leaf/grass/makuti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Thatch/palm leaf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Grass, thatch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Grass, thatch, makuti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Thatch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Thatch/mat/leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Grass/leaves/mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Sticks/sticks with mud or dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Dung, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Earth, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Sod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Sod/mud and grass mixture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Mud and hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Rustic mat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Rustic mat, plastic sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Plastic/polythene sheet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Palm, bamboo, grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Reed, bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Wood planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Wooden tiles, planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Wood, mulch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Cardboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Rudimentary - metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Tin cans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Iron sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Other rudimentary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Mobile roofs of nomads
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Skin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Metal, zinc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Corrugated metal sheet, asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Corrugated iron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Asbetos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Reinforced brick cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Ceramic tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Iron and tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Tiles/slate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Mud tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Ceramic tiles, harvey (steel) tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Calamine/cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Asbestos, cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Zinc/cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Roofing shingles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Unburnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Burnt brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Loosely packed stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          Stone slabs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          Slate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V129" name="W_ELECTRC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Has electricity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ELECTRC (V119) indicates whether the household has electricity. Samples vary in how that information was collected. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V130" name="W_ELECTRCHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Dwelling has electricity (from hh record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ELECTRCHH (HV206) indicates whether the household has electricity. Samples vary in how that information was collected.

The information in ELECTRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V131" name="W_COOKFUEL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of fuel household uses for cooking
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COOKFUEL (HV226) reports the type of fuel the woman's household used for cooking.
Response categories vary across surveys; see Comparability.

The information in COOKFUEL is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Petroleum-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Gasoline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          LPG, natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          LPG (liquefied petroleum gas)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Bottled gas (butane or propane)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Biogas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Coal-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Coal, lignite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Coal, coke, lignite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Wood- or grass-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Firewood, straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Straw, shrub, grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Agricultural crop-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Crop residues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Maize or other crop waste
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Solar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          No food cooked in house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V132" name="W_KITCHEN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Household has separate room for kitchen
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[KITCHEN (HV242) indicates whether the household has a separate room used as a kitchen.

The information in KITCHEN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V133" name="W_COOKHOW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Whether food is cooked on open or closed heat source
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women in households where electricity or gas was not used for fuel, COOKHOW (HV239) indicates whether food was cooked on an open heat source (such as an open hire or open stove) or on a closed heat source (such as a closed stove with chimney).  

Cooking over an open fire produces indoor air pollution associated with lung diseases such as asthma, pneumonia, and chronic obstructive pulmonary disease.

The degree of detail in responses varies across surveys; see Comparability.

The information in COOKHOW is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Open heat source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Open fire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Open stove
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Open fire or stove without chimney/hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Open fire or stove with chimney/hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Closed heat source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Closed stove with chimney
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Stove, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V134" name="W_CHIMHOOD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH fire or stove has chimney or hood
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHIMHOOD (HV240) indicates whether households that cook with an open fire or stove have a chimney or hood for ventilation. 

The information in CHIMHOOD is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Neither chimney nor hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Chimney
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V135" name="W_COOKWHERE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Where cooking is usually done
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COOKWHERE (HV241) reports whether food for the household was cooked inside the dwelling unit, in a separate building, or outdoors.  

If cooking is done over an open fire, then household members' exposure to indoor air pollution (and associated risk of respiratory diseases) is greatest when cooking is done in the house, rather than in a separate building or outdoors.

The information in COOKWHERE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          In the house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          In a separate building
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Outdoors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V136" name="W_TOILETTYPE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of toilet facility
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TOILETTYPE (HV205) reports the household's type of toilet facility, with no facility coded "0."  Responses vary widely across surveys; see Comparability.

The information in TOILETTYPE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          FLUSH TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Unspecified type of flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Own flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1112
        </catValu>
        <labl>
          Outside residence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Shared flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1121
        </catValu>
        <labl>
          Public flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Modern flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Flush to piped sewer system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Flush to pipe connected to canal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Flush to pipe connected to ground water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1213
        </catValu>
        <labl>
          Flush, not to sewer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1214
        </catValu>
        <labl>
          Flush to septic tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Traditional with tank flush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Bucket flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1410
        </catValu>
        <labl>
          Flush to pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1420
        </catValu>
        <labl>
          Flush to somewhere else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1430
        </catValu>
        <labl>
          Flush, don't know where
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          NON-FLUSHING TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Composting toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Dry toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Ecosan toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PIT TOILET LATRINE
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Unspecified type of pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Own pit toilet or latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Shared pit toiletor latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Public pit toilet or latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Traditional pit toilet or latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Pit latrine without slab or open pit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Uncovered pit latrine, no slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Pit latrine with slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Pit latrine with washable slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Pit latrine with non-washable slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Ventilated improved pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3410
        </catValu>
        <labl>
          Covered pit latrine, no slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3420
        </catValu>
        <labl>
          Covered pit latrine with slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3430
        </catValu>
        <labl>
          Covered latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3440
        </catValu>
        <labl>
          Septic pit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3450
        </catValu>
        <labl>
          Latrine with manual flush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3460
        </catValu>
        <labl>
          Other improved system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          UNIMPROVED TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Bucket toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          River
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Hanging latrine over water source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V137" name="W_TOILETSHAREYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Household shares toilet facility
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TOILETSHAREYN (HV225) indicates whether the household has a toilet facility that is shared with at least one other household.  A "no" response (code "0") indicates the household has a toilet that is not shared; a "yes" response (code "1") indicates the household shares a toilet facility; "not in universe" (code "9") means the household has no toilet facility.

The information in TOILETSHAREYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V138" name="W_DRINKWTR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Major source of drinking water
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DRINKWTR (HV201) reports the household's main source of drinking water.  Responses vary widely across surveys; see Comparability.

The information in DRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PIPED WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Piped into own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Piped into own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Piped into own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Piped outside own residence/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Public tap/standpipe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Public tap from filtration plant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Public tap from stone pipes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Piped into neighbor's dwelling/yard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          WELL WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Unprotected/open well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Open well in own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Open well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Open well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Open public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Open well in neighbor's residence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Protected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Protected well in own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Protected well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Protected well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Protected well in neighbor's residence/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Protected public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Tube well or borehole
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2231
        </catValu>
        <labl>
          Borehole in yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2232
        </catValu>
        <labl>
          Public borehole
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Unspecified well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Unspecified well in residence/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Unspecified well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Unspecified well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Handpump in yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Unspecified public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Public shallow well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Public traditional well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Public handpump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Unspecified neighbor's well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Unspecified well by type
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2341
        </catValu>
        <labl>
          Well with pump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2342
        </catValu>
        <labl>
          Well without pump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          SURFACE WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Spring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Protected spring/surface water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Unprotected spring/surface water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          River/dam/lake/ponds/streams/canal/irrigation channel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          River, stream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Pond, lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          Dam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3240
        </catValu>
        <labl>
          Canal or river/canal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3250
        </catValu>
        <labl>
          Irrigation ditch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3260
        </catValu>
        <labl>
          Dugout pond
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Channeled by gravity flow scheme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RAINWATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Rainwater collected in tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          PURCHASED FROM SUPPLIER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Tanker truck
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Cart with small tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Water vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5310
        </catValu>
        <labl>
          Water vendor from unknown source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5320
        </catValu>
        <labl>
          Water vendor from protected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5330
        </catValu>
        <labl>
          Water vendor from unprotected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5340
        </catValu>
        <labl>
          Water vendor from pond/lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Bottled water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5410
        </catValu>
        <labl>
          Sachet water (in a bag)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5500
        </catValu>
        <labl>
          Community reverse osmosis plant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          OTHER SOURCE
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V139" name="W_WTRLOCATED" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH water source located in dwelling, plot, or elsewhere
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WTRLOCATED (HV235) indicates whether the main source of water for the household is located in the dwelling, in the household's yard or plot of land, or elsewhere. 

The information in WTRLOCATED is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Water from own dwelling or plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Water located in respondent's own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Water located in respondent's own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Water located elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          River
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Well outside plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other, elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V140" name="W_TIMETOWTRIND" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time to water source (from individual respondent record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMETOWTRIND (V115) reports the amount of time, in minutes, to get to the household's major source of water, top-coded at 360+ minutes. This information is taken from the individual woman's record.

The complementary variable TIMETOWTRHH (HV204) reports the same information, taken from the household record.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 (on premises)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
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        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          One day or longer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          On premises
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V141" name="W_TIMETOWTRHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time to reach water source and return, in minutes (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMETOWTRHH (HV204) reports the time in minutes it takes members of the household to get to their main source of water and return to their dwelling.  In IPUMS-DHS, this variable is top-coded at 360 minutes or more (6 hours or longer).

The information in TIMETOWTRHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
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        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          On premises
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V142" name="W_TREATWTRYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Household uses any method to treat drinking water
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TREATWTRYN (HV237) indicates whether the household used any treatment to make water safer to drink.

The information in TREATWTRYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V143" name="W_TRBLEACH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Adding bleach/chlorine
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRBLEACH (HV237B) indicates whether the household added bleach or chlorine to make water safer to drink.

The information in TRBLEACH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V144" name="W_TRBOIL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Boiling
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRBOIL(HV237A)  indicates whether the household boiled water to make it safer to drink.

The information in TRBOIL is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, most of the time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, some of the time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V145" name="W_TRCLOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Straining through cloth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRCLOTH (HV237C) indicates whether the household strained water through cloth to make the water safer to drink.

The information in TRCLOTH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V146" name="W_TRFILTER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Using water filters
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRFILTER (HV237D) indicates whether the household used a water filter to make water safer to drink.

The information in TRFILTER is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V147" name="W_TRSOLAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Solar disinfection
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRSOLAR (HV237E) indicates whether the household used solar disinfection to make water safer to drink.

The information in TRSOLAR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V148" name="W_TRSTAND" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Letting it stand
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRSTAND (HV237F) indicates whether the household let water stand to settle impurities, to make the water safer to drink.

The information in TRSTAND is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V149" name="W_TROTHER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Other methods
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TROTHER (HV237X) indicates whether the household used some "other" treatment to make water safer to drink. The meaning of other depends on the specific water treatment methods enumerated in a given survey.

The information in TROTHER is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V150" name="W_TRDK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Don't know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRDK (HV237Z) indicates whether the respondent did not know what treatment, if any, the household used to make water safer to drink.

The information in TRDK is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V151" name="W_WHOFETCHAGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age of household member who fetches water
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHOFETCHAGE (HV236) reports, in broad age and sex categories, the person who usually fetched water for households that used a water source not accessible in their own dwelling or yard.  Responses vary across samples; see Comparability.

The information in WHOFETCHAGE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Person age 18+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Adult woman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Adult woman with child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Adult man
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Person age 15-17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Female age 15-17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Male age 15-17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Person under age 15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Female child under 15 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Male child under 15 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Female and male child under 15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Other/not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Any household member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Water vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Vendor using animal transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Vendor using truck
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V152" name="W_HHPHONE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Household has telephone
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHPHONE (V153) indicates whether the household has a telephone. How the question was worded changed over time. See Comparability. The related variable MOBPHONE covers the household's access to a mobile phone, specifically.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V153" name="W_HHPHONEHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        House has telephone (household record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHPHONEHH (HV221) indicates whether any member of the household has a telephone (based on information from the household record).   

The information in HHPHONEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V154" name="W_MOBPHONE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has mobile phone
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MOBPHONE indicates whether the household had a mobile/cellular telephone.

The related variable HHPHONE indicates whether the household had a telephone, regardless of the type of phone, or had a non-mobile phone.

The information in MOBPHONE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V155" name="W_BIKE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has bicycle
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIKE (V123) indicates whether any member of the household has a bicycle.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V156" name="W_BIKEHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has bicycle (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIKEHH (HV210) indicates whether any member of the household has a bicycle. 

The information in BIKEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V157" name="W_CAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has car/truck
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CAR (V125) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V158" name="W_CARHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has car/truck (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CARHH (HV212) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability. 

The information in CARHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V159" name="W_MOTORCYCL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has motorcycle/scooter
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MOTORCYCL (V124) indicates whether any member of the household owns a motorcycle or scooter.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V160" name="W_MOTORCYCLHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has motorcycle/scooter (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MOTORCYCLHH (HV211) indicates whether any member of the household owns a motorcycle or scooter.

The information in MOTORCYCLHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V161" name="W_FRIDGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has refrigerator
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FRIDGE (V122) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or must be owned by the household. See comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V162" name="W_FRIDGEHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has refrigerator (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FRIDGEHH (HV209) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or owned by the household. See Comparability.

The information in FRIDGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V163" name="W_RADIO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has radio
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RADIO (V120) indicates whether the household has a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V164" name="W_RADIOHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has radio (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RADIOHH (HV207) indicates whether any member of the household owns a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.

The information in RADIOHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V165" name="W_TELEVISION" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has television
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TELEVISION (V121) indicates whether the household has a television. Some samples specified that the TV must be in working order. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V166" name="W_TVHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has television (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TVHH (HV208) indicates whether any member of the household has a television. Some samples specified that the TV must be in working order. See Comparability.

The information in TVHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V167" name="W_WATCHCLOCK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has watch or clock
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WATCHCLOCK indicates whether the household has access to a timepiece, either a watch or a clock. The related variable CLOCKONLY indicates whether the household has a clock. See Comparability.

The information in WATCHCLOCK is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V168" name="W_BED" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has bed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BED indicates whether the household had a bed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V169" name="W_SOFA" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has sofa
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SOFA indicates whether the household had a sofa or "sofa set."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V170" name="W_TABLECHARYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has table and chairs
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TABLECHARYN indicates whether the household has a table and chairs. 

The information in TABLECHARYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V171" name="W_PARALAMPYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has paraffin/kerosene lamp
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PARALAMPYN indicates whether the household has a lamp that uses paraffin (kerosene) as fuel. 

The information in PARALAMPYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V172" name="W_OPARALAMPYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has paraffin lamp other than koloboyi
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OPARALAMPYN indicates whether the household has some paraffin lamp other than a koloboyi.  The related variable PARALAMPYN also covers household possession of a paraffin lamp, including a koloboyi (for Malawi specifically).

The information in OPARALAMPYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V173" name="W_BANKACC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has bank account
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BANKACC (HV247) indicates whether any member of the household has a bank account.

The information in BANKACC is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V174" name="W_AGLANDYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH owns land for agriculture (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGLANDYN (HV244) indicates whether any member of the household owned (or had use of) agricultural land. Question wording varies across samples; see Comparability.

The information in AGLANDYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V175" name="W_DRAWNCART" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH has animal-drawn cart
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DRAWNCART indicates whether a household member owned an animal-drawn cart. Question wording varied across samples; see Comparability.

The information in DRAWNCART is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V176" name="W_LIVESTOCKYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH owns livestock
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LIVESTOCKYN (HV246) indicates whether the household owned any livestock, herds, other farm animals, or, in some surveys, poultry.  This question was frequently included as a filter, to determine whether the respondent should be asked more specific questions about the household's ownership of specific types of animals or poultry.

The information in LIVESTOCKYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V177" name="W_CATTLEYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH owns cattle (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CATTLEYN indicates whether household owned any cattle. In some cases, the question referred specifically to local or indigenous cattle; see Comparability.  The complementary variable CATTLENUM reports the number of cattle owned by the household.

The information in CATTLEYN is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V178" name="W_CATTLENUM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of cattle owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CATTLENUM reports the number of cattle owned by the household.  In some cases, the question referred specifically to local or indigenous cattle; see Comparability.  The complementary variable CATTLEYN indicates whether household owned any cattle.

The information in CATTLENUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V179" name="W_SHEEPYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH owns sheep (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SHEEPYN indicates whether the household owned sheep.  The complementary variable SHEEPNUM reports the number of sheep owned by the household.

The information in SHEEPYN is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V180" name="W_SHEEPNUM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of sheep owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SHEEPNUM reports the number of sheep owned by the household.  The complementary variable SHEEPYN indicates whether household owned any sheep.

The information in SHEEPNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V181" name="W_GOATYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH owns goats (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GOATYN indicates whether the household owned goats.  The complementary variable GOATNUM reports the number of goats owned by the household.

The information in GOATYN is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V182" name="W_GOATNUM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of goats owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GOATNUM reports the number of goats owned by the household.  The complementary variable GOATYN indicates whether household owned any goats.

The information in GOATNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V183" name="W_PIGYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH owns pigs (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PIGYN indicates whether the household owned any pigs. The complementary variable PIGNUM reports how many pigs the household owned.

The information in PIGYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V184" name="W_PIGNUM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of pigs owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PIGNUM reports the number of pigs owned by the household. The complementary variable PIGYN indicates whether the household owned any pigs.

The information in PIGNUM is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V185" name="W_OTHERANYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        HH owns animals of some other type (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OTHERANYN indicates whether the household owns any other type of animals or livestock. The meaning of "other" depends on the specific animals asked about in a given sample. 

The information in OTHERANYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V186" name="W_OTHERANNUM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of animals of some other type owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OTHERANNUM reports the number of "other" animals owned by the household. The meaning of "other" depends on the specific animals asked about in a given sample. The related variable OTHERANYN indicates whether the household has any "other" animals.

The information in OTHERANNUM is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
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      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
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        </catValu>
        <labl>
          57
        </labl>
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      <catgry>
        <catValu>
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        </catValu>
        <labl>
          58
        </labl>
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      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
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      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
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        <catValu>
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          66
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          67
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        <labl>
          67
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        <catValu>
          68
        </catValu>
        <labl>
          68
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        <catValu>
          69
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          69
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        <catValu>
          70
        </catValu>
        <labl>
          70
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        <catValu>
          71
        </catValu>
        <labl>
          71
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        <catValu>
          72
        </catValu>
        <labl>
          72
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          73
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        <labl>
          73
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        <catValu>
          74
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        <labl>
          74
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        <catValu>
          75
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        <labl>
          75
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        <catValu>
          76
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        <labl>
          76
        </labl>
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      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
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      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          More than 95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V187" name="W_CHICKNUM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of chickens owned by HH (topcoded)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHICKNUM reports the number of chickens owned by the household. In some cases, the question referred to other domestic fowl, as well; see Comparability.  The complementary variable CHICKYN indicates whether household owned any chickens.

The information in CHICKNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
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        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
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          10
        </catValu>
        <labl>
          10
        </labl>
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          11
        </catValu>
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          11
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          12
        </catValu>
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          12
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          13
        </catValu>
        <labl>
          13
        </labl>
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        <catValu>
          14
        </catValu>
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          14
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        <catValu>
          15
        </catValu>
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          15
        </labl>
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        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
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        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
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        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
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          21
        </labl>
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          22
        </catValu>
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          22
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          23
        </catValu>
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          23
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          24
        </catValu>
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          24
        </labl>
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          25
        </catValu>
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          25
        </labl>
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          26
        </catValu>
        <labl>
          26
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        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
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      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
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      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
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      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
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      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
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      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
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        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
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      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
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        <catValu>
          39
        </catValu>
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          39
        </labl>
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          40
        </catValu>
        <labl>
          40
        </labl>
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          41
        </catValu>
        <labl>
          41
        </labl>
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        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V188" name="W_SALTBRIDGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Iodized salt in household (bridging variable)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SALTBRIDGE serves as a bridging variable between two approaches to collecting information on the presence of iodized salt in the household. Initially, respondents were asked, "What type of salt is usually used for cooking in your household?" Respondents were also asked to show their salt package to the interviewer.

Beginning with Phase 4 of the standard DHS questionnaire, respondents were asked to provide the interviewer with a teaspoon of cooking salt, which the interviewer then tested. Iodine testing methods varied across phases and countries. 

SALTBRIDGE combines information from the first approach of asking about cooking salt (in SALTIODIZE (HV222)) and the second approach of testing the cooking salt for iodine (in SALTEST3 (HV234)).

The information in SALTBRIDGE is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT (V135) variable (with visitors coded "2").

See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Iodized salt in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Packaged salt - iodized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Non-iodized salt in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Packaged salt - noniodized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Salt not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Local salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Loose salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Salt for animals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Natron in block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Packaged salt - other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Other, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Doesn't cook
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing/no salt available
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nutrition Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V189" name="W_SALTRESULT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Results of salt iodine test (from individual record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SALTRESULT (V166) reports the results of the salt iodine test, with information recorded on the individual person's record.

The following related variables, taken from the household record, report the results of the salt iodine test and are separated according to the type of test:

SALTEST1 (HV234) reports the iodine level in the household's cooking salt, using grouped values of 0 PPM, 7 PPM, 15 PPM or less, 15PPM or more, and 30 PPM.
SALTEST2 reports the iodine level in the household's cooking salt, using grouped values of 0 PPM, 1-25 PPM, 26-50 PPM, 51-75 PPM, and 76-100 PPM.
SALTEST3 (HV234A) indicates whether the household's cooking salt tested positive for iodine.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 ppm (No iodine)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          1-25 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          7 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          LT 15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          LE 15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          GE 15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          26-50 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          30 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          51-75 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          1-75 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          76-100 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Salt not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          No salt in the household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nutrition Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V190" name="W_SALTEST1" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Iodine level in HH salt, first grouping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SALTEST1 (HV234) reports the iodine level in the household's cooking salt, using grouped values. The levels are grouped based on PPM (parts per million). 

Universal salt iodization is recommended (by the World Health Organization and UNICEF) to prevent and correct iodine deficiency disorders (including goiter, hypothyroidism, deaf-mutism, mental retardation, dwarfism, stillbirth, and congenital abnormalities). However, unnecessarily high levels of iodine in salt may lead to occasional cases of hyperthyroidism.

The information in SALTEST1 is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.

The related variables SALTEST2 and SALTEST3 (HV234A) also report iodine levels in cooking salt, but with different groupings.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          7 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Less than 15 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          15 PPM or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          30 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Salt not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          No salt in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nutrition Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V191" name="W_BEDNETHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Household has bednet for sleeping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETHH (HV227) indicates whether the household has at least one mosquito bed net for use while household members are sleeping. 

The information in BEDNETHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V192" name="W_BEDNETNUM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of mosquito nets owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETNUM (HML1) reports how many mosquito nets were owned by the household. 
Responses were topcoded at 7+ bednets. Because of topcoding, the number of reported bednets cannot be meaningfully compared to the number of household members.

The information in BEDNETNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V193" name="W_BEDNETKIDLT5" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Children under 5 slept under bednet last night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETKIDLT5 (HV228) indicates whether any, some, or all of the children in the household under age five slept under a bed net the previous night.


Apart from universe differences, BEDNETKIDLT5 (HV228) has no comparability problems.

Comparability - Standard DHS

BEDNETKIDLT5 (HV228) is included in Phase IV forward of the standard DHS questionnaire.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          All children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Some children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          No net in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V194" name="W_BEDNETKIDS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of children under bednet previous night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDNETKIDS (HML2) reports the number of children in the household who slept under a mosquito net the previous night.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V195" name="W_BEDNETWINF" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of mosquito nets with specific information
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDNETWINF (HML1A) reports the number of mosquito nets with specific information the household has. Specific information can be related to the type (permanent/long-lasting insecticide-treated or pretreated) or the brand of the net.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V196" name="W_CURRWORK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Currently working
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CURRWORK (V714) indicates whether the woman is currently working at a job or business. To distinguish employment from household labor, many surveys included a preface such as the following: "As you know, some women take up jobs for which they are paid in cash or in kind. Others sell things, have a small business or work on the family farm or in the family business." Women who have worked outside of their own housework in the last 12 months and been paid in cash, cash and in-kind, or only in-kind payments are included as working, although the survey questions vary in who receives an affirmative response. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, prompted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V197" name="W_JOBABSENT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman has job from which she was absent in past week
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who did not work in the past 7 days, JOBABSENT (V714A) indicates whether the woman had a job or business from which she was temporarily absent, due to leave, illness, vacation, maternity leave, or other reasons.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V198" name="W_WKCURRJOB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's occupation
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WKCURRJOB (V717) reports the occupation of the respondent in somewhat standardized categories. The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples. IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broad job categories) without loss of detailed information (preserved in the second digit).

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not currently working
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Professional, technical, or managerial worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Clerical or Sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Clerical worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sales worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Self-employed agricultural worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Agricultural employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Household, domestic, and services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Household and domestic worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Services worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Skilled and unskilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Skilled manual worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Unskilled manual worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V199" name="W_WHOWORKFOR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Whom the respondent works for
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WHOWORKFOR (V719) indicates whether the respondent works for a family member, for someone else, or is self-employed.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Works for self
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Works for someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          For family member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          For someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Works for self and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V200" name="W_WKWORKLASTYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Respondent worked recently
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKWORKLASTYR (V731) indicates whether the respondent worked recently (i.e., was currently working, was on leave from a job in the past 7 days, or worked in the past year).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Worked in the past year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Currently working
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Has a job, but on leave last 7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V201" name="W_WKEMPLOYWHEN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Respondent works all year, seasonally, or occasionally
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKEMPLOYWHEN (V732) indicates whether the woman works throughout the year, seasonally, or occasionally.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          All year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Less than all year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Most of the year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Part of the year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Seasonally
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Occasionally
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Temporary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V202" name="W_WKTYPELAND" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of land where respondent works
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKTYPELAND (V740) reports the type of land where the respondent has done agricultural work (currently or in the last 12 months).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Own land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Family land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Someone else's land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Rented land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other responses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Public land/govt allocation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Communal land/shifting cultivation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Sharecropper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Other, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V203" name="W_WKEARNTYPE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of earnings for respondent's work
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKEARNTYPE (V741) reports the type of earnings for the respondent's work.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not paid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Paid in cash only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Paid in cash and in kind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Paid in kind only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V204" name="W_HUSJOB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Partner's occupation
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HUSJOB (V705) reports the occupation of the woman's husband/partner in somewhat standardized categories.  The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples.  IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broader job categories) without loss of detailed information (preserved in the second digit).  

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Did not work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Not working, student or applicant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Prof., Tech., Manag.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Clerical or Sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Clerical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Agricultural, breeding, fishing, forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Agriculture, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Agriculture, employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Household, domestic, and services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Household and domestic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled and unskilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Skilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Unskilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V205" name="W_WKEARNSMORE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's earnings relative to husband/partner's earnings
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKEARNSMORE (V746) indicates whether the woman earns more money, less money, or about the same amount of money as her husband/partner.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          More than him
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Less than him
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner has no earnings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V206" name="W_WEALTHQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Household wealth index in quintiles
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WEALTHQ (V190) refers to the relative wealth of the household where the woman lives, divided into quintiles from the poorest (code 1) to the richest (code 5).  The wealth index is defined in the DHS Recode Manuals as follows:


The wealth index is a composite measure of a household's cumulative living standard. The wealth index is calculated using easy-to-use data on a household's ownership of selected assets, such as televisions and bicycles; materials used for housing construction; and types of water access and sanitation facilities.  



Generated with a statistical procedure known as principal components analysis, the wealth index places individual households on a continuous scale of relative wealth. DHS separates all interviewed households into five quintiles of wealth.


For additional information about the calculation and meaning of the wealth index, users should consult the summary information about the wealth index on The DHS Program website here [URL omitted from DDI.] and/or the DHS Comparative Report on "The DHS Wealth Index" here [URL omitted from DDI.].

The complementary variable WEALTHS reports the wealth index factor score for the woman's household in a specific sample.  WEALTHQ and WEALTHS are included on the woman's record for Phase 5 forward only.  IPUMS-DHS has made available these variables for Phase 2 forward, by linking the wealth index files to the woman's individual recode files.

The variables used to calculate wealth index quintiles and the level of wealth implied by a specific ranking are sample-specific.  See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Poorest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Poorer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Middle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Richer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Richest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Wealth index Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V207" name="W_WEALTHS" files="F1" dcml="0" intrvl="contin">
      <labl>
        Wealth index factor score (5 decimals)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WEALTHS (V191) refers to the household's wealth index value generated by the product of standardized scores (z-scores) and factor coefficient scores (factor loadings) of wealth indicators. Most researchers will want to use instead the complementary variable WEALTHQ (V190), which reports quintile ranking (from poorest to richest) of the woman's household, in terms of wealth score, for a given sample. 

For further information about the calculation and meaning of the wealth index, see the description of WEALTHQ, the summary information about the wealth index on the DHS Program website here [URL omitted from DDI.] and/or the DHS Comparative Report on "The DHS Wealth Index" here [URL omitted from DDI.].

The variables used to calculate wealth index scores are sample-specific. See Comparability.]]>
      </txt>
      <codInstr>
        WEALTHS (V191) is a 12-digit numeric variable.
      </codInstr>
      <concept vocab="IPUMS">
        Wealth index Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V208" name="W_WHOPROP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Who received most of late husband's property
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently widowed, WHOPROP (V539) reports who received most of their late husband's assets and valuables. Women who were not the main beneficiary were asked a follow-up question about whether they received any of the late husband's assets or valuables; see ANYPROP.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other wife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Spouse's children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Spouse's family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Respondent's children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Unrelated person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Equal share with others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          No property
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V209" name="W_NOPROPLEGAL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Legal support after not receiving late husband's property
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NOPROPLEGAL indicates whether an ever-widowed woman received legal support or assistance after she did not receive most of her late husband's land and possessions.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V210" name="W_FEMOWNHOUSE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman owns house alone or jointly
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FEMOWNHOUSE (V745A) indicates whether the woman owns a house alone or jointly with someone else.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Does not own
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Owns alone only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Owns jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Owns jointly only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Owns both alone and jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V211" name="W_FEMOWNLAND" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman owns land alone or jointly
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FEMOWNLAND (V745B) indicates whether the woman owns land alone or jointly with someone else.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Does not own land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Owns alone only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Owns jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Owns jointly only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Owns both alone and jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V212" name="W_LIT2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Literacy, based on reading passage
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LIT2 (V155) indicates whether the woman could read. This variable is available beginning with Phase 4 of the DHS.

Persons with less than secondary school education were asked to demonstrate their literacy level by reading aloud a sentence on a card and were classified as "cannot read at all," "able to read only parts of sentence," and "able to read whole sentence."  As with LIT1 (V108), those with secondary or higher schooling were presumed to have attained the highest literacy level.       

For Phases 1-3 of the DHS, information on literacy was collected using a different approach, by simply asking whether the person could read (LIT1). See LITBRIG for information about using the data on literacy across all phases of the DHS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Cannot read at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Reads
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Able to read only part of sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Able to read whole sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not ascertained (blind, diff. language)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          No card with required language
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Blind or visually impaired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V213" name="W_LITBRIG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Literacy bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LITBRIG serves as a bridging variable between two approaches to collecting information on literacy.  Initially, respondents were asked, "Can you read a letter or newspaper easily, with difficulty, or not at all?"  In many countries, persons with secondary or higher levels of schooling were presumed to "read easily," but coding criteria varied across countries. 

Beginning with Phase 4 of the DHS, persons with less than secondary school education were asked to demonstrate their literacy level by reading aloud a sentence on a card and were classified as "cannot read at all," "able to read only parts of sentence," and "able to read whole sentence."  As before, those with secondary or higher schooling were presumed to have attained the highest literacy level.       

LITBRIG combines information from the first approach of asking about literacy (in LIT1 [V108]) and the second approach of testing literacy based on reading a sentence aloud (in LIT2 [V155]).  

See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, reads
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Reads easily/whole sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Reads with difficulty/part of sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          No, cannot read
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Not ascertained (blind or diff. language)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          No card with required language
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Blind or visually impaired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V214" name="W_LITPROGRAMEV" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Respondent ever attended literacy program
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LITPROGRAMEV (V156) indicates whether the respondent ever participated in a literacy program or any other program that involves learning to read and write (not including primary school).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V215" name="W_EDUCLVL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Highest educational level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who ever went to school, EDUCLVL (V106) reports the highest level of school they attended. Countries vary in the gradations of their school systems, but EDUCLVL is a standardized variable reporting level of education in four broad categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V216" name="W_YRSCHL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Highest year of education in level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who ever attended school, YRSCHL (V107) reports the number of years of education completed at the highest level of schooling achieved (primary, secondary, or higher), as reported in EDUCLVL (V106). See Comparability.

For the woman's total years of education, see EDYRTOTAL (V133).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V217" name="W_EDYRTOTAL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total years education
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDYRTOTAL (V133) reports the woman's education level in single years. This variable is constructed from responses to EDUCLVL (V106) and YRSCHL (V107) as follows:

If EDUCLVL = "No education," EDYRTOTAL = "0"
If EDUCLVL = "Primary," EDYRTOTAL = YRSCHL
If EDUCLVL = "Secondary," EDYRTOTAL = YRSCHL + x
If EDUCLVL = "Higher," EDYRTOTAL = YRSCHL + y
If EDUCLVL = "Missing," EDYRTOTAL = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V218" name="W_EDACHIEVER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Summary educational achievement
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDACHIEVER (V149) is a summary variable that reports the woman's highest level of education in broad categories. Countries vary in the gradations of their school systems, but EDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher.

EDACHIEVER is constructed from information contained in EDUCLVL (V106) and YRSCHL (V107).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Incomplete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Complete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Incomplete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Complete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V219" name="W_HUSEDLVL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Partner's educational level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had ever been married or lived with a man, HUSEDLVL (V701) reports the highest level of school attended by their most recent husband/partner. Countries vary in the gradations of their school systems, but HUSEDLVL is a standardized variable reporting the level of education in four categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V220" name="W_HUSEDYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Partner's highest year of education in level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women whose most recent husband/partner had ever attended school, HUSEDYR (V702) reports the number of years of schooling completed by their husband/partner at the educational level (primary, secondary, or higher) reported in HUSEDLVL (V701).

For the husband's total years of education, see HUSEDYRS (V715).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V221" name="W_HUSEDYRS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Partner's education in total years schooling
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had ever been married or lived with a man, HUSEDYRS (V715) reports the education of the woman's most recent husband/partner in single years. This variable is constructed from responses to HUSEDLVL (V701) and HUSEDYR (V702) as follows:

If HUSEDLVL = "No education," HUSEDYRS = "0"
If HUSEDLVL = "Primary," HUSEDYRS = HUSEDYR 
If HUSEDLVL = "Secondary," HUSEDYRS = HUSEDYR + x
If HUSEDLVL = "Higher," HUSEDYRS = HUSEDYR + y
If HUSEDLVL = "Missing," HUSEDYRS = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V222" name="W_HUSEDACHIEVER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Husband's summary educational achievement
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HUSEDACHIEVER (V729) is a summary variable that reports the highest level of education in broad categories for the woman's husband/partner. Countries vary in the gradations of their school systems, but HUSEDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher. 

HUSEDACHIEVER is constructed from information contained in the HUSEDLVL (V701) and HUSEDYR (V702) variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Incomplete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Complete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Incomplete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Complete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V223" name="W_NEWSFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency of reading newspaper or magazine
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NEWSFQ (V157) reports how often the woman usually reads a newspaper or magazine (not at all, less than once a week, once a week or more often, or almost every day). 

For a potentially comparable variable asking whether the woman reads the newspaper or a magazine at least once a week, see NEWSWK (V109). For a variable bridging NEWSFQ and NEWSWK, see NEWSBRIG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Once a week or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V224" name="W_NEWSBRIG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reads newspaper: Bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NEWSBRIG serves as a bridging variable between two approaches to collecting information on exposure to newspapers and magazines.  For DHS Phases 1-3, respondents were asked whether they read a newspaper or magazine at least once a week (NEWSWK (V109)).  Beginning in DHS Phase 4, respondents were asked how often they read newspapers or magazines (NEWSFQ (V157)). 

NEWSBRIG uses composite coding to combine data from these two approaches. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No, not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V225" name="W_TVFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency of watching television
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TVFQ (V159) reports how often the woman usually watches television (not at all, less than once a week, at least once a week, or almost every day).

For a comparable variable asking whether the woman watches television at least once a week, see TVWK (V110). For a variable bridging TVFQ and TVWK (V110), see TVBRIG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Once a week or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V226" name="W_TVBRIG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Watches television: Bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TVBRIG serves as a bridging variable between two approaches to collecting information on exposure to television.  For DHS Phases 1-3, respondents were asked whether they watch television at least once a week (TVWK (V110)).  Beginning in DHS Phase 4, respondents were asked how often they watch television (TVFQ (V159)). 

TVBRIG uses composite coding to combine data from these two approaches; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No, not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V227" name="W_RADIOFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency of listening to radio
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RADIOFQ (V158) reports how often the woman usually listens to the radio (not at all, less than once a week, at least once a week, or almost every day).

For a comparable variable that asks about whether the woman listens to the radio at least once a week, see RADIOWK (V112). For a variable bridging RADIOFQ and RADIOWK (V112), see RADIOBRIG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Once a week or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V228" name="W_RADIOBRIG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Listens to radio: Bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RADIOBRIG serves as a bridging variable between two approaches to collecting information on exposure to the radio.  For DHS Phases 1-3, respondents were asked whether they listen to the radio at least once a week (RADIOWK (V112)).  Beginning in DHS Phase 4, respondents were asked how often they listen to the radio (RADIOFQ (V158)). 

RADIOBRIG uses composite coding to combine data from these two approaches; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V229" name="W_DECBIGHH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Final say on making large household purchases
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECBIGHH (V743B) indicates who in the woman's household usually makes decisions regarding large household purchases.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Other senior male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Other senior female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Family elders/relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V230" name="W_DECDAILYPUR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Final say on household purchases for daily needs
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECDAILYPUR (V743C) indicates who in the woman's household usually makes decisions regarding household purchases for daily needs.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V231" name="W_DECFAMVISIT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Final say on visits to family or relatives
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECFAMVISIT (V743D) indicates who in the woman's household usually makes decisions regarding (the woman's) visits to family or relatives.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Family elders/relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V232" name="W_DECFEMEARN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Final say on spending woman's earnings
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have worked in the last 12 months and were paid in cash or in cash and in kind in the last 12 months, DECFEMEARN (V739) indicates who in the woman's household usually makes decisions regarding how the income she earns is spent.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mother or father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Aunt or uncle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Family elders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Someone else, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other or not applciable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V233" name="W_DECHUSEARN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Final say on spending husband's earnings
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently married or living with a man, DECHUSEARN (V743F) indicates who in the woman's household usually makes decisions regarding how the income her husband or partner earns is spent.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Family elders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Someone else, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Husband/partner has no earnings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V234" name="W_DECFEMHCARE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Final say on woman's health care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECFEMHCARE (V743A) indicates who in the woman's household usually makes decisions regarding the woman's own healthcare.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other/not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Family elders/relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V235" name="W_FERTPREF" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Fertility preferences
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For countries with low contraceptive prevalence, FERTPREF (V602) reports responses to the question, "Would you like to have a (another) child or would you prefer not to have any (more) children"?  The standard response categories are "have another," "no more/none," "says she can't get pregnant," and "undecided or don't know."   

In Phase I, FERTPREF (V602), was constructed from two questions in countries with high contraceptive prevalence (Model "A" questionnaires). Women who responded that they want another child, but when asked when they would like the next child, respond that they cannot get pregnant, are classified in the "declared infecund category," and not in the "Wants another" category. 

Some samples also include the response "up to God." More detailed responses under the general category "says she can't get pregnant" are sometimes available. In IPUMS-DHS, all responses in the general category of "not at risk of pregnancy" share a common first digit of 5, while the second digit distinguishes between the specific reasons.  In some countries, women who never had sexual intercourse (coded as "53" in IPUMS-DHS) were not asked the questions relating to their desire for future children.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Have another
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Undecided
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          No more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Not at risk of pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Sterilized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Declared infecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V236" name="W_UNMETNEED" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Unmet need for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[UNMETNEED (V624) is a constructed variable that reports a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The following describes the constructed categories in more detail:

Unmet need for spacing includes pregnant women whose pregnancy was mistimed, postpartum amenorrheic women whose last birth was mistimed, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and say they want to wait two or more years for their next birth, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Unmet need for limiting includes pregnant women whose pregnancy was unwanted, postpartum amenorrheic women whose last birth was unwanted, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and who want no more children. 
Met need for spacing includes women who are using some method of family planning and say they want to have another child, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Met need for limiting includes women who are using family planning and who want no more children. 

Note that the specific methods (modern or traditional) are not taken into account here.

Met need describes women who have no need for contraceptive methods, either because they desire a child soon (within the next two years) or because they are menopausal or infecund. 

In high contraceptive prevalence countries (Model "A" countries), pregnant and postpartum amenorrheic women whose pregnancy was the result of a contraceptive failure are not included in the category of unmet need, but they are categorized as spacing failures or limiting failures. In low contraceptive prevalence countries (Model "B" countries), no such distinction is made, since information was not collected on contraceptive failure. Infecund women are also excluded from the unmet need categories.


The  "Online Guide to DHS Statistics" provides the following definitions:
  Fecundity:  A woman is assumed to be fecund unless she declares that she is infecund, had a hysterectomy, or is menopausic.  Women who are neither pregnant nor postpartum amenorrheic but who have not menstruated for six or more months, and married women who have not used contraception in the past five years but have not had a birth and are not pregnant, are also considered infecund.
 Failure to Space:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say they wanted the current pregnancy later.
 Failure to Limit:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say that they did not want another child before they became pregnant.

Excluded from the unmet need category are women who became pregnant while using a method (these women are in need of a better method of contraception).

The infecund or menopausal category on the UNMETNEED (V624) variable contains fewer cases than the EXPOSURE1 variable, because women who are categorized as infecund or menopausal, but are currently using a contraceptive method, are recorded in the two "met need" categories in UNMETNEED.


UNMETNEED (V624) incorporates responses to the following variables:

 [EXPOSURE1/V623], which reports the woman's exposure to the risk of pregnancy, defined as pregnant, postpartum amenorrheic, menopausal or infecund, and fecund. 
 [ V225], which reports whether a current pregnancy was wanted then, later or not at all (for women who were pregnant at the time of interview). 
 [KIDDESIRE/V605] ,which reports whether the woman wants more children and when she would like them.
 [FPMETHNOW/V312] which reports the woman's current use of contraception. 

Users are also encouraged to see details of this variable provided in the "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Has unmet need for FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unmet need to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Unmet need to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Now using FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Using to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Using to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Had FP failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Spacing failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Limiting failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Future need for FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          No sex, want to wait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Not at risk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Infecund or menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Not in union, not sexually active
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          No unmet need
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Desire birth in less than 2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V237" name="W_UNMETNEED2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Unmet need for FP (2nd def)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[UNMETNEED2 (V626) is a constructed variable that indicates a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  UNMETNEED2 is similar to UNMETNEED, but UNMETNEED2 differently categorizes women who are infecund or menopausal but are currently using a contraceptive method. 

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of UNMETNEED2 uses a definition of fecundity based on exposure status as reported in EXPOSURE2. UNMETNEED, by contrast, uses a definition of exposure status as reported in EXPOSURE1. See the descriptions of these two variables for discussion of their differences.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Has unmet need for FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unmet need to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Unmet need to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Now using FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Using to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Using to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Family limitation failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Spacing failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Limiting failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          No unmet need
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Desire birth in less than 2 yrs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Not at risk for pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Infecund, menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          No sex, want to wait/not married and no sex in last 30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V238" name="W_KIDDESIRE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Desire for more children
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[KIDDESIRE (V605) is a constructed variable that distinguishes between women who want another child soon (in less than two years), who want another child later (in 2+ years), who want no more children, and who aren't sure (about timing or about the number of children desired).  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of this variable has changed across phases of the DHS and varies across countries (only sometimes distinguishing between groups of women not at risk of pregnancy due to sterilization, infecundity, or virginity).  To maximize comparability across samples, IPUMS-DHS employs composite coding.  Women who want more children share a common first digit of 1, women not at risk of pregnancy share a common first digit of 6, and detail present in only some samples is specified in the code's second digit.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Wants more children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Wants within 2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Wants after 2+ years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Wants, unsure timing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Undecided
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Wants no more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Fatalistic response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Not at risk of pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Sterilized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Declared infecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V239" name="W_FPLCHDESIRE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Wanted last child
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPLCHDESIRE (V367) reports whether the woman's last born child was wanted at the time she got pregnant, was wanted but at a later time, or was not wanted at all. The cutoff point for when the woman's last child was born varies across samples; see Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Wanted last child then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wanted last child later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Wanted no more children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V240" name="W_PGDESIRE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently pregnant, PGDESIRE (V225) reports whether, at the time of becoming pregnant, the woman wanted her pregnancy then, later, or not at all.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/Not sure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V241" name="W_IDEALKID" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[IDEALKID (V613) reports the ideal total number of children the woman would have liked to have in her whole life, regardless of her actual childbearing. The information is collected through hypothetical questions such as, "If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?" (for women with living children) or "If you could choose exactly the number of children to have in your whole life, how many would that be?" (for women without living children).

If the woman responded with a range of values, IDEALKID reports the midpoint between those values. According to the DHS Recode Manuals, "If the midpoint is not an exact number then the number is rounded up in half the cases and rounded down for the other half." The questionnaires included space for non-numeric "other" responses, such as "Up to God."

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Up to God/As Allah wills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          As many as can care for
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Doesn't want children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V242" name="W_IDEALKIDGRP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of children (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Like IDEALKID, IDEALKIDGRP (V614) reports the total number of children the woman would hypothetically like to have in her whole life, regardless of her actual childbearing, but top-codes numeric responses at 6+ children and codes non-numeric responses as 7.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          [no label]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V243" name="W_IDEALBOYS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of boy children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Based on a follow-up question to IDEALKID (V613), which collects information about the ideal number of children the woman would hypothetically want to have in her whole life, IDEALBOYS (V627) reports how many of these children would ideally be boys.

Numeric responses to IDEALBOYS (V627), IDEALGIRLS (V628), and IDEALBOTH  (V629) should sum to the total number of children in IDEALKID (V613).  Non-numeric responses (such as "up to God") are allowed for each of these variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Up to God/As Allah wills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          No sex preference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V244" name="W_IDEALGIRLS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of girl children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Based on a follow-up question to IDEALKID (V613), which collects information about the ideal number of children the woman would hypothetically want to have in her whole life, IDEALGIRLS reports how many of these children would ideally be girls.

Numeric responses to IDEALGIRLS (V628), IDEALBOYS (V627), and IDEALBOTH (V629) should sum to the total number of children in IDEALKID (V613).  Non-numeric responses (such as "up to God") are allowed for each of these variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          God's decision/Allah's will
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          No sex preference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V245" name="W_IDEALBOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of children of either sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Based on a follow-up question to IDEALKID (V613), which collects information about the ideal number of children the woman would hypothetically want to have in her whole life, IDEALBOTH (V629) reports the ideal number of children of either sex (i.e., with no gender preference).

Numeric responses to IDEALGIRLS (V628), IDEALBOYS (V627), and IDEALBOTH (V629) should sum to the total number of children in IDEALKID.  Non-numeric responses (such as "up to God") are allowed for each of these variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Up to God/As Allah wills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V246" name="W_IDEALBTHFUT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ideal time before future birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDEALBTHFUT (V616) reports how long the woman would like to wait before the birth of a/another child.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Months, unspecified number
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35+ years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, unspecified number
        </labl>
      </catgry>
      <catgry>
        <catValu>
          989
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          After finishing school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          After marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          When husband returns
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          After breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          At any time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Soon/now
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V247" name="W_PREFTIMECH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Preferred waiting time for birth of a(nother) child
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who want to have a/another child, PREFTIMECH (V603) reports the amount of time, in months or years, they would like to wait before the birth of a/another child (top-coded at 20 years). The complementary variable PREFTIMECH (V604) reports responses to the same question, but in terms of years only, top-coded at 6+ years. 

PREFTIMECH includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples, and the way this variable was asked and calculated also changed over time; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than one month (want now)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Months, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Less than one year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 years or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          987
        </catValu>
        <labl>
          After weaning
        </labl>
      </catgry>
      <catgry>
        <catValu>
          989
        </catValu>
        <labl>
          After finishing school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          When spouse returns
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          After marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Any time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Soon or immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Other, non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V248" name="W_PREFTIMECHGP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Preferred waiting time for birth of a(nother) child (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who want to have a/another child, PREFTIMECHGP (V604) reports the amount of time, in years, they would like to wait before the birth of a/another child, top-coded at 6+ years.  

PREFTIMECHGP includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples; see Comparability. 

The related variable PREFTIMECH presents the same information in greater detail, in terms of months or years, top-coded at 20 years.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 or more years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V249" name="W_FPDECIDER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Decision-maker for using FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women using family planning, FPDECIDER (V632) reports who decided on the use of contraception (mainly the woman, mainly her partner, joint decision, or someone else).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Mainly husband, partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mainly respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Joint decision
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V250" name="W_HUSFERTPREF" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Husband's desire for children
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HUSFERTPREF (V621) reports whether the woman believes her partner wants the same number of children, more children, or fewer children than she wants.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Both want same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Husband wants more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Husband wants fewer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Both provided non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V251" name="W_FPHUSKNOUS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Husband knows respondent is using FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPHUSKNOUS (V634) indicates whether the woman's husband or partner knows that she is using a method of family planning.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V252" name="W_EXPOSURE1" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Fecund, pregnant, amenorrheic, or infecund
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EXPOSURE1 (V623) is a constructed variable that draws upon responses to several questions to differentiate between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

According to the DHS Recode Manuals, these categories are actualized as follows:

Pregnant women
Postpartum amenorrheic women are those whose period has not returned since the last birth in the three/five years preceding the survey.
Women are defined as being menopausal if they are not pregnant and not postpartum amenorrheic, are not currently using a contraceptive method, and have not had a period in the six months preceding the survey or report they are in menopause.
Women are defined as being infecund if they are not menopausal and not postpartum amenorrheic and not pregnant, have had no birth in the five years preceding the survey, and either (Model "A" countries) have been continuously married and have not used contraception in the five years preceding the survey, or (Model "B" countries) have been married one time and first married five or more years before the survey and have never used contraception.
Fecund women are all women not included in the preceding categories.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Fecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Amenorrheic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Infecund, menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V253" name="W_EXPOSURE2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Fecund, pregnant, amenorrheic, or infecund (2nd def)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Like EXPOSURE1, EXPOSURE2 (V625) is a constructed variable that draws upon responses to several questions to distinguish between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women. EXPOSURE2 uses a more liberal definition of infecundity than EXPOSURE1, however.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The DHS Recode Manuals explain the differences between these two variables as follows:

For Model "B" countries, it is only possible to say that a woman had been continuously married throughout the preceding five years if she was in her first union. This definition has been relaxed in V625 [EXPOSURE2], such that the respondent need only have been married at least five years ago, and not continuously married throughout the last five years. For Model "A" countries, there is no change to this part of the definition.

[For EXPOSURE2] Two additional variables have been used to declare a woman infecund. If the respondent said that she cannot get pregnant when asked about preferences for additional children, or if she reported that she was menopausal or had a hysterectomy when giving the reason she was not currently using a contraceptive method, the respondent is coded as infecund.

Model A countries and Model B countries are defined according to whether the country based its questionnaire on the Model A or Model B standard DHS questionnaire for DHS phases one through four. In general, the Model A questionnaire was designed for use in countries with high contraceptive prevalence. Nonetheless, countries with relatively low contraceptive prevalence sometimes modeled their own questionnaire on the Model A standard questionnaire. This was the case, for example, for the Kenyan samples for 1998 and 2003 and the Malawi samples for 2000 and 2004.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Fecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Amenorrheic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Infecund, menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V254" name="W_FPKNOTYP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know any type of FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOTYP (V301) is a summary (recoded) variable indicating whether the woman knew any family planning method and, if so, whether she knew a modern method or only a traditional or folkloric method.  

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception.  

Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence.  Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet) that vary across samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Knows no method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Knows only traditional or folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Knows only folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Knows only traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Knows modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V255" name="W_FPKNOPILL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about Pill for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOPILL (V304_01) indicates whether the woman knew about the Pill as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V256" name="W_FPKNOIUD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about IUD for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOIUD (V304_02) indicates whether the woman knew about the IUD (intra-uterine device) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probe questions, an IUD was often described as "a loop or coil placed inside them by a doctor or a nurse."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V257" name="W_FPKNOINJ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about injectable FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOINJ (V304_03) indicates whether the woman knew about injectables as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. For the probe question, injectables were typically defined as "an injection by a doctor or nurse, which stops them from becoming pregnant for several months."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V258" name="W_FPKNODIA" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about diaphragm for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNODIA (V304_04) indicates whether the woman knew about the diaphragm as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V259" name="W_FPKNOCON" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOCON (V304_05) indicates whether the woman knew about male condoms as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V260" name="W_FPKNOFST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about female sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOFST (V304_06) indicates whether the woman knew about female sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V261" name="W_FPKNOMST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about male sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOMST (V304_07) indicates whether the woman knew about male sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V262" name="W_FPKNOFC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about female condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOFC (V304_14) indicates whether the woman knew about female condoms as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V263" name="W_FPKNOIMP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about implants or Norplant for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOIMP (V304_11) indicates whether the woman knew about implants (such as Norplant) as a method for family planning. Implants were generally described as "small rods placed in their arm by a doctor, which stops them from becoming pregnant for several years."

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V264" name="W_FPKNOEMRG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Knows about emergency contraception a as a method of family planning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOEMRG indicates whether the woman knew about emergency contraception as a method for family planning. The complementary variable FPEVUSEMRG indicates whether the woman had ever used emergency contraception to delay or avoid a pregnancy.  

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V265" name="W_FPKNOWD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about withdrawal for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOWD (V304_09) indicates whether the woman knew about withdrawal as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V266" name="W_FPKNORHY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about rhythm for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNORHY (V304_08) indicates whether the woman knew about the rhythm method (periodic abstinence at the high-fertility part of the woman's menstrual cycle) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V267" name="W_FPKNOOM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Knows about other contraceptive as a method of family planning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOOM (V304_10) indicates whether the woman knew about any "other" method(s) as a method of family planning. The complementary variable FPEVUSOM indicates whether the woman had ever used any "other" method(s) to delay or avoid a pregnancy. The meaning of "other" in this case depends on the specific response categories included in a given sample. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V268" name="W_FPCUREFF" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told about side effects of FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUREFF (V3A02) indicates whether the woman was told by anyone about potential side effects of her current contraceptive method when she first obtained it. The related variable FPCURDEAL indicates whether the woman was told how to deal with these side effects.

Users should be careful to distinguish this variable from FPCUREFFWKR (V3A03), which indicates whether the woman was told about side effects by a health or family planning worker.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V269" name="W_FPCURDEAL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told how to deal with side effects of FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCURDEAL (V3A04) indicates whether the woman was told how to deal with the side effects of her current contraceptive method when she first obtained it.

The related variable FPCUREFF (V3A02) indicates whether the woman was told about the sides effects in general. FPCUREFFWKR (V3A03) indicates whether the woman was told about side effects by a health/family planning worker.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V270" name="W_FPCUREFFWKR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told about side effects by family planning worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUREFFWKR (V3A03) indicates whether the woman was told by a health or family planning worker about potential side effects of her current contraceptive method when she first obtained it. The related variable FPCURDEAL indicates whether the woman was told how to deal with these side effects.

Users should be careful to distinguish this variable from FPCUREFF (V3A02), which indicates whether the woman was told about side effects by anyone.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V271" name="W_FPCUROM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told about other FP methods
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUROM (V3A05) indicates whether the woman was told by anyone about other potential contraceptive methods she could use when she first obtained her current method. Universes vary across samples; see Comparability.

Users should be careful to distinguish this variable from FPCUROMWKR (V3A06), which indicates whether the woman was told about other potential methods by a health or family planning worker.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V272" name="W_FPCUROMWKR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever told about other family planning methods by FP worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUROMWKR (V3A06) indicates whether the woman was told by a health or family planning worker about other potential contraceptive methods she could use when she first obtained her current method. Universes vary across samples; see Comparability.

Users should be careful to distinguish this variable from FPCUROM (V3A05), which indicates whether the woman was told about other potential methods by anyone.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V273" name="W_FPTYPNOW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Current FP use by method type (folk, traditional, modern)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPNOW (V313) indicates whether the woman is currently using a modern, traditional, or folkloric method of contraception.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Folkloric or traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V274" name="W_FPUSPATRN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Pattern of use of contraceptive method
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPUSPATRN (V361) reports the woman's pattern of contraceptive use by indicating whether she is currently using, has used in the past, or has never used contraception.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Currently using
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Ever used, but not currently using
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Used since last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Used before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Never used
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V275" name="W_FPMETHNOW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Current method of FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPMETHNOW (V312) reports the contraceptive method the woman is currently using.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Answers are grouped under the broad categories of "modern methods," "traditional methods," and "other methods," each with a different first digit. Specific methods are distinguished by the second and third digits. See FPEVUSE for more information on broad categories of contraception.

Closely related responses, such as various groupings of diaphragm/foam/jelly, share the first 2 digits in common, while the third digit distinguishes the exact response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not using
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          MODERN METHODS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Pill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          IUD
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Norplant/Implants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Female Condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Female Sterilization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Male Sterilization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Injections
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Injection (3 monthly)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Injection (monthly)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Diaphragm/Foam/Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Diaphragm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Diaphragm/Foam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Diaphragm/Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Foam or Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Foaming tablets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Vaginal methods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Lactational amenorrhea (LAM)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Prolonged breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Emergency contraception
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          TRADITIONAL METHODS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Abstinence or periodic abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Periodic abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Cycle Beads/Standard days method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Mucus method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Natural family planning, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Withdrawal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Other traditional/folkloric
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Herbs/Plants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Gris-Gris/Amulet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Astrology
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Strings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          OTHER METHOD, UNSPECIFIED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Other specific method 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Other specific method 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Other specific method 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Other specific method 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V276" name="W_FPNOWUSPILL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Pill
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant and who ever used the Pill, FPNOWUSPILL (V307_01) indicates whether the woman is now using the Pill.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V277" name="W_FPNOWUSINJ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Injections
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSINJ (V307_03) indicates whether the woman is now using injectable contraception.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V278" name="W_FPNOWUSIUD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: IUD
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSIUD (V307_02) indicates whether the woman is now using an IUD.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V279" name="W_FPNOWUSIMP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Implants
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSIMP (V307_11) indicates whether the woman is now using a contraceptive implant, such as Norplant, to delay or avoid getting pregnant.  

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V280" name="W_FPNOWUSFST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Female sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSFST (V307_06) indicates whether the woman is now using female sterilization.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V281" name="W_FPNOWUSMST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Male sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSMST (V307_07) indicates whether the woman is now using male sterilization.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V282" name="W_FPNOWUSCON" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSCON (V307_05) indicates whether the woman is now using the male condom.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V283" name="W_FPNOWUSFC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSFC (V307_14) indicates whether the woman is now using the female condom to delay or avoid getting pregnant. 

Users should be careful to distinguish this variable from FPNOWUSCON, which refers to the male condom. 

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V284" name="W_FPNOWUSEMRG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Emergency contraception
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSEMRG indicates whether the woman is now using a form of emergency contraception to delay or avoid getting pregnant. 

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V285" name="W_FPNOWUSRHY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Rhythm
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSRHY (V307_08) indicates whether the woman is now using rhythm (periodic abstinence).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V286" name="W_FPNOWUSWD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Withdrawal
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSWD (V307_09) indicates whether the woman is now using withdrawal.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V287" name="W_FPNOWUSOM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Other method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSOM (V307_10) indicates whether the woman is now using some "other" contraceptive method to delay or avoid getting pregnant. The meaning of "other" depends on the specific response categories included in a given sample. 

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V288" name="W_FPCURSTMO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Month of calendar year when started using current FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently using family planning, FPCURSTMO reports the month of the calendar year when they first started using their current method. The year when the woman first started using her current method is reported in FPCURSTYR.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V289" name="W_FPCURSTYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Year when started using current FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1960" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently using family planning, FPCURSTYR reports the year when they first started using their current method. The calendar month when the woman first started using her current method is reported in FPCURSTMO.
      </txt>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V290" name="W_FPCURSTCMC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Date when started using current FP method (CMC)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently using family planning, FPCURSTCMC reports the century month code for the date when the woman started using her current method.
      </txt>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V291" name="W_FPCURCOMP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information: Start date of current method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPCURCOMP reports the completeness of information about the start date of the woman's current contraceptive method.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year given
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Month imputed, year given
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Month given, year imputed (date placed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          No information given (date placed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V292" name="W_FPCURNOMO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of use of current family planning method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are currently using a contraceptive method, FPCURNOMO (V337) reports the number of months they have been continuously using their current method.

Starting in Phase II, there are differences in the way these data are reported between Model "A" and Model "B" countries, due to the inclusion of a detailed calendar of events in the five years preceding the interview in Model "A" questionnaires. For Model "B" questionnaires, any response greater than 8 years is topcoded at "96." However, for Model "A" questionnaires, the maximum duration of use that could be recorded is the entire length of the calendar (i.e., 5 years).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96 or more months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          All calendar years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V293" name="W_FPNOW1SRC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        First source for contraception for current method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOW1SRC (V3A07) reports the first source for the respondent's current method of contraception.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Regional/provincial hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1160
        </catValu>
        <labl>
          Category I hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1170
        </catValu>
        <labl>
          Category II hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1180
        </catValu>
        <labl>
          University/teaching hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1181
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1182
        </catValu>
        <labl>
          Teaching hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1280
        </catValu>
        <labl>
          Category I health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1290
        </catValu>
        <labl>
          Category II health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Stand-alone family planninc clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1320
        </catValu>
        <labl>
          Mobile family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1410
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1411
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1420
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1430
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1431
        </catValu>
        <labl>
          Fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1432
        </catValu>
        <labl>
          Lady health worker (LHW)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1433
        </catValu>
        <labl>
          Lady health visitor (LHV)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1434
        </catValu>
        <labl>
          Community-based distribution agent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1435
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1436
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1437
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1600
        </catValu>
        <labl>
          Government maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1610
        </catValu>
        <labl>
          Maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Camp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Health box
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          Health insurance organization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          Curative care organization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          Youth facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Specialized hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2122
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Traditional doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Private pharmacy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Private dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Community-based distribution agent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2510
        </catValu>
        <labl>
          VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other private medical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Medical office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Care room
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Tent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Satellite clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          Community-based outlet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          NGO health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          NGO community-based distributor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          NGO fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          NGO depot holder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          AMO Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Egypt FP association
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          CSI project
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          MACRO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Religious health center/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4210
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4211
        </catValu>
        <labl>
          Mosque health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4212
        </catValu>
        <labl>
          Church health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4220
        </catValu>
        <labl>
          Religious dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Religious mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Religious door-to-door
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Shop/market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          General dealer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Supermarket
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5113
        </catValu>
        <labl>
          Tuck shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5114
        </catValu>
        <labl>
          Service station
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Kiosk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5130
        </catValu>
        <labl>
          Gas station
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5190
        </catValu>
        <labl>
          Other retail
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Church/mosque
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Bar/nightclub/hotel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5410
        </catValu>
        <labl>
          Bar/nightclub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5411
        </catValu>
        <labl>
          Bar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5420
        </catValu>
        <labl>
          Hotel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5500
        </catValu>
        <labl>
          Other institution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5510
        </catValu>
        <labl>
          School
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5520
        </catValu>
        <labl>
          Youth center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5530
        </catValu>
        <labl>
          Workplace
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5600
        </catValu>
        <labl>
          Media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5610
        </catValu>
        <labl>
          Family planning campaign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5700
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5710
        </catValu>
        <labl>
          Hakim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5720
        </catValu>
        <labl>
          Traditional birth attendant (TBA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5800
        </catValu>
        <labl>
          Informal channels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5810
        </catValu>
        <labl>
          Drug vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5820
        </catValu>
        <labl>
          Public toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V294" name="W_FPLASTSRCS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Last source for FP for current users, standardized
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women using a modern method of contraception, FPLASTSRCS (V327) reports the type of facility that was the source of the last contraceptive method used by the woman. This variable was constructed by recoding country-specific responses into a few standard categories that are consistent across samples.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Govt Clinic/Pharm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Govt Home/Comm delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Private Clin/Deliv
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Private Pharmacy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Church, Shop, friends, books
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V295" name="W_FP1STUSGPKID" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number living children at first use of FP (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FP1STUSGPKID (V311) reports the number of living children, if any, the woman had when she first used a contraceptive method, with the number top-coded at 4+ children. FP1STUSLVKID reports responses to the same question, without top-coding the answers.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Inconsistent number reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Never used fp
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V296" name="W_FP1STUSLVKID" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number living children at first use of FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FP1STUSLVKID (V310) reports the number of living children the woman had the first time she used a contraceptive method. The same information is also reported in FP1STUSGPKID, except responses are top-coded at 4+ children in that variable and women who have never used contraception are coded as "9."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Inconsistent data
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V297" name="W_FPUSINTENT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        FP current use or future intention
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPUSINTENT (V364) is a constructed variable drawing on responses to multiple survey questions that divides women into the following categories: those who are currently using a contraceptive method (either modern or traditional); those who are not now using contraception but intend to do so in the future; those who are neither using contraception now nor intend to do so in the future; and (in a minority of samples) those who never had sex.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

IPUMS-DHS users are encouraged to review FPMETHNOW and FPUSPLAN for additional information on the variables used to construct FPUSINTENT.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Using modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Using traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Non-user intending to use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Does not intend to use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Future use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V298" name="W_FPUSPLAN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Intention to use FP in future
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPUSPLAN (V362) is a constructed variable based on multiple survey questions that reports, for women not currently using contraception, whether the woman intends to use contraception in the future and, if so, when she intends to begin use (in the next 12 months or later). Women uncertain about future contraceptive use are subdivided into those who are unsure about using a method and those unsure about the timing of planned future use.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Will use in future
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Use in next 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Use later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Unsure about future use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Unsure about timing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Unsure about use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Does not intend to use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Future use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V299" name="W_FPEVUSE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use any type of FP (folk, traditional, modern)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="20"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPEVUSE (V302) is a constructed variable that reports whether the woman had ever used a family planning method and, if so, whether she had used a modern contraceptive method or only a traditional or folkloric method.  

In the DHS, modern methods are pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never used
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Used only traditional or folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Used only traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Used only folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Used modern method
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V300" name="W_FPEVUSPILL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use Pill for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSPILL (V305_01) indicates whether the woman has ever used the pill to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V301" name="W_FPEVUSIUD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use IUD for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSIUD (V305_02) indicates whether the woman had ever used an IUD to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V302" name="W_FPEVUSINJ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use injectable for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSINJ (V305_03) indicates whether the woman has ever used injectable contraception to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V303" name="W_FPEVUSCON" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSCON (V305_05) indicates whether the woman had ever used the male condom to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V304" name="W_FPEVUSFST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use female sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSFST (V305_06) indicates whether the woman had ever used female sterilization to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V305" name="W_FPEVUSWD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use withdrawal for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSWD (V305_09) indicates whether the woman has ever used withdrawal to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V306" name="W_FPEVUSRHY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use rhythm for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSRHY (V305_08) indicates whether the woman had ever used rhythm (periodic abstinence) to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V307" name="W_FPEVUSMST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use male sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSMST (V305_07) indicates whether the woman had ever used male sterilization to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V308" name="W_FPEVUSIMP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use implants/Norplant for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSIMP (V305_11) indicates whether the woman had ever used implants (such as Norplant) to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V309" name="W_FPEVUSFC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use female condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSFC (V305_14) indicates whether the woman had ever used the female condom to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V310" name="W_FPEVUSEMRG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use emergency contraception for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSEMRG indicates whether the woman had ever used emergency contraception to delay or avoid a pregnancy. The complementary variable FPKNOEMRG indicates whether the woman knew about emergency contraception as a method for family planning.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V311" name="W_FPEVUSOM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever use other methods for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSOM (V305_10) indicates whether the woman has ever used other methods to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V312" name="W_FPSTERNOCH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told sterilization would mean no more children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERNOCH (V3A01) indicates whether they were told, before they were sterilized, that they would not be able to have any more children as a result of the operation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V313" name="W_FPSTERILAGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age at sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERILAGE (V320) reports their age at the time of their sterilization operation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 25 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          25 - 29 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          30 - 34 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          35 - 39 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          40 - 44 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          45 - 49 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          50 - 54 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V314" name="W_FPSTERILPAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Parity at sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERILPAR (V322) reports the parity of the women at the time of their sterilization, top-coded at 5+ children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V315" name="W_FPSTERMARDUR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Marital duration at time of sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERMARDUR (V321) reports, in 5-year groups, the women's marital duration at the time of their sterilization.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Single, before marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          0 - 4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          5 - 9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          10 - 14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          15 - 19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          20 - 24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          25 - 29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V316" name="W_FPSTERYRAGO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Years since sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERYRAGO (V319) reports the number of years since their sterilization operation, using 2-year groups, top-coded at 10+ years.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 - 3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          4 - 5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          6 - 7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          8 - 9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          10 or more years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V317" name="W_FPHOMVISITY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Visited by family planning worker in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPHOMVISITY (V393) indicates whether the woman was visited by a health worker who talked to her about family planning in the 12 months preceding the interview.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V318" name="W_FPHCVISITY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Visited health facility for any reason in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPHCVISITY (V394) indicates whether the woman visited a health facility for any reason in the past 12 months.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V319" name="W_FPHCTALKFP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        At health facility told of family planning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had visited a health facility in the past year, FPHCTALKFP (V395) indicates whether any staff there talked to them about family planning.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V320" name="W_FPRADIOHR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard FP message on radio
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPRADIOHR (V365) indicates whether the woman heard family planning message(s) on the radio in the past month. Some samples specify longer periods of time. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, only once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V321" name="W_FPTVHR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard FP message on TV recently
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTVHR (V384) indicates whether the woman heard family planning message(s) on television in the last month. Some samples specify longer periods of time. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V322" name="W_FPNEWSHR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard FP message in newspaper/magazine
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPNEWSHR (V384C) indicates whether the woman has recently seen family planning messages in a newspaper or magazine.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V323" name="W_FPPOSTHR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Seen FP message on poster or pamphlet
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPPOSTHR indicates whether the woman has recently seen family planning messages on a poster.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V324" name="W_FPPLAYHR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard about family planning in: Theater/play/drama
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPPLAYHR indicates whether the woman has recently seen or heard family planning messages in a live drama, play, or theater performance.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V325" name="W_FPCLOTHHR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard about family planning: On Clothing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPCLOTHHR indicates whether the woman has recently seen family planning messages on clothing (such as a hat or t-shirt).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V326" name="W_FPOTHHR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard about family planning from: Other source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPOTHHR indicates whether the woman has recently seen or heard family planning messages from some "other" source. The meaning of other depends on the specific sources mentioned in each survey.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V327" name="W_FPYNOTMAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Not married
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTMAR (V3A08A) indicates whether they reported "not married"
 in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V328" name="W_FPYNOTNOSEX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Not having sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTNOSEX (V3A08B) indicates whether they reported "not having sex" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V329" name="W_FPYNOTINSEX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Infrequent sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTINSEX (V3A08C) indicates whether they reported "infrequent sex" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V330" name="W_FPYNOTMENO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Menopausal or hysterectomy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTMENO (V3A08D) indicates whether they reported "menopausal or hysterectomy" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V331" name="W_FPYNOTINF" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Subfecund or infecund
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTINF (V3A08E) indicates whether they reported "subfecund or infecund" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V332" name="W_FPYNOTAMEN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Postpartum amenorrheic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTAMEN (V3A08F) indicates whether they reported "postpartum amenorrheic" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V333" name="W_FPYNOTBSTFD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Breastfeeding
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTBSTFD (V3A08G) indicates whether they reported "breastfeeding" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V334" name="W_FPYNOTFATE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Fatalistic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTFATE (V3A08H) indicates whether they reported "fatalistic" or "up to God" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V335" name="W_FPYNOTOPPR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Respondent opposed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOPPR (V3A08I) indicates whether the respondent herself reported being opposed to use in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V336" name="W_FPYNOTOPPH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Husband or partner opposed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOPPH (V3A08J) indicates whether they reported "husband/partner opposed" in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V337" name="W_FPYNOTOPPO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Others opposed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOPPO (V3A08K) indicates whether they reported "others opposed" in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V338" name="W_FPYNOTRELIG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Religious prohibition
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and at risk of pregnancy, FPYNOTRELIG (V3A08L) indicates whether they reported "religious prohibition" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V339" name="W_FPYNOTKNO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Knows no contraceptive method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTKNO (V3A08M) indicates whether they reported not knowing a method in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V340" name="W_FPYNOTSRC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Knows no source of contraceptives
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTSRC (V3A08N) indicates whether they reported not knowing a source in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V341" name="W_FPYNOTHLTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Health concerns
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTHLTH (V3A08O) indicates whether they reported "health concerns" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V342" name="W_FPYNOTSIDEF" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Fear of side effects
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTSIDEF (V3A08P) indicates whether they reported "fear of side effects" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V343" name="W_FPYNOTSDHLTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Fear of side effects or health concerns
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTSDHLTH indicates whether they reported "fear of side effects" and/or "health concerns" in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V344" name="W_FPYNOTFAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Lack of access or too far
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTFAR (V3A08Q) indicates whether they reported "lack of access or too far" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V345" name="W_FPYNOTCOST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Costs too much
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTCOST (V3A08R) indicates whether they reported "costs too much" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V346" name="W_FPYNOTCONV" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Inconvenient to use
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTCONV (V3A08S) indicates whether they reported "inconvenient to use" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V347" name="W_FPYNOTBODY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Interferes with body's natural processes
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTBODY (V3A08T) indicates whether they reported "interferes with body's normal processes" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V348" name="W_FPYNOTOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Other reason
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOTH (V3A08X) indicates whether they reported some other reason in response to an open-ended question about reasons for not using contraception. The meaning of "other" depends on the specific response categories included in a given sample.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V349" name="W_FPYNOTDK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Don't know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTDK (V3A08Z) indicates whether they reported "don't know" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, does not know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V350" name="W_FPTYPPILL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Pill
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPPILL (V304A_01) reports whether the Pill is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPPILL (V304A_01) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V351" name="W_FPTYPIUD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: IUD
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPIUD (V304A_02) reports whether the intrauterine device (IUD) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPIUD (V304A_02) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V352" name="W_FPTYPINJ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Injectables
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPINJ (V304A_03) reports whether injectable contraception is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPINJ (V304A_03) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V353" name="W_FPTYPCON" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPCON (V304A_05) reports whether the male condom is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPCON (V304A_05) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V354" name="W_FPTYPFST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Female sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPFST (V304A_06) reports whether female sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPFST (V304A_06) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V355" name="W_FPTYPMST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Male sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPMST (V304A_07) reports whether male sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPMST (V304A_07) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V356" name="W_FPTYPRHY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Rhythm method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPRHY (V304A_08) reports whether the rhythm method (periodic abstinence) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPRHY (V304A_08) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V357" name="W_FPTYPWD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Withdrawal
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPWD (V304A_09) reports whether withdrawal is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPWD (V304A_09) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V358" name="W_FPTYPIMP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Implants or norplants
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPIMP (V304A_11) reports whether the contraceptive implant (such as Norplant) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPIMP (V304A_11) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V359" name="W_FPTYPFC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPFC (V304A_14) reports whether the female condom is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPFC (V304A_14) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V360" name="W_FPTYPEMERG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Emergency contraception
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPEMERG reports whether emergency contraception is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPEMERG and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V361" name="W_FPTYPOM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Other method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPOM (V304A_10) reports whether any "other" method reported by the woman is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. The meaning of "other" depends on the specific response categories included in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPOM (V304A_10) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V362" name="W_FPNONPUBHOS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBHOS (V3A00A) indicates whether, in response to an open-ended question, they reported a public hospital as a source for family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V363" name="W_FPNONPUBHC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBHC (V3A00B) indicates whether, in response to an open-ended question, they reported a public health center as a source of family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V364" name="W_FPNONPUBMOB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBMOB (V3A00D) indicates whether, in response to an open-ended question, they reported a public mobile clinic as a source of family planning.

Users should be careful to distinguish this variable from FPNONPRIVMOB, which refers to private mobile clinics.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V365" name="W_FPNONPUBFW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBFW (V3A00E) indicates whether, in response to an open-ended question, they reported a "public fieldworker" as a source of family planning.

Users should be careful to distinguish this variable from FPNONPRIVFW ("fieldworker" under the private medical sector category).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V366" name="W_FPNONPUBOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Other public source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBOTH (V3A00I) indicates whether, in response to an open-ended question, they reported some "other" public medical facility as a source of family planning. The meaning of "other" varies depending on the specific categories included in a given sample.

Users should be careful to distinguish this variable from FPNONPRIVOTH ("other" under the private medical sector) and FPNONOTHER ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V367" name="W_FPNONPRIVMIS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Religious/mission hospital, health center, or clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVMIS indicates whether they reported, in response to an open-ended question, a faith-based health facility.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V368" name="W_FPNONPRIVMOB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Private mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVMOB (V3A00M) indicates whether, in response to an open-ended question, they reported a private mobile clinic as a source of family planning.

Users should be careful to distinguish this variable from FPNONPUBMOB, which refers to public sector mobile clinics.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V369" name="W_FPNONPRIVDRUG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Private pharmacy, drug store, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVDRUG (V3A00K) indicates whether they reported, in response to an open-ended question, a private pharmacy, drug store, or dispensary as a source of family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

Users should be careful to distinguish this variable from FPNONPUBDRUG and FPNONOTHDRUG, which refer to public drug sources and informal drug sources, respectively.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V370" name="W_FPNONPRIVFW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Private fieldworker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVFW (V3A00N) indicates whether, in response to an open-ended question, they reported a "private fieldworker" as a source of family planning.

Users should be careful to distinguish this variable from FPNONPUBFW ("fieldworker" under the public medical sector category).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V371" name="W_FPNONPRIVOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Other private medical sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVOTH (V3A00R) indicates whether, in response to an open-ended question, they reported some "other" private medical facility as a source of family planning. The meaning of "other" depends on the specific categories included in a given sample.

Users should be careful to distinguish this variable from FPNONPUBOTH ("other" under the public sector) and FPNONOTHER ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V372" name="W_FPNONCHURCH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Church or Mosque
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONCHURCH indicates whether a church was mentioned in response to an open-ended question about where family planning can be obtained.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V373" name="W_FPNONFRND" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Friend or relative
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONFRND indicates whether they reported, in response to an open-ended question, a friend or relative as a source of family planning.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V374" name="W_FPNONSHOP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Shop or kiosk
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONSHOP (V3A00S) indicates whether, in response to an open-ended question, they reported a shop as a source of family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V375" name="W_FPNONOTHER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Other source, unspecified
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONOTHER (V3A00X) indicates whether they reported some "other" source when asked an open-ended question about where family planning can be obtained. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from FPNONPUBOTH ("other" under the public medical sector) and FPNONPRIVOTH ("other" under the private medical sector). This variable includes those "other" categories that do not fit into the public or private medical sector.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V376" name="W_FPNONDK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Does not know a source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONDK (V3A00Y) indicates whether they did not know of any source when asked an open-ended question about where family planning can be obtained.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, knows at least one source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, knows no source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V377" name="W_FPNONANY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Knows any source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONANY (V3A00Z) indicates whether they knew any source when asked an open-ended question about where family planning can be obtained.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, knows no source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, knows at least one source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V378" name="W_FPNONMW1" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Public health post or outreach (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a contraceptive method, FPNONMW1 indicates whether, in response to an open-ended question, they reported a public health post or outreach program as a source of family planning. This response category is country-specific to Malawi.

Though IPUMS-DHS integrates "government health post" across samples (see FPNONPUBHP), FPNONMW1 is not included in the integrated variable because it consolidates multiple sources into a single category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V379" name="W_FPNONMW2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Youth drop-in center (other) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a contraceptive method, FPNONMW2 indicates whether, in response to an open-ended question, they reported a "youth drop-in center" as a source of family planning. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V380" name="W_FPNONMW3" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Health surveillance assistant (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a contraceptive method, FPNONMW3 indicates whether, in response to an open-ended question, they reported a "health surveillance assistant" as a source of family planning. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V381" name="W_FPNONMW4" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a contraceptive method, FPNONMW4 indicates whether, in response to an open-ended question, they reported a "mission hospital" as a source of family planning. This response category is country-specific to Malawi. 

Some samples in the "FPNON" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

FPNONMW4 is combined with FPNONMW5 (mission health center) and FPNONMW6 (mission mobile clinic) in FPNONPRIVMIS for the Malawi samples. IPUMS-DHS users interested in using FPNONMW4 are encouraged to review FPNONPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V382" name="W_FPNONMW5" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a contraceptive method, FPNONMW5 indicates whether, in response to an open-ended question, they reported a "mission health center" as a source of family planning. This response category is country-specific to Malawi.

Some samples in the "FPNON" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

FPNONMW5 is combined with FPNONMW4 (mission hospital) and FPNONMW6 (mission mobile clinic) in FPNONPRIVMIS for the Malawi samples. IPUMS-DHS users interested in using FPNONMW5 are encouraged to review FPNONPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V383" name="W_AIDSHEARD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard of AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDSHEARD (V751) indicates whether the woman has heard of AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General HIV/AIDS knowledge Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V384" name="W_AIDHEALTHY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Thinks a healthy-looking person can have AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDHEALTHY (V756) indicates whether the woman thinks it is possible for a healthy-looking person to have HIV/AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General HIV/AIDS knowledge Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V385" name="W_AIDHRDRUGHELP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard of drugs to help infected people live longer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDHRDRUGHELP (V837) indicates whether the woman had heard of medicine to help people with HIV/AIDS. How such drugs were labeled and how their effects were described varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General HIV/AIDS knowledge Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V386" name="W_AIDFAMSECRET" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Would want HIV infection in family to remain secret
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDFAMSECRET (V777) indicates whether the woman would want an HIV/AIDS infection in her family to remain a secret.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, keep it a secret
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V387" name="W_AIDCAREREL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Willing to care for relative who has AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDCAREREL (V778) indicates whether the woman would be willing to care for a relative with AIDS in her own household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V388" name="W_AIDLETTCHF" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Should female teacher with HIV, but not sick, continue teaching
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDLETTCHF (V779) indicates whether the woman thinks a female teacher with HIV/AIDS should be allowed to continue teaching. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V389" name="W_AIDGETVENDOR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Would buy vegetables from vendor with AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDGETVENDOR (V825) indicates whether the woman would buy vegetables from a vendor with HIV/AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V390" name="W_AIDGETWITCH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Get AIDS from: Witchcraft or supernatural means
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDGETWITCH (V823) indicates whether the woman believes AIDS can be contracted through witchcraft or supernatural means. Not all surveys specifically use the term "witchcraft" in the question. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V391" name="W_AIDGETBITE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Get AIDS from: Mosquito bites
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AIDGETBITE (V754JP) indicates whether, in response to a yes/no question, the respondent believes that AIDS can be transmitted through mosquito bites.

IPUMS-DHS users may also be interested in AIDTHRUBITE, which indicates whether, in response to an open-ended question, the respondent stated that AIDS can be transmitted through mosquito bites.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V392" name="W_AIDGETFOOD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Get AIDS from: Sharing food with person with AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDGETFOOD (V754WP) indicates whether the woman believes AIDS can be transmitted through sharing food (or dining utensils) with an infected person.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V393" name="W_AID1PARLOWRYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Thinks having only 1 sex partner reduces AIDS risk (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AID1PARLOWRYN (V754DP) indicates whether the woman believes having sex with only one partner who has no other sex partners reduces the risk of contracting HIV/AIDS.

For a similar variable asked as an open-ended question, see AID1PARLOWR (V754D).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V394" name="W_AIDABSTLOWRYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Thinks not having sex reduces AIDS risk (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AIDABSTLOWRYN (V754BP) indicates whether the woman believes abstaining from sex reduces risk of contracting HIV/AIDS.

For a similar variable asked as an open-ended question, see AIDABSTLOWR (V754B).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don’t know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V395" name="W_AIDCONLOWRYN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Thinks always using a condom reduces AIDS risk (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AIDCONLOWRYN (V754CP) indicates whether the woman believes using a condom during sex reduces risk of contracting HIV/AIDS.

For a similar variable asked as an open-ended question, see AIDCONLOWR (V754C).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V396" name="W_AIDKNOPREGDRG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Know about drugs to avoid AIDS transmission to baby during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDKNOPREGDRG (V824) indicates whether the woman knows of medicine that helps prevent transmission of HIV/AIDS from mother to child during pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V397" name="W_AIDTRANDELIV" files="F1" dcml="0" intrvl="discrete">
      <labl>
        How AIDS transmitted from mother to child: During delivery
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTRANDELIV (V774B) indicates whether the woman acknowledged transmission during delivery as a way that AIDS can be passed from mother to child. While this information was generally collected using a yes/no question format, some surveys used an open-ended question instead. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V398" name="W_AIDTRANFEED" files="F1" dcml="0" intrvl="discrete">
      <labl>
        How AIDS transmitted from mother to child: Breastfeeding
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTRANFEED (V774C) indicates whether the woman acknowledged transmission during breastfeeding as a way that AIDS can be passed from mother to child. While this information was generally collected using a yes/no format, some surveys used an open-ended question instead. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V399" name="W_AIDTRANPREG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        How AIDS transmitted from mother to child: During pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTRANPREG (V774A) indicates whether the woman acknowledged transmission during pregnancy as a way that AIDS can be passed from mother to child. While this information was generally collected using a yes/no question format, some surveys used an open-ended question. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V400" name="W_AIDTESTEV" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever been tested for AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTESTEV (V781) indicates whether the respondent has ever been tested for HIV/AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don’t know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V401" name="W_AIDANTALK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        During antenatal visit talked about: HIV transmitted mother to child
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDANTALK (V838A) indicates whether women who gave birth recently (last three to five years before the survey) talked to anyone or were given information during antenatal care about HIV transmission from mother to child.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V402" name="W_AIDANTALKPREV" files="F1" dcml="0" intrvl="discrete">
      <labl>
        During antenatal visit talked about: Preventing getting HIV
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDANTALKPREV (V838B) indicates whether women who gave birth recently (last three to five years before the survey) talked to anyone or were given any information during antenatal care about things to do to prevent getting the AIDS virus.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V403" name="W_AIDTANTALK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        During antenatal visit talked about: Getting tested for HIV
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANTALK (V838C) indicates whether women who gave birth recently (last two to five years before the survey) talked to anyone or were given information during antenatal care about getting tested for the AIDS virus.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V404" name="W_AIDTANOFFER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Offered HIV test as part of antenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANOFFER (V839) indicates whether women who gave birth recently (last two to five years before the survey) were offered a test for the AIDS virus as part of antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V405" name="W_AIDTANCARE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Tested for HIV as part of antenatal visit
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANCARE (V840) indicates whether women who gave birth recently (last two to five years before the survey) were tested for the AIDS virus as part of antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V406" name="W_AIDTANGOTRES" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Got results of HIV test as part of antenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANGOTRES (V841) indicates whether women who gave birth recently (last three to five years before the survey) and were tested for the AIDS virus as part of antenatal care received the results of that test.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V407" name="W_AIDTLASTANTE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for last AIDS test as antenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who recently gave birth and were tested for the HIV/AIDS virus as part of their antenatal care, AIDTLASTANTE (V842) indicates where they took the test. 

Responses vary widely across surveys; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1140
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1141
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1142
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1150
        </catValu>
        <labl>
          Category I hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1160
        </catValu>
        <labl>
          Category II hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1250
        </catValu>
        <labl>
          Ambulatory treatment center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1260
        </catValu>
        <labl>
          Category I health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1270
        </catValu>
        <labl>
          Category II health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1280
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Government STI or HIV/AIDS center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Government VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Government stand-alone VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Government mobile VCT/survey team
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1320
        </catValu>
        <labl>
          Government screening center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1510
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1520
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1530
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1531
        </catValu>
        <labl>
          Field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1532
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1533
        </catValu>
        <labl>
          Trained government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1534
        </catValu>
        <labl>
          Health surveillance assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1535
        </catValu>
        <labl>
          Door-to-door
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1600
        </catValu>
        <labl>
          Government maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1610
        </catValu>
        <labl>
          Prevention of vertical transmission (PVT)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1700
        </catValu>
        <labl>
          Government school-based facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1710
        </catValu>
        <labl>
          School clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1720
        </catValu>
        <labl>
          School dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1730
        </catValu>
        <labl>
          Youth center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1800
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Blood donation center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Private hospital/clinic or doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Private doctor/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Private polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Private STI or HIV/AIDS center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Private VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Private stand-alone VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Private mobile VCT/survey team
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          New Start center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          HIV/AIDS treatment center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2522
        </catValu>
        <labl>
          Private field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2610
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2620
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2621
        </catValu>
        <labl>
          Private community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2800
        </catValu>
        <labl>
          Private school-based facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2810
        </catValu>
        <labl>
          School clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2820
        </catValu>
        <labl>
          School dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Private laboratory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Private blood transfusion services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Private youth center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          International Red Cross
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Marie Stopes International
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          Population Services International (PSI)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          NGO health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          MACRO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          TASO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          AIC
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RELIGIOUS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Religious pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Religious outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4410
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4420
        </catValu>
        <labl>
          Religious mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4430
        </catValu>
        <labl>
          Religious door-to-door
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other religious
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5001
        </catValu>
        <labl>
          Home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5002
        </catValu>
        <labl>
          Workplace
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5003
        </catValu>
        <labl>
          Correctional facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5004
        </catValu>
        <labl>
          Fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5005
        </catValu>
        <labl>
          Friend/relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5006
        </catValu>
        <labl>
          Military base
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5007
        </catValu>
        <labl>
          Community support group
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5008
        </catValu>
        <labl>
          Bar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5009
        </catValu>
        <labl>
          Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9000
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V408" name="W_AIDTSINCEAN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Tested for HIV since antenatal visit test
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTSINCEAN (V843) indicates whether women who gave birth recently (last two to five years before the survey) and were tested for the AIDS virus as part of antenatal care had been tested again since then.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V409" name="W_AIDLTCHOSE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Last HIV test was on your own, offered or required
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had been tested for the AIDS virus, AIDLTCHOSE (V827) reports whether they requested their last AIDS test, had it offered to them and accepted it, or were required to be tested.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Asked for the test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Offered and accepted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Required
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Without consent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V410" name="W_AIDLTGOTRES" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received results from last HIV test
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had been tested for the AIDS virus, AIDLTGOTRES indicates whether they received the result of their last AIDS test.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V411" name="W_ATLWHERE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place where last HIV/AIDS test was taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women ever been tested for HIV/AIDS, ATLWHERE (V829) reports where the woman's last HIV/AIDS test was taken. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1140
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1141
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1142
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1150
        </catValu>
        <labl>
          Category I hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1160
        </catValu>
        <labl>
          Category II hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1260
        </catValu>
        <labl>
          Ambulatory treatment center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1270
        </catValu>
        <labl>
          Category I health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1280
        </catValu>
        <labl>
          Category II health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1290
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Government STI or HIV/AIDS center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Government VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Government stand-alone VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Government mobile VCT/survey team
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1320
        </catValu>
        <labl>
          Government screening center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1330
        </catValu>
        <labl>
          STI clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1510
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1520
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1521
        </catValu>
        <labl>
          Sub-center or sub-post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1530
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1531
        </catValu>
        <labl>
          Field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1532
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1533
        </catValu>
        <labl>
          Trained government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1534
        </catValu>
        <labl>
          Health surveillance assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1535
        </catValu>
        <labl>
          Door-to-door
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1540
        </catValu>
        <labl>
          Government outreach clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1541
        </catValu>
        <labl>
          Primary health care outreach clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1600
        </catValu>
        <labl>
          Government maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1700
        </catValu>
        <labl>
          Government school-based clinic/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1800
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Blood donation center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Government laboratory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Government health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Private hospital/clinic or doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Private doctor/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Private polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Private STI or HIV/AIDS center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Private VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Private stand-alone VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Private mobile VCT/survey team
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          New Start center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          HIV/AIDS treatment center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          STI clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2522
        </catValu>
        <labl>
          Private field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2530
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2610
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2620
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2621
        </catValu>
        <labl>
          Private community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2800
        </catValu>
        <labl>
          Private school-based clinic/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Private laboratory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Private blood transfusion services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Private youth center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Private diagnostic clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          International Red Cross
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Marie Stopes International
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          Population Services International (PSI)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          NGO health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          MACRO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          TASO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          AIC
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Association of Medical Doctors of Asia (AMDA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3306
        </catValu>
        <labl>
          International Nepal Fellowship (INF)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RELIGIOUS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Religious pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Religious outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4410
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4420
        </catValu>
        <labl>
          Religious mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4430
        </catValu>
        <labl>
          Religious door-to-door
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5001
        </catValu>
        <labl>
          Home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5002
        </catValu>
        <labl>
          School
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5003
        </catValu>
        <labl>
          Workplace
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5004
        </catValu>
        <labl>
          Correctional facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5005
        </catValu>
        <labl>
          Fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5006
        </catValu>
        <labl>
          Friend/relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5007
        </catValu>
        <labl>
          Military base
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5008
        </catValu>
        <labl>
          Community support group
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5009
        </catValu>
        <labl>
          Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5010
        </catValu>
        <labl>
          Shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9000
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V412" name="W_HPLCAIDSTEST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Knows of place to get AIDS test
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HPLCAIDSTEST (V783) indicates whether the woman knew a place to get tested for the AIDS virus, based on a yes/no question.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V413" name="W_ATPUBHOS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBHOS (V784A) indicates whether, in response to an open-ended question, the woman reported a public hospital as a place to be tested for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined in ATPUBHOS to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V414" name="W_ATPUBHC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBHC (V784B) indicates whether, in response to an open-ended question, the woman reported a public health center as a place to be tested for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined in ATPUBHC to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V415" name="W_ATPUBFW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBFW (V784F) indicates whether, in response to an open-ended question, the woman reported a private field worker as a source for testing for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable such as ATPUBFW while preserving the separate responses in country-specific variables. See Comparability for more information on the specific categories combined in this variable.

IPUMS-DHS users should be careful to distinguish ATPUBFW from ATPRIVFW (private fieldworker).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V416" name="W_ATPUBOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Other public medical sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBOTH (V784J) indicates whether, in response to an open-ended question, the woman reported some "other" public medical facility as a place to be tested for the AIDS virus. The meaning of "other" depends on the specific places for AIDS testing included in a given sample.

Users should be careful to distinguish ATPUBOTH from ATPRIVOTH ("other" under the private medical sector) and ATOTHER ("other" that is not listed under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V417" name="W_ATPRIVHOS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Private hospital/clinic/doctor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPRIVHOS (V784K) indicates whether, in response to an open-ended question, the woman reported a private hospital, clinic, or doctor as a source for testing for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V418" name="W_ATPRIVMIS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Religious/mission hospital, health center, or clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPRIVMIS indicates whether, in response to an open-ended question, the woman reported a faith-based health facility as a place to be tested for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined in ATPRIVMIS to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V419" name="W_ATPRIVOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Other private medical sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPRIVOTH (V784S) indicates whether, in response to an open-ended question, the woman reported some "other" private medical facility as a place to be tested for the AIDS virus. The meaning of "other" depends on the specific places for AIDS testing included in a given sample.

Users should be careful to distinguish this variable from ATPUBOTH ("other" under the public medical sector) and ATOTHER ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V420" name="W_ATOTHER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATOTHER (V784X) indicates whether the woman reported some other place to be tested for the AIDS virus. The meaning of "other" depends on the specific places for AIDS testing included in a given sample.

Users should be careful to distinguish this variable from ATPUBOTH ("other" under the public medical sector) and ATPRIVOTH ("other" under the private medical sector). ATOTHER includes those "other" categories that do not fit into the public or private medical sector.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V421" name="W_ATMW1" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Health Surveillance Assistant (HSA) (other) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW1 indicates whether, in response to an open-ended question, the woman reported a public health surveillance assistant (HSA) as a source for testing for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW1 is combined with ATMW2 (public community-based distribution agent/door-to-door) in ATPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW1 are encouraged to review ATPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V422" name="W_ATMW2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW2 indicates whether, in response to an open-ended question, the woman reported a public community-based distribution agent/door-to-door as a source for testing for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW2 is combined with ATMW1 (public health surveillance assistant (HSA)) in ATPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW2 are encouraged to review ATPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V423" name="W_ATMW3" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Private company hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW3 indicates whether, in response to an open-ended question, the woman reported a private company hospital/clinic as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW3 is combined with ATMW4 (private hospital/clinic/doctor) in ATPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW3 are encouraged to review ATPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V424" name="W_ATMW4" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Private hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW4 indicates whether, in response to an open-ended question, the woman reported a private hospital/clinic/doctor as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW4 is combined with ATMW3 (private company hospital/clinic) in ATPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW4 are encouraged to review ATPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V425" name="W_ATMW5" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW5 indicates whether, in response to an open-ended question, the woman reported a mission hospital as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW5 is combined with ATMW6 (mission health center) in ATPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW5 are encouraged to review ATPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V426" name="W_ATMW6" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW6 indicates whether, in response to an open-ended question, the woman reported a mission health center as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW6 is combined with ATMW5 (mission hospital) in ATPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW6 are encouraged to review ATPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V427" name="W_ATMW7" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Banja La Mtsogolo (BLM) (other) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ATMW7 indicates whether, in response to an open-ended question, the woman reported Banja La Mtsogolo (BLM), a non-governmental organization based in Malawi, as a source for testing for the AIDS virus. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V428" name="W_ATMW8" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Malawi AIDS Counseling and Resource Organization (MACRO) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ATMW8 indicates whether, in response to an open-ended question, the woman reported the Malawi AIDS Counseling and Resource Organization (MACRO) as a source for testing for the AIDS virus. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V429" name="W_ATMW9" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Health post/outreach (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW9 indicates whether, in response to an open-ended question, the woman reported a public health post/outreach as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Although IPUMS-DHS integrates "public health post" (see ATPUBHP) across samples, ATMW9 is not included in that integrated variable because multiple sources are consolidated into a single category in ATMW9.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V430" name="W_TIMESINCESEX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TIMESINCESEX (V527) reports how many days, weeks, months or years had passed since the woman had sexual intercourse with her most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 day ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          Days, number inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          Weeks, inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Months, inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          35 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          36 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          37 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          38 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          39 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          40 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          41 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          42 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          43 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          44 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          45 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          46 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          47 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          48 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          49 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          50+ years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          With former husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V431" name="W_TIMESINCESEXD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse in days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMESINCESEXD (V528) reports the number of days that have passed since the respondent last had sexual intercourse. Durations of more than 30 days are grouped into "31+."

If the respondent reported having sexual intercourse in the last 4 weeks but replied that her last sexual intercourse was one month before the interview (in TIMESINCESEX (V527), this response is recoded to "30" in TIMESINCESEXD. In all other cases, a response of "One month" in TIMESINCESEX is coded as "31+."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31+ days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Not married/no regular partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          With former husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V432" name="W_TIMESINCESEXM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse in months (imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMESINCESEXM (V529) reports the computed time (in months) since the respondent last had sexual intercourse. 

This variable's value is computed from the responses in TIMESINCESEX (V527), with durations exceeding the interval since the last birth recoded as "Before last birth."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          No partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          With former husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V433" name="W_TIMESINCESEXFLAG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag for time since last sex (months, imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMESINCESEXFLAG (V530) is a flag variable reporting the type of problem found when editing responses about the time that has passed since the respondent last had sexual intercourse (in TIMESINCESEXM (V529)).

Below are descriptions of each code:

0 = No flag
1 = Duration reported is greater than the interval since the last birth, and the respondent did not say in the maternity section (PPABSTAINNOW (V406)) that she is still abstaining from sexual relations since her last birth
2 = Duration reported plus the duration of abstinence after the last birth (PPABMO_01 (M8_1)) is greater than the interval since the last birth
3 = Duration reported, but the respondent has not resumed sexual intercourse since the last birth
4 = Respondent reported last intercourse was before her last birth, but she has never given birth
5 = Respondent reported last intercourse was before her last birth, but she was currently pregnant (PREGNANT (V213).
6 = Respondent reported last intercourse was before her last birth, but she reported in the maternity section that she had resumed sexual intercourse after her last birth
7 = Respondent reported a duration since her last intercourse, but this would place her last intercourse before her last pregnancy
8 = Respondent reported a duration since her last intercourse, but this response was inconsistent with her response concerning the number of times she had sexual intercourse in the 4 weeks preceding the survey (SX4WKX (V526))
9 = Duration reported, but would place her last sexual intercourse before her last birth]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Duration greater than time since last birth and did not report pp abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Duration plus abstinence after last birth greater than time since last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Reported, but did not resume sex after last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Before last birth, but no births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Before last birth, but currently pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Before last birth, but resumed sex after last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Reported but before last pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Reported but inconsistent with times had sex in past 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Reported but before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V434" name="W_SXTIMETOPAR2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse: 2nd to last sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had sexual intercourse with more than one partner in the last 12 months, SXTIMETOPAR2 (V832B) indicates how many days, weeks, or months had passed since she had intercourse with her second most recent sex partner.

For data on the most recent partner, see TIMESINCESEX (V527).]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 day ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V435" name="W_SXTIMETOPAR3" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse: 3rd to last sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse with more than two partners in the last 12 months, SXTIMETOPAR3 (V832C) indicates how many days, weeks, or months had passed since she had intercourse with her third most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 day ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V436" name="W_SXPARYRNO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of sex partners, including spouse, in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPARYRNO (V766B) reports the number of sex partners the woman had in the past 12 months, including her spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V437" name="W_SXPARYRNO2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of sex partners, excluding spouse, in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPARYRNO2 (V766A) reports the number of sex partners the woman had in the past 12 months, excluding her spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V438" name="W_SEXACTIV4WK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sexual activity in past 4 weeks
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SEXACTIV4WK (V536) reports the respondent's recent sexual activity (never had intercourse, sexually active in the last 4 weeks, not active in the last 4 weeks because of postpartum abstinence, or not active in the last 4 weeks because of something other than postpartum abstinence).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never had intercourse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sexually active in last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not active in last 4 weeks (postpartum abs.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not active in last 4 weeks (not postpartum abs.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V439" name="W_DURABST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of abstinence (months)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DURABST (V537) reports the duration of the respondent's abstinence (in months). This time interval includes postpartum and non-postpartum abstinence.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V440" name="W_SXCANREFUSE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman can refuse sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXCANREFUSE (V850A) indicates whether the woman can refuse to have sex with her husband or partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/Not sure/Depends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V441" name="W_SXPAR1NO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Times had sex with most recent partner in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR1NO (V853A) reports how many times the woman had sex with her most recent partner in the 12 months prior to the interview, top-coded at 95+.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V442" name="W_SXPAR2NO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Times had sex with 2nd most recent partner in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR2NO (V853B) reports the number of times women had sex with their second-most-recent partner in the 12 months prior to the interview, top-coded at 95+.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V443" name="W_SXPAR3NO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Times had sex with third most recent partner in the last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR3NO (V853C) reports the number of times women had sex with their third-most-recent partner in the 12 months prior to the interview, top-coded at 95+.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V444" name="W_SXPAR1REL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Relationship with most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR1REL (V767A) reports the woman's relationship to her most recent male sex partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Spouse/cohabiting partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Live-in partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Boyfriend/fiance not living with respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Casual acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Someone just met
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Commercial sex worker/client
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Ex-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Formerly married/no partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V445" name="W_SXPAR2REL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Relationship with 2nd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR2REL (V767B) reports the woman's relationship to her second most recent male sex partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Spouse/cohabiting partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Live-in partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Boyfriend/fiance not living with respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Casual acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Commercial sex worker/client
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Ex-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V446" name="W_SXPAR3REL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Relationship with 3rd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR3REL (V767C) reports the woman's relationship to her third most recent male sex partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Spouse/cohabiting partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Live-in partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Boyfriend/fiance not living with respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Casual acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Commercial sex worker/client
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Ex-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V447" name="W_SXPAR1AGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age of most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="9" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had intercourse in the last 12 months, SXPAR1AGE (V834A) reports the age of the woman's most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V448" name="W_SXPAR1YNGR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Last sexual partner younger, the same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women who had intercourse in the last 12 months, SXPAR1YNGR (V821A) reports whether the woman's most recent sexual partner was younger, about the same age, or older than she was.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V449" name="W_SXPAR2AGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age of 2nd most recent sex partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had intercourse in the last 12 months, SXPAR2AGE (V834B) reports the age of the woman's second most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V450" name="W_SXPAR2YNGR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Second to last sexual partner younger, the same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women who had intercourse in the last 12 months, SXPAR2YNGR (V821B) reports whether the woman's second most recent sexual partner was younger, about the same age, or older than she was.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V451" name="W_SXPAR3AGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age of 3rd most recent sex partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="13" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had intercourse in the last 12 months, SXPAR3AGE (V834C) reports the age of the woman's third most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V452" name="W_SXPAR3YNGR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Third to last sexual partner younger, the same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women who had intercourse in the last 12 months, SXPAR3YNGR (V821C) reports whether the woman's third most recent sexual partner was younger, about the same age, or older than she was.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V453" name="W_SXPAR1TIMKNO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Length of time knew most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse in the last 12 months, SXPAR1TIMKNO (V768A) indicates how long (how many days, weeks, months or years) the woman had known her most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          391
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          392
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          393
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          394
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          395
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          396
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          397
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          398
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          399
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          402
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          403
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          404
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          405
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          406
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          407
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          408
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          409
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          410
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          411
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          412
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          413
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          414
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          415
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          416
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          417
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          418
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          419
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          420
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          421
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          422
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          423
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          424
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          425
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          426
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          427
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          428
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          429
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          430
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          431
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          432
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          433
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          434
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          435
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          436
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          437
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          438
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          439
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          440
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          441
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          442
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          443
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          444
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          445
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          446
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          447
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          448
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          449
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          450
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Days - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Weeks - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Months - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Years - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V454" name="W_SXPAR2TIMKNO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Length of time knew 2nd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse in the last 12 months, SXPAR2TIMKNO (V768B) indicates how long (how many days, weeks, months or years) the woman had known her second most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          391
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          392
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          393
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          394
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          395
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          396
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          397
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          398
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          399
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          402
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          403
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          404
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          405
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          406
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          407
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          408
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          409
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          410
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          411
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          412
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          413
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          414
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          415
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          416
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          417
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          418
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          419
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          420
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          421
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          422
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          423
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          424
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          425
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          426
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          427
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          428
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          429
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          430
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          431
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          432
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          433
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          434
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          435
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          436
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          437
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          438
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          439
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          440
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          441
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          442
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          443
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          444
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          445
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          446
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          447
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          448
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          449
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Days - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Weeks - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Months - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Years - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V455" name="W_SXPAR3TIMKNO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Length of time knew 3rd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse in the last 12 months, SXPAR3TIMKNO (V768C) indicates how long (how many days, weeks, months or years) the woman had known her third most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          391
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          392
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          393
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          394
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          395
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          396
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          397
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          398
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          399
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          402
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          403
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          404
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          405
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          406
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          407
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          408
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          409
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          410
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          411
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          412
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          413
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          414
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          415
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          416
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          417
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          418
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          419
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          420
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          421
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          422
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          423
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          424
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          425
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          426
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          427
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          428
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          429
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          430
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          431
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          432
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          433
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          434
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          435
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          436
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          437
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          438
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          439
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          440
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          441
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          442
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          443
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          444
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          445
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          446
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          447
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          448
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          449
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          450
        </labl>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          451
        </labl>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          452
        </labl>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          453
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          454
        </labl>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          455
        </labl>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          456
        </labl>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          457
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          458
        </labl>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          459
        </labl>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          460
        </labl>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          461
        </labl>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          462
        </labl>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          463
        </labl>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          464
        </labl>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          465
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          466
        </labl>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          467
        </labl>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          468
        </labl>
      </catgry>
      <catgry>
        <catValu>
          469
        </catValu>
        <labl>
          469
        </labl>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          470
        </labl>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          471
        </labl>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          472
        </labl>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          473
        </labl>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          474
        </labl>
      </catgry>
      <catgry>
        <catValu>
          475
        </catValu>
        <labl>
          475
        </labl>
      </catgry>
      <catgry>
        <catValu>
          476
        </catValu>
        <labl>
          476
        </labl>
      </catgry>
      <catgry>
        <catValu>
          477
        </catValu>
        <labl>
          477
        </labl>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          478
        </labl>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          479
        </labl>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          480
        </labl>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          481
        </labl>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          482
        </labl>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          483
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          484
        </labl>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          485
        </labl>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          486
        </labl>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          487
        </labl>
      </catgry>
      <catgry>
        <catValu>
          488
        </catValu>
        <labl>
          488
        </labl>
      </catgry>
      <catgry>
        <catValu>
          489
        </catValu>
        <labl>
          489
        </labl>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          490
        </labl>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          491
        </labl>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          492
        </labl>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          493
        </labl>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          494
        </labl>
      </catgry>
      <catgry>
        <catValu>
          495
        </catValu>
        <labl>
          495
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          496
        </labl>
      </catgry>
      <catgry>
        <catValu>
          497
        </catValu>
        <labl>
          497
        </labl>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          498
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          499
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Days - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Weeks - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Months - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Years - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V456" name="W_AGE1STSEX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age at first intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGE1STSEX (V525) indicates the woman's self-reported age for the first time she had sexual intercourse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not had intercourse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Refused to respond
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          At first union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V457" name="W_AGE1STSEXIMP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age at first intercourse (imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGE1STSEXIMP (V531) reports the respondent's age at first sexual intercourse.

This variable is the same as AGE1STSEX (V525), except for women who reported their first sexual intercourse was at the time of their union. For these women, the age at first sex is taken from the age at first union. In cases where the age at first sex was inconsistent with the age at conception of the first child, but only by one year, the age at first sex was reduced by one year.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Refused to respond
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V458" name="W_AGE1STSEXFLAG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag for age at first intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGE1STSEXFLAG (V532) is a flag variable reporting the type of inconsistency found when editing responses about when the respondent first had sexual intercourse.

Below are descriptions of each code:

0 = No flag
1 = Respondent reported age at first sexual intercourse that exceeds her current age (AGE (V012))
2 = Respondent reported her age at first sexual intercourse as occurring more than one year after the conception of her first child
3 = Respondent reported her age at first sexual intercourse as occurring up to one year after the conception of her first child
4 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but the respondent was never married (EVERMARRIED (V535))
5 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but her first marriage occurred after the conception of her first child
6 = Respondent reported her first sexual intercourse as being some time after her first marriage]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          After interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          After conception by 1 year or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          After conception by less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          At marriage, but never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          At marriage, but after conception
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          After marriage
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V459" name="W_SX1STPARAGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age of first sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women, SX1STPARAGE (V830) reports the age of the woman's first sexual partner.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V460" name="W_SX1STPARELAGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        First sexual partner younger, same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women, SX1STPARELAGE (V831) reports whether the woman's first sexual partner was younger, about the same age, or older than her.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V461" name="W_SX1STCULTURE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        First sex part of a cultural practice/ritual
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SX1STCULTURE indicates whether the woman's first sexual intercourse was part of a cultural practice or ritual.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/remember
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V462" name="W_SXPARLIFENO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Lifetime total number of sexual partners
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPARLIFENO (V836) reports the woman's lifetime total number of sex partners.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V463" name="W_SXCULTUREVER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever had sexual intercourse as part of a cultural practice/ritual
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women whose first sexual intercourse was not part of a cultural practice or ritual, SXCULTUREVER indicates whether the woman has ever had sexual intercourse as part of a cultural practice or ritual.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V464" name="W_NOSEXSTD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        When okay to refuse sex: Husband has STD
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NOSEXSTD (V633A) indicates whether the woman believes a wife is justified in refusing to have sex with her husband if she knows he has a sexually transmittable infection.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V465" name="W_CON1STSEX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Condom used at first sexual intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CON1STSEX (V820) indicates whether the young woman used a condom the first time she had sexual intercourse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know / don't remember
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V466" name="W_CONASKIFSTI" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Wife justified to ask condom use if husband has STI
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONASKIFSTI (V822) indicates whether the woman believes a wife is justified in asking her husband to use a condom if he has an infection or disease that can be transmitted through sexual intercourse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V467" name="W_CONTCHKIDS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Thinks children should be taught about condoms
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONTCHKIDS (V780) indicates whether the woman thinks children ages 12-14 should be taught about condoms to avoid getting AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V468" name="W_CONASKPAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman can ask partner to use condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONASKPAR (V850B) indicates whether the woman can ask her husband or cohabiting partner to use a condom.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/not sure/depends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V469" name="W_CONEVERYPAR1" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Used condom every time had sex with most recent partner, past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONEVERYPAR1 (V833A) indicates whether the woman used a condom every time she had sex with her most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V470" name="W_CONEVERYPAR2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Used condom every time had sex with 2nd most recent partner, past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONEVERYPAR2 (V833B) indicates whether the woman used a condom every time she had sex with her second most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V471" name="W_CONEVERYPAR3" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Used condom every time had sex with 3rd most recent partner, past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONEVERYPAR3 (V833C) indicates whether the woman used a condom every time she had sex with her third most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V472" name="W_CONUSMAN1" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Condom used during woman's most recent intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONUSMAN1 (V761) indicates whether the woman used a condom the last time she had sex with her most recent sex partner (from the last 12 months).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, male condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, female condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V473" name="W_CONUSMAN2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Condom used in woman's last intercourse with 2nd most recent partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONUSMAN2 (V761B) indicates whether the woman used a condom the last time she had sex with her second most recent sex partner (from the last 12 months).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, male condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, female condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V474" name="W_CONUSMAN3" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Condom used in woman's last intercourse with 3rd most recent partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONUSMAN3 (V761C) indicates whether the woman used a condom the last time she had sex with her third most recent sex partner (from the last 12 months).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, male condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, female condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V475" name="W_CONFCAN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Could get herself: Female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONFCAN (V769A) indicates whether the woman can get a female condom for herself.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V476" name="W_CONMCAN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Could get herself: Male condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONMCAN (V769) indicates whether the woman can get a male condom for herself.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V477" name="W_HCMDK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Do not know a source for male condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMDK (V762AZ) indicates whether the woman did not know a source to obtain male condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, respondent knows a source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, do not know a source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V478" name="W_HCMPUBHOS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBHOS (V762AA) indicates whether the woman reported a "government hospital" as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPUBHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V479" name="W_HCMPUBHC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Public health center/post
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBHC (V762AB) indicates whether the woman reported a public health center or health post as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as HCMPUBHC, while preserving the separate responses in country-specific variables.

Due to variability in response category wording, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V480" name="W_HCMPUBMOB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mobile clinic (public)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBMOB (V762AD) indicates whether the woman reported a "public mobile clinic" as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPRIVMOB (private mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V481" name="W_HCMPUBFW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBFW (V762AE) indicates whether the woman reported a public fieldworker as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public field workers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPUBFW.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V482" name="W_HCMPUBOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Other public source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBOTH (V762AF) indicates whether the woman reported some other public facility as a source for male condoms. The meaning of "other" depends on the sources for male condoms specified in a given sample.

See HCMPRIVOTH (other private medical sector) and HCMOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V483" name="W_HCMPRIVHOS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private hospital, clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVHOS (V762AJ) indicates whether the woman reported a "private hospital/clinic" as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private hospitals/clinics that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V484" name="W_HCMPRIVDRUG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private pharmacy, drug store, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVDRUG (V762AK) indicates whether the woman reported a private pharmacy, drug store, or dispensary as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private, formal drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVDRUG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V485" name="W_HCMPRIVMOB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVMOB (V762AM) indicates whether the woman reported a "private mobile clinic" as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPUBMOB (public mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V486" name="W_HCMPRIVFW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVFW (V762AN) indicates whether the woman reported a private fieldworker as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private fieldworkers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVFW.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V487" name="W_HCMPRIVFPC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Family planning clinic (private)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVFPC indicates whether the woman reported a private family planning clinic or association as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPUBFPC (public family planning clinic or association).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V488" name="W_HCMPRIVMIS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Religious/mission hospital, health center, clinic, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVMIS indicates whether the woman reported a faith-based health facility as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVMIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V489" name="W_HCMPRIVOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Other private source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVOTH indicates whether the woman reported some other private medical facility or organization as a source for male condoms. The meaning of "other" depends on the sources for male condoms specified in a given sample.

See HCMPUBOTH (other public medical sector) and HCMOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V490" name="W_HCMSHOP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Shop (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMSHOP (V762AS) indicates whether the woman reported a "shop" as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMSHOP.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V491" name="W_HCMCHURCH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Church (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMCHURCH (V762AT) indicates whether the woman reported a "church" or "religious institution" (for example mosques and temples) as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPRIVMIS (faith-based health facility).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V492" name="W_HCMFRND" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Friends/relatives (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMFRND (V762AU) indicates whether the woman reported "friends, acquaintances or relatives" as a source for male condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V493" name="W_HCMOTHER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMOTHER (V762AX) indicates whether the woman reported some other (non-public or not private medical sector) facility as a source for male condoms.  The meaning of "other" depends on the sources for male condoms specified in a given sample.

See HCMPUBOTH (other public medical sector) and HCMPRIVOTH (other private medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V494" name="W_HCFDK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Do not know a source for female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFDK (V762BZ) indicates whether the woman did not know a source to obtain female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, knows a source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, don't know source for female condoms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V495" name="W_HCFPUBHOS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBHOS (V762BA) indicates whether the woman reported a public hospital as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFPUBHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V496" name="W_HCFPUBHC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Public health center/post
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBHC (V762BB) indicates whether the woman reported a public health center or post as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as HCFPUBHC, while preserving the separate responses in country-specific variables. See the Comparability section and Survey Text tab for more details.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V497" name="W_HCFPUBMOB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mobile clinic (public)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFPUBMOB (V762BD) indicates whether the woman reported a public "mobile clinic" as a source for female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V498" name="W_HCFPUBFW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBFW (V762BE) indicates whether the woman reported a "public field worker" or "community-based distributor" as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as HCFPUBFW, while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V499" name="W_HCFPUBOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Other public source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBOTH (V762BF) indicates whether the woman reported some other public facility as a source for female condoms.

See HCFPRIVOTH (other private medical sector) and HCFOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V500" name="W_HCFPRIVHOS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private hospital, clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVHOS (V762BJ) indicates whether the woman reported a private hospital or clinic as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V501" name="W_HCFPRIVDRUG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private pharmacy, drug store, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVDRUG (V762BK) indicates whether the woman reported a private pharmacy, drug store, or dispensary as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private, formal drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFPRIVDRUG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V502" name="W_HCFPRIVMOB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFPRIVMOB (V762BM) indicates whether the woman reported a "private mobile clinic" as a source for female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V503" name="W_HCFPRIVFW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVFW (V762BN) indicates whether the woman reported a "private field worker" or private/NGO "community-based distributor" as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V504" name="W_HCFPRIVMIS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Religious/mission hospital, health center, clinic, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVMIS indicates whether the woman reported a mission or religious health facility as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFPRIVMIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V505" name="W_HCFPRIVOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Other private source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVOTH (V762BO) indicates whether the woman reported some other private facility as a source for female condoms.

See HCFPUBOTH (other public medical sector) and HCFOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V506" name="W_HCFSHOP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Shop (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFSHOP (V762BS) indicates whether the woman reported a "shop" as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFSHOP.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V507" name="W_HCFCHURCH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Church (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFCHURCH (V762BT) indicates whether the woman reported a "church" or "religious institution" (for example, mosques and temples) as a source for female condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCFPRIVMIS (faith-based health facility).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V508" name="W_HCFFRND" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Friends/relatives (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFFRND (V762BU) indicates whether the woman reported "friends or relatives" as a source for female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V509" name="W_HCFOTHER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFOTHER (V762BX) indicates whether the woman reported some other (non-public or not private medical sector) place as a source for female condoms. The meaning of "other" depends on the specific sources for female condoms identified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V510" name="W_HCFMW2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW2 indicates whether the woman reported a "mission health center" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW2 is combined with HCFMW3 (mission hospital), HCFMW4 (mission mobile clinic), and HCFMW9 (mission door-to-door) in HCFPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. 

Additionally, HCFMW2 is combined with HCFMW3 and HCFMW4 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCFMW2 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V511" name="W_HCFMW3" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW3 indicates whether the woman reported a "mission hospital" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW3 is combined with HCFMW2 (mission health center), HCFMW4 (mission mobile clinic), and HCFMW9 (mission door-to-door) in HCFPRIVMIS (all faith-based facilities) for the 2010 Malawi sample.

Additionally, HCFMW3 is combined with HCFMW2 and HCFMW4 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCFMW3 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V512" name="W_HCFMW4" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission mobile clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW4 indicates whether the woman reported a "mission mobile clinic" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW4 is combined with HCFMW2 (mission health center), HCFMW3 (mission hospital), and HCFMW9 (mission door-to-door) in HCFPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. 

Additionally, HCFMW4 is combined with HCFMW2 and HCFMW3 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCFMW4 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V513" name="W_HCFMW6" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Health Surveillance Assistant (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW6 indicates whether the woman reported a "health surveillance assistant (HSA)" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW6 is combined with HCFMW8 (CBDA/door-to-door) in HCFPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCFMW6 are encouraged to review HCFPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V514" name="W_HCFMW7" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Youth drop-in center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFMW7 indicates whether the woman reported a "youth drop-in center" as a source for female condoms. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V515" name="W_HCFMW8" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: CBDA/Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW8 indicates whether the woman reported a "CBDA [community-based distribution agent/door-to-door" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW8 is combined with HCFMW6 (HSA) in HCFPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCFMW6 are encouraged to review HCFPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V516" name="W_HCFMW9" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission door to door (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW9 indicates whether the woman reported a "mission door-to-door" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW9 is combined with HCFMW2 (mission health center), HCFMW3 (mission hospital), and HCFMW4 (mission mobile clinic) in HCFPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCFMW9 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V517" name="W_HCMMW1" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW1 indicates whether the woman reported a "mission hospital" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW1 is combined with HCMMW2 (mission health center), HCMMW3 (mission mobile clinic), and HCMMW9 (mission door-to-door) in HCMPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. 

Additionally, HCMMW1 is combined with HCMMW2 and HCMMW3 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCMMW1 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V518" name="W_HCMMW2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW2 indicates whether the woman reported a "mission health center" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW2 is combined with HCMMW1 (mission hospital), HCMMW3 (mission mobile clinic), and HCMMW9 (mission door-to-door) in HCMPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample.

Additionally, HCMMW2 is combined with HCMMW1 and HCMMW3 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCMMW2 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V519" name="W_HCMMW3" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission mobile clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW3 indicates whether the woman reported a "mission mobile clinic" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW3 is combined with HCMMW1 (mission hospital), HCMMW2 (mission health center), and HCMMW9 (mission door-to-door) in HCMPRIVMIS (all faith-based facilities) for the 2010 Malawi sample.

Additionally, HCMMW3 is combined with HCMMW1 and HCMMW2 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCMMW3 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V520" name="W_HCMMW5" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Government health post/outreach (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMMW5 indicates whether the woman reported a "government health post or outreach" as a source for male condoms. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V521" name="W_HCMMW6" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Health Surveillance Assistant (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW6 indicates whether the woman reported a "health surveillance assistant (HSA)" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW6 is combined with HCMMW8 (CBDA/door-to-door) in HCMPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCMMW6 are encouraged to review HCMPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V522" name="W_HCMMW7" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Youth drop-in center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMMW7 indicates whether the woman reported a "youth drop-in center" as a source for male condoms. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V523" name="W_HCMMW8" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: CBDA/Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW8 indicates whether the woman reported a "CBDA [community-based distribution agent/door-to-door" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW8 is combined with HCMMW6 (HSA) in HCMPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCMMW6 are encouraged to review HCMPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V524" name="W_HCMMW9" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission door to door (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW9 indicates whether the woman reported a "mission door-to-door" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW9 is combined with HCMMW1 (mission hospital), HCMMW2 (mission health center), and HCMMW3 (mission mobile clinic) in HCMPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCMMW9 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V525" name="W_STIHEARD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard of AIDS or other sexually transmitted infections
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STIHEARD (V750) indicates whether the woman had heard of AIDS or any other sexually transmitted infection (STI).

For a variable that indicates whether the respondent had heard of STIs other than AIDS, see STIHEARDOTH (V785). For a variable that indicates whether the respondent had heard of AIDS specifically, see AIDSHEARD (V751).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V526" name="W_STIHEARDOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard about other STDs
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STIHEARDOTH (V785) indicates whether the woman has heard of any sexually transmitted infection other than AIDS.

For a variable that records whether the respondent has heard of AIDS or any other STIs, see STIHEARD (V750).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V527" name="W_STIANYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Had any sexually transmitted infection in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        STIANYR (V763A) indicates whether the woman had any sexually transmitted infection in the last 12 months. How this information was collected changed over time. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V528" name="W_STIDISCHGYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Had genital discharge in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        STIDISCHGYR (V763C) indicates whether the woman had any bad smelling abnormal genital discharge in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V529" name="W_STISOREYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Had genital ulcer/sore in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        STISOREYR (V763B) indicates whether the woman had a sore or genital ulcer in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V530" name="W_STIADVICE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought advice for last STI
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had a sexually-transmitted infection (STI), abnormal genital discharge, or genital sore/ulcer in the past 12 months, STIADVICE (V770) indicates whether they sought advice or treatment for this problem.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V531" name="W_STIADPUBHOS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBHOS indicates whether, in response to an open-ended question, they repeated seeking advice or treatment from a public hospital for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in STIADPUBHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V532" name="W_STIADPUBHC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBHC indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public hospital for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in STIADPUBHC.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V533" name="W_STIADPUBFW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Public fieldworker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBFW indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public fieldworker for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

IPUMS-DHS users should be careful to distinguish this variable from STIADPRIVFW (private fieldworker).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V534" name="W_STIADPUBHP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Public health post
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBHP indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public health post for this problem. 

IPUMS-DHS users should be careful to distinguish this variable from STIADHPDISP, a standard variable indicating whether the woman sought advice from a health post or a dispensary.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V535" name="W_STIADPUBOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Other public
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBOTH indicates whether, in response to an open-ended question, they reported seeking advice or treatment from some "other" public medical facility for this problem. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from STIADPRIVOTH ("other" under the private medical sector) and STIADOTHER ("other" not under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V536" name="W_STIADPRIVHOS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Private hospital/clinic/doctor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPRIVHOS indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a private hospital, clinic, or doctor for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V537" name="W_STIADPRIVMIS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Religious/mission hospital, health center, or clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPRIVMIS indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a faith-based health facility for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in STIADPRIVMIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V538" name="W_STIADPRIVOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Other private medical
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPRIVOTH indicates whether, in response to an open-ended question, they reported seeking advice or treatment from some "other" private medical facility for this problem. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from STIADPUBOTH ("other" under the public medical sector) and STIADOTHER ("other" that is not under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V539" name="W_STIADOTHER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADOTHER indicates whether, in response to an open-ended question, they reported seeking advice or treatment from some "other" source for this problem. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from STIADPUBOTH ("other" under the public medical sector) and STIADPRIVOTH ("other" under the private medical sector). STIADOTHER includes those "other" categories that do not fit into the public or private medical sector.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V540" name="W_STIADMW1" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Private hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW1 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a private hospital/clinic/doctor for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW1 is combined with STIADMW2 (private company hospital/clinic) in STIADPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW1 are encouraged to review STIADPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V541" name="W_STIADMW2" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Private company hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW2 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a private company hospital/clinic for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW2 is combined with STIADMW1 (private hospital/clinic/doctor) in STIADPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW2 are encouraged to review STIADPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V542" name="W_STIADMW3" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW3 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public "door to door" for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW3 is combined with STIADMW4 (public health surveillance assistant (HSA)) in STIADPUBFW (all public field workers) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW3 are encouraged to review STIADPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V543" name="W_STIADMW4" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Health surveillance assistant (HSA) (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW4 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public health surveillance assistant (HSA) for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW4 is combined with STIADMW3 (public "door to door") in STIADPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW4 are encouraged to review STIADPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V544" name="W_STIADMW5" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW5 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a religious hospital for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW5 is combined with STIADMW6 (religious health center) in STIADPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW5 are encouraged to review STIADPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V545" name="W_STIADMW6" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW6 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a religious health center for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW6 is combined with STIADMW5 (religious hospital) in STIADPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW6 are encouraged to review STIADPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V546" name="W_STIADMW7" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: MACRO (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW7 indicates whether, in response to an open-ended question they reported seeking advice or treatment from MACRO [Malawi AIDS Counseling and Resource Organization] for this problem. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V547" name="W_DVAARGUE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman argues with him
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAARGUE (V744C) indicates whether the woman believes a husband is justified in hitting or beating his wife if she argues with him.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V548" name="W_DVABURNFOOD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman burns food
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVABURNFOOD (V744E) indicates whether the woman believes a husband is justified in hitting or beating his wife if she burns the food.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V549" name="W_DVAGOOUT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman goes out without telling him
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAGOOUT (V744A) indicates whether the woman believes a husband is justified in hitting or beating his wife if she goes out without telling him.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V550" name="W_DVAIFNOSEX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman refused to have sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAIFNOSEX (V744D) indicates whether the woman believes a husband is justified in hitting or beating his wife if she refuses to have sex with him.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V551" name="W_DVANEGKID" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman neglects the children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVANEGKID (V744B) indicates whether the woman believes a husband is justified in hitting or beating his wife if she neglects the children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V552" name="W_DVAPRESHUSB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Husband present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DVAPRESHUSB (V812) indicates whether the woman's husband or partner was present when survey questions regarding the woman's attitudes on wife-beating were asked. 
This variable relates to the interviewer's observation and is not asked of the woman directly.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V553" name="W_DVAPRESOMALE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other males present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAPRESOMALE (V813) indicates whether a male who is not the woman's husband or partner was present when survey questions regarding the woman's attitudes on wife-beating were asked. This variable relates to the interviewer's observation and is not asked of the woman directly.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V554" name="W_DVAPRESOFEM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other females present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAPRESOFEM (V814) indicates whether another female was present when survey questions regarding the woman's attitudes on wife-beating were asked. This variable relates to the interviewer's observation and is not asked of the woman directly.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V555" name="W_DVAPRESKIDS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Children present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAPRESKIDS (V811) indicates whether any children under the age of ten were present when survey questions regarding the woman's attitudes on wife-beating were asked. This variable relates to the interviewer's observation and is not asked of the woman directly.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V556" name="W_DVCCHEAT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Husband accuses her of unfaithfulness
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCCHEAT (D101B) indicates whether their husband frequently accused them of being unfaithful.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, accuses her of unfaithfulness
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V557" name="W_DVCFAMILY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Husband tries to limit her contact with family
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCFAMILY (D101D) indicates whether their husband tried to limit their contact with family.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, limits contact with her family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V558" name="W_DVCJEALOUS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Husband jealous if talking with other men
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCJEALOUS (D101A) indicates whether their husband was jealous or angry when they talked to other men.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, jealous if she talks to men
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V559" name="W_DVCLOCATION" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Husband insists on knowing where she is
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCLOCATION (D101E) indicates whether their husband insisted on knowing where they were at all times.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, insists on knowing where she is
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V560" name="W_DVCMEETFRND" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Husband does not permit her to meet her girlfriends
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCMEETFRND (D101C) indicates whether their husband did not allow them to meet their female friends.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, doesn't let her meet girlfriends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V561" name="W_DVCMONEY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Husband doesn't trust her with money
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCMONEY (D101F) indicates whether their husband didn't trust them with money.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, husband doesn't trust her with money
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V562" name="W_DVCTOTAL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of control issues
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCTOTAL (D102) reports the total number of control issues exhibited by their husband. Control issues include jealousy, limitations on contact with family and friends, accusations of cheating, insistence upon always knowing a woman's location, and, often, distrust with money.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V563" name="W_DVEEVER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever any emotional violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEEVER (D104) indicates whether they ever experienced any emotional violence from their husband/partner. Emotional violence includes humiliation, insults, and threats of harm.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V564" name="W_DVEHUMIL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever humiliated her
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEHUMIL (D103A) indicates whether their husband/partner had ever said or done something to humiliate them in front of others.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V565" name="W_DVEHUMILFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency of humiliation
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEHUMILFQ reports how often their husband/partner said or did something to humiliate them in front of others in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not humiliated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, ever humiliated, know frequency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, but not at all in the last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V566" name="W_DVEINSULT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever insulted or made feel bad
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEINSULT (D103C) indicates whether their husband/partner ever insulted them or made them feel bad about themselves.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V567" name="W_DVEINSULTFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency of insults or making feel bad
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEINSULTFQ reports how often the female respondent's husband/partner had insulted her or made her feel bad about herself in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not insulted/made feel bad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, but timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, ever insulted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V568" name="W_DVETHREAT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever threatened with harm
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVETHREAT (D103B) indicates whether their husband/partner ever threatened to hurt them or harm someone close to them.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V569" name="W_DVETHREATFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency of threats of harm in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married, DVETHREATFQ reports how often the respondent's husband/partner had threatened to hurt or harm her or someone close to her in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not threatened
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, ever threatened
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, but not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V570" name="W_DVPAHITMA" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Did her father ever beat her mother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVPAHITMA (D121) indicates whether the woman's father ever beat her mother.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, father did not hit mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, father hit mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V571" name="W_DVPPUSH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever pushed, shook, or threw something
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUSH (D105A) indicates whether her husband/partner ever pushed her, shook her, or threw something at her.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V572" name="W_DVPPUSHFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency spouse pushed, shook, or threw something
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUSHFQ reports how often the woman had been pushed, shaken, or had something thrown at her by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not pushed or shaken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever pushed or shaken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V573" name="W_DVPSLAP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever slapped
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSLAP (D105B) indicates whether the woman's husband/partner ever slapped her.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V574" name="W_DVPSLAPFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency slapped by partner, last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSLAPFQ reports how often the woman was slapped by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not ever slapped
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever slapped
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V575" name="W_DVPTWIST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever twisted her arm or pulled her hair
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPTWIST (D105J) indicates whether the woman's husband/partner ever twisted her arm or pulled her hair.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V576" name="W_DVPTWISTFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency arm twisted or hair pulled by partner in last 12 month
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPTWISTFQ reports how often the woman's arm was twisted or her hair was pulled by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never had arm twisted or hair pulled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever arm twisted or hair pulled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V577" name="W_DVPPUNCH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever punched with fist or something harmful
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUNCH (D105C) indicates whether the woman's husband/partner ever punched her with a fist or with something that could hurt her.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V578" name="W_DVPPUNCHFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency of being punched or hit with object
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUNCHFQ reports how often the woman was punched by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not punched
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever punched, know frequency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V579" name="W_DVPCHOKE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever tried to strangle or burn
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and ever married or lived with a man, DVPCHOKE (D105E) indicates whether the husband/partner ever tried to strangle or burn her on purpose.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V580" name="W_DVPCHOKEFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency of husband's attempts to strangle or burn
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPCHOKEFQ reports how often the woman's husband/partner attempted to strangle or burn her in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not attempted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, husband ever tried to strangle or burn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V581" name="W_DVPKICK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever kicked or dragged
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKICK (D105D) indicates whether the woman's husband/partner had ever kicked her, dragged her, or beaten her up.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V582" name="W_DVPKICKFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency of being kicked or dragged
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKICKFQ reports how often the woman was kicked or dragged by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not kicked or dragged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever kicked or dragged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V583" name="W_DVPKNFTHUSE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever threatened or attacked with knife/gun
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKNFTHUSE (D105F) indicates whether the woman's husband/partner ever threatened or attacked her with a knife, gun, or other weapon.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V584" name="W_DVPKNFTHUSEF" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency of spouse's threats or attacks with knife/gun
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKNFTHUSEF reports how often the woman was threatened or attacked with a knife, gun, or other weapon by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not threatened or attacked with weapon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever threatened or attacked
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V585" name="W_DVP1STTIME" files="F1" dcml="0" intrvl="discrete">
      <labl>
        First time violence happened, in years after marriage
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and experienced physical or sexual violence from their husband/partner, DVP1STTIME (D109) reports how long after marriage/cohabitation the abuse first happened.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Before union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          After separation/divorce
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V586" name="W_DVPMSEVER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever experienced any severe violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPMSEVER (D107) indicates whether the woman ever experienced "more severe" violence from her husband/partner. The specific acts that are considered "more severe" vary across samples. See the "Comparability" tab for more information.

The complementary variable DVPLSEVER indicates a woman's experience with "less severe" violence from a husband or partner.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V587" name="W_DVPLSEVER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever experienced any less severe violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPLSEVER (D106) indicates whether the woman ever experienced "less severe" violence from her husband/partner. The specific acts that are considered "less severe" vary across samples. See the "Comparability" tab for more information.

The complementary variable DVPMSEVER indicates the woman's experience with "more severe" violence from a husband or partner.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V588" name="W_DVRBRUISE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever had bruises because of husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence from their husband/partner, DVRBRUISE (D110A) indicates whether the woman ever had bruises or aches because of her husband/partner's actions.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V589" name="W_DVRINJURY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever had injury, sprain, or burns from husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual violence from their husband/partner, DVRINJURY (D110B) indicates whether, because of her husband's/partner's actions, the woman ever suffered some "other" injury not covered by the complementary variable DVRSERINJURY (D110D).

The particular injuries covered by DVRINJURY vary across samples. Please consult the "Comparability" tab for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V590" name="W_DVRSERINJURY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever had wounds, broken bones/teeth from husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence from their husband/partner, DVRSERINJURY (D110D) indicates whether the woman ever suffered serious injury--such as deep wounds, broken bones, or broken teeth--because of her husband/partner's actions.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V591" name="W_DVRANY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Any physical results of husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence from their husband/partner, DVRANY (D111) indicates whether the woman ever had any physical results of her husband/partner's actions. The specific results vary across samples. See the "Comparability" tab for more information.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V592" name="W_DVPSEX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever physically forced sex when not wanted
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEX (D105H) indicates whether the woman's husband/partner ever physically forced her to have sexual intercourse even when she did not want to.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V593" name="W_DVPSEXFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency spouse physically forced sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXFQ reports how often the woman was forced to have sexual intercourse by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not physically forced sexually
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever forced sexually
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V594" name="W_DVPSEXOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever forced other sexual acts when not wanted
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXOTH (D105I) indicates whether the woman's husband/partner ever forced her to perform any sexual acts she did not want to.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V595" name="W_DVPSEXOTHFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency spouse forced other sex act
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXOTHFQ reports how often the woman was forced to perform sex acts by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not physically forced other sex act
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever forced other sex act
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V596" name="W_DVPSEXEVER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever experienced any sexual violence from partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXEVER (D108) indicates whether the woman ever experienced any sexual violence from her husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V597" name="W_DVDRINKS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Partner drinks alcohol
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVDRINKS (D113) indicates whether their husband/partner drank alcohol.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V598" name="W_DVDRINKSFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency partner gets drunk
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had a husband/partner who drank alcohol, DVDRINKSFQ (D114) reports how often their husband/partner got drunk.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sometimes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Often
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V599" name="W_DVHITHUSB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever physically hurt husband when he was not hurting her
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVHITHUSB (D112) indicates whether they ever physically hurt their husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V600" name="W_DVHITHUSBFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        How often physically hurt husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and ever physically hurt their husband/partner, DVHITHUSBFQ (D112A) reports how often she physically hurt him in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sometimes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Often
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yes, but frequency and timing unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V601" name="W_DVINTERRHUS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Interview interruption due to presence of adult: Other Husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVINTERRHUS (D122A) indicates whether the domestic violence interview was interrupted due to the presence of the female respondent's husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V602" name="W_DVINTERRMALE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Interview interruption due to presence of adult: Other male
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVINTERRMALE (D122B) indicates whether the domestic violence interview was interrupted due to the presence of an adult male other than the woman's own husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V603" name="W_DVINTERRFEM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Interview interruption due to presence of adult: Other female
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVINTERRFEM (D122C) indicates whether the domestic violence interview was interrupted due to the presence of another adult female.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V604" name="W_DV1SEXFORCED" files="F1" dcml="0" intrvl="discrete">
      <labl>
        First intercourse was forced or wanted
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DV1SEXFORCED (D123) indicates whether the respondent's first sexual intercourse was wanted or forced.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Wanted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused to answer/no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V605" name="W_DV1SEXACTWHO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Person who forced woman to first sexual activity
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been forced sexually, DV1SEXACTWHO (D127) reports who forced them to have sexual intercourse or perform other sexual acts the first time.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Husband/partner/boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Current husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Former husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Current/former boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Parent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Father or step-father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Step-father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Father-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Relative other than parent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Brother/step brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Step-brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          In-law, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Grandfather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Other relative, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Own friend/acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Family friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other role
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Teacher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Employer/someone at work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Neighbor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Police/soldier
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Priest/religious leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Stranger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Landlord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V606" name="W_DV1SEXACTAGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Age at first forced sexual activity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been forced sexually, DV1SEXACTAGE (D126) reports the respondent's age at the time they were first forced to have sexual intercourse or perform other sexual acts.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don’t know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V607" name="W_DVSEXFORCYR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Anyone other than partner forced sex in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVSEXFORCYR (D124) indicates whether anyone other than her husband or partner had forced the woman to have sexual intercourse in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused to answer/no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V608" name="W_DVSEXACTSEV" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Anyone ever forced woman to perform sex acts
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVSEXACTSEV (D125) indicates whether anyone had ever forced the woman in any way to have sexual intercourse or perform other sexual acts.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused to answer/no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V609" name="W_DVPREGANY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Hurt by any person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGANY (D118Y) indicates whether they had been physically hurt by anyone during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, not hurt during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by anyone during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V610" name="W_DVPREGHUSB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGHUSB (D118A) indicates whether they had been physically hurt by their current husband or partner during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by husband during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V611" name="W_DVPREGEXPART" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Former partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGEXPART (D118J) indicates whether they had been physically hurt by their former husband/partner during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former partner during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V612" name="W_DVPREGBFNOW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Current boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGBFNOW (D118K) indicates whether they had been physically hurt by their current boyfriend during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by current boyfriend during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V613" name="W_DVPREGBFEX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Former boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGBFEX (D118L) indicates whether they had been physically hurt by their former boyfriend during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former boyfriend during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V614" name="W_DVPREGMA" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Mother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMA (D118B) indicates whether they had been physically hurt by their mother during their pregnancy. 

For a variable that combines "mother" and "step-mother" response categories in this series for some samples, see DVPREGMABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V615" name="W_DVPREGMASTEP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Stepmother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMASTEP (D118M) indicates whether they had been physically hurt by their step-mother during their pregnancy.

For a variable that combines "mother" and "step-mother" response categories in this series for some samples, see DVPREGMABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-mother during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V616" name="W_DVPREGMALAW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Mother-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMALAW (D118O) indicates whether they had been physically hurt by their mother-in-law during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother-in-law during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V617" name="W_DVPREGPA" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Father
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPA (D118C) indicates whether they had been physically hurt by their father during their pregnancy. 

For a variable that combines "father" and "step-father" response categories in this series for some samples, see DVPREGPABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V618" name="W_DVPREGPASTEP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Stepfather
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPASTEP (D118N) indicates whether they had been physically hurt by their step-father during their pregnancy. 

For a variable that combines "father" and "step-father" response categories in this series for some samples, see DVPREGPABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-father during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V619" name="W_DVPREGPALAW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Father-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPALAW (D118P) indicates whether they had been physically hurt by their father-in-law during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father-in-law during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V620" name="W_DVPREGSIBL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Brother or sister
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGSIBL (D118F) indicates whether they had been physically hurt by their sister or brother during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by sister or brother during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V621" name="W_DVPREGCHILD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Daughter or son
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGCHILD (D118D) indicates whether they had been physically hurt by their daughter or son during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by daughter or son during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V622" name="W_DVPREGOTHFAM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Other relative
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGOTHFAM (D118G) indicates whether they had been physically hurt by some other relative during their pregnancy. The meaning of "other" relative depends on the types of relatives specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other relative during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V623" name="W_DVPREGOTHLAW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Other in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGOTHLAW (D118Q) indicates whether they had been physically hurt by some other in-law during their pregnancy. The meaning of "other" in-law depends on the categories of in-laws specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other in-law during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V624" name="W_DVPREGBOSS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Employer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGBOSS (D118W) indicates whether they had been physically hurt by their employer during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by employer during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V625" name="W_DVPREGPOL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Police
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPOL (D118XE) indicates whether they had been physically hurt by a police officer or soldier during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by police during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V626" name="W_DVPREGMED" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Medical personnel
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMED (D118XI) indicates whether they had been physically hurt by medical personnel during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by medical personnel during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V627" name="W_DVPREGTCH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Teacher
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGTCH (D118V) indicates whether they had been physically hurt by a teacher (gender unspecified) during a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by teacher during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V628" name="W_DVPREGOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Other person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGOTH (D118X) indicates whether they had been physically hurt by some other person during their pregnancy. The meaning of "other" depends on the specific categories included in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other person during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V629" name="W_DVOANY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physically hurt by anyone other than husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOANY (D115Y) indicates whether anyone other than the woman's husband/partner had slapped, hit, kicked, or otherwise physically hurt her since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused / no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V630" name="W_DVOFQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Frequency hit by other than partner in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were physically attacked by someone other than their husband/partner since age 15, DVOFQ (D117A) reports the frequency of such attacks in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Does occur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Seldom/once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Often
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Widowed/separated/divorced, no info
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V631" name="W_DVOEXPART" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Former partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOEXPART (D115J) indicates whether they had been physically hurt by their former, but not most recent, husband/partner since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V632" name="W_DVOBFNOW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Current boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOBFNOW (D115K) indicates whether they had been physically hurt by their current boyfriend since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by current boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V633" name="W_DVOBFPAST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Former boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOBFPAST (D115L) indicates whether they had been physically hurt by their former boyfriend since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V634" name="W_DVOMA" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Mother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOMA (D115B) indicates whether they had been physically hurt by their mother since age 15. 

See DVOMABOTH for a variable that combines "mother" and "step-mother" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V635" name="W_DVOMASTEP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Stepmother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOMASTEP (D115M) indicates whether they had been physically hurt by their stepmother since age 15. 

See DVOMABOTH for a variable that combines "step-mother" and "mother" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V636" name="W_DVOMALAW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Mother-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOMALAW (D115B) indicates whether they had been physically hurt by their mother-in-law since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V637" name="W_DVOPA" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Father
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOPA (D115C) indicates whether they had been physically hurt by their father since age 15. 

See DVOPABOTH for a variable that combines "father" and "step-father" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V638" name="W_DVOPASTEP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Stepfather
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOPASTEP (D115N) indicates whether they had been physically hurt by their stepfather since age 15. 

See DVOPABOTH for a variable that combines "step-father" and "father" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V639" name="W_DVOPALAW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Father-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOPALAW (D115P) indicates whether they had been physically hurt by their father-in-law since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V640" name="W_DVOSIBL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Brother or sister
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOSIBL (D115F) indicates whether they had been physically hurt by their brother or sister since age 15. 

For samples with this series that separate brother and sister responses, see variables DVOBRO and DVOSIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by sister or brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V641" name="W_DVOCHILD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Daughter or son
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOCHILD (D115D) indicates whether they had been physically hurt by their daughter or son since age 15. 

For samples with this series that separate whether the respondent was hurt by their daughter or son, see variables DVODAU and DVOSON (D115E).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by daughter or son
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V642" name="W_DVOTHFAM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Other relative
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOTHFAM (D115G) indicates whether they had been physically hurt by some other relative since age 15. The meaning of "other" relative depends on the categories of relatives specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V643" name="W_DVOTHLAW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Other in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOTHLAW (D115Q) indicates whether they had been physically hurt by some other in-law since age 15. The meaning of "other" in-law depends on the types of in-laws specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V644" name="W_DVOBOSS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Employer or someone at work
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOBOSS (D115W) indicates whether they had been physically hurt by their employer or someone at work since age 15. The related variables DVOBOSSM and DVOBOSSF address physical abuse from a male and female employer, respectively.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by employer or someone at work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V645" name="W_DVOPOL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Police
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOPOL (D115XE) indicates whether they had been physically hurt by a police officer or soldier since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by police
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V646" name="W_DVOTCH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Teacher
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOTCH (D115V) indicates whether they had been physically hurt by a teacher (gender unspecified) since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by teacher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V647" name="W_DVOOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Some other person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOOTH (D115X) indicates whether they had been physically hurt by some other person since age 15. The meaning of "other" depends on the specific categories included in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V648" name="W_DVHANY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: No one
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHANY (D119Y) indicates whether they sought help from anyone to stop such abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, did not seek help from anyone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from someone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V649" name="W_DVHHUSPART" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Current/former husband/partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHHUSPART (D119J) indicates whether they sought help from their current/last/late husband or partner to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from current/former husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V650" name="W_DVHBF" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Current/former boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHBF (D119K) indicates whether they sought help from their boyfriend to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from current/former boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V651" name="W_DVHFAMOWN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Own family
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHFAMOWN (D119H) indicates whether they sought help from their own family to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from own family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V652" name="W_DVHFAMPART" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Partner's family
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHFAMPART (D119I) indicates whether they sought help from their husband's or partner's family to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from partner's family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V653" name="W_DVHFRND" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Friend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHFRND (D119XD) indicates whether they sought help from a friend (gender not specified) to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V654" name="W_DVHNHBR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Neighbor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHNHBR indicates whether they sought help from a neighbor to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from neighbor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V655" name="W_DVHDOCTOR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Doctor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHDOCTOR (D119XH) indicates whether they sought help from a doctor or other medical personnel to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V656" name="W_DVHLAWYER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Lawyer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHLAWYER (D119XG) indicates whether they sought help from a lawyer to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from lawyer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V657" name="W_DVHPOL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Police
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHPOL (D119XE) indicates whether they sought help from the police to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from police
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V658" name="W_DVHCOMLEAD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Community leader
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHCOMLEAD (D119XC) indicates whether they sought help from a community leader to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from community leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V659" name="W_DVHCLERGY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Religious leader
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHCLERGY (D119XF) indicates whether they sought help from a religious leader to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from religious leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V660" name="W_DVHTRADLEAD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Traditional leader
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHTRADLEAD indicates whether they sought help from a traditional authority (such as a chief) to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from traditional leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V661" name="W_DVHBOSS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Employer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHBOSS (D119W) indicates whether they sought help from their employer to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V662" name="W_DVHSSO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Social service association
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHSSO (D119XB) indicates whether they sought help from a social service organization to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from social service organization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V663" name="W_DVHOTHER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Other person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHOTHER (D119X) indicates whether they sought help from some other person to stop that abuse. The meaning of "other" depends on the specific categories identified for help-seeking in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from other person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V664" name="W_DVTOLD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told anyone else about violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence without seeking help, DVTOLD (D128) indicates whether the woman ever told anyone other than the interviewer about that violence.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V665" name="W_BEDNETSLEPT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman slept under bednet last night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDNETSLEPT (V461) indicates whether the respondent slept under a mosquito bed net the previous night.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, treated bednet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, untreated bednet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V666" name="W_TBEVHEARD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard of TB
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBEVHEARD (V474) indicates whether the woman has ever heard of tuberculosis.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V667" name="W_TBCURABLE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Believes TB can be cured
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBCURABLE (V475) indicates whether the woman believes tuberculosis can be cured.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V668" name="W_TBFAMSECRET" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Would keep TB in family secret
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBFAMSECRET (V476) reports the woman's response to a hypothetical question about whether "if a member of your family got tuberculosis, would you want it to remain a secret?"
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V669" name="W_TBDIAGPRO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Diagnosed with TB by provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBDIAGPRO indicates whether the woman was ever told by a doctor or other healthcare professional that she had tuberculosis.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        TB experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V670" name="W_TBDIAGWHEN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        When diagnosed with TB by provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women ever diagnosed with tuberculosis by a health care professional, TBDIAGWHEN reports how many years ago the diagnosis was made.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 1 year ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1 to 5 years ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          More than 5 years ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        TB experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V671" name="W_TBSPREDSNEZ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Coughing or sneezing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDSNEZ (V474A) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through the air when coughing or sneezing.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V672" name="W_TBSPREDUTEN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Sharing utensils
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDUTEN (V474B) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads by sharing utensils.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V673" name="W_TBSPREDTOUCH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Touch
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDTOUCH (V474C) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through touching a person with the illness.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V674" name="W_TBSPREDFOOD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Food
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDFOOD (V474D) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through food.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V675" name="W_TBSPREDSEX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Sexual contact
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDSEX (V474E) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through sexual contact.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V676" name="W_TBSPREDMOSQ" files="F1" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Mosquito bites
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDMOSQ (V474F) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through mosquito bites.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V677" name="W_TBSPREDBED" files="F1" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Sharing clothes/bed/towel
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDBED indicates whether the woman stated, in response to an open-ended question, that tuberculosis is spread by sharing clothing, bed linen, or towels.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V678" name="W_TBSPREDSMOK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Smoking
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSREDSMOK indicates whether the woman stated, in response to an open-ended question, that tuberculosis is spread through smoking.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V679" name="W_TBSPREDOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDOTH (V474X) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through some other means. The meaning of "other" must be interpreted relative to the specific categories included in a particular sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V680" name="W_TBSPREDDK" files="F1" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Don't know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDDK (V474Z) indicates whether, in response to an open-ended question, the respondent stated that she does not know how tuberculosis spreads.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V681" name="W_FSEVHAD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ever had fistula
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FSEVHAD indicates whether the woman ever had fistula. Question wording varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V682" name="W_FSAFTDELIVER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Delivery (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who experienced fistula, FSAFTDELIVER indicates whether the condition occurred after delivery or a stillbirth.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, after miscarriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, after delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V683" name="W_FSAFTASSAULT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Sexual assault (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women with fistula that did not occur after delivery, FSAFTASSAULT indicates whether the condition occurred after sexual assault.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V684" name="W_FSAFTPELVIC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Pelvic surgery (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who experienced fistula for reasons other than delivery and sexual assault, FSAFTPELVIC indicates whether the condition occurred after pelvic surgery.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V685" name="W_FSAFTOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Other event (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women with fistula, FSAFTOTH indicates whether the condition occurred after an event other than delivery, sexual assault, or pelvic surgery.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V686" name="W_FSDAYSAFTER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Days after causal event that leakage occurred
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FSDAYSAFTER reports how many days after the causal event (such as delivery) that urinary leakage from fistula occurred.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Same day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V687" name="W_FSDELIVERTYP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Type of delivery where fistula occurred
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSDELIVERTYP reports the characteristics (normal versus difficult delivery, live birth versus stillbirth outcome) of the delivery causing the female respondent's obstetric fistula. Question wording and response categories vary across surveys. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          During normal labor/delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          During difficult delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          During difficult delivery, live birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          During difficult delivery, stillborn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          During pelvic surgery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V688" name="W_FSDELIVALIVE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Baby born alive in birth causing fistula
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSDELIVALIVE indicates whether the delivery causing the female respondent's fistula resulted in a live birth. Similar information is included for some samples in FSDELIVERTYP.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, stillbirth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, born alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, died in first 7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, died after 7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Yes, still alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V689" name="W_FSSEEKTREAT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sought treatment for fistula
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSSEEKTREAT indicates whether the woman sought treatment for fistula. Question wording varied across surveys. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V690" name="W_FSTREATTIME" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time after onset of leakage before seeking treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSTREATTIME reports how many months after the onset of leakage that the woman sought treatment for fistula.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1 to 6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          7 to 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          More than 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not in Universe (NIU)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V691" name="W_FSTREATWHO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Person last seen for fistula treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSTREATWHO reports the type of person (health care practitioner or other) whom the woman last saw for fistula treatment.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Heath professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Doctor/ clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Nurse/ midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Health fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Traditional healer/untrained village doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Traditional birth attendent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V692" name="W_FSTREATSUC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Whether fistula treatment was successful
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSTREATSUC indicates whether the fistula treatment for the woman was successful in curing the condition. Codes and question wording vary across surveys. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, no leakage at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, but still some leakage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V693" name="W_TONOSMOKE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Smokes nothing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TONOSMOKE (V463Z) indicates whether the woman does not smoke cigarettes or use any other form of tobacco.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, smokes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, does not smoke or use tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V694" name="W_TOSMOKE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Smokes cigarettes
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOSMOKE (V463A) indicates whether the woman smokes cigarettes.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V695" name="W_TOCIGDAYNO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of cigarettes in last 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who smoke, TOCIGDAYNO (V464) reports the number of cigarettes smoked in the last 24 hours.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V696" name="W_TOPIPE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Smokes pipe
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOPIPE (V463B) indicates whether the woman smokes a pipe.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V697" name="W_TOCHEW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Uses chewing tobacco
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOCHEW (V463C) indicates whether the woman uses chewing tobacco.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V698" name="W_TOSNUFF" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Uses snuff
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOSNUFF (V463E) indicates whether the woman uses snuff, either by mouth or by nose.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V699" name="W_TOUSEOTH" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Uses other tobacco
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOUSEOTH (V463X) indicates whether the woman uses some other form of tobacco, with the meaning of "other" dependent on the types of tobacco specified in each sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V700" name="W_DELNURM_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave delivery care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years preceding the survey, DELNURM_ALL (M3B_x) indicates whether a nurse or midwife (categories combined or not distinguished) assisted with the child's delivery.

DELNURM_ALL consists of a set of six separate variables, covering the most recent birth (DELNURM_01) up to the sixth-most-recent birth (i.e., DELNURM_02, DELNURM_03, DELNURM_04, DELNURM_05, and DELNURM_06) during the reference period prior to the survey.  If DELNURM_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELNURM_06 would not be available for that survey in IPUMS-DHS. 

Some samples in the "DEL" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as DELNURM_ALL, while preserving the separate responses in country-specific variables.

For example, a given sample might include separate categories for nurse and midwife that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          DELNURM_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V701" name="W_DELNURM_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave delivery care for last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, DELNURM_01 (M3B_1) indicates whether, in response to an open-ended question, they reported a nurse or midwife (categories combined or not distinguished) gave delivery care (for the last birth).

Some samples in the "DEL" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as DELNURM_01, while preserving the separate responses in country-specific variables.

For example, a given sample might include separate categories for nurse and midwife that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V702" name="W_DELNURM_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave delivery care for second to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V703" name="W_DELNURM_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave delivery care for third to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V704" name="W_DELNURM_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave delivery care for fourth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (don't know)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V705" name="W_DELNURM_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave delivery care for fifth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V706" name="W_DELNURM_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave delivery care for sixth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V707" name="W_DELTBA_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave delivery care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, DELTBA_ALL (M3G_x) indicates whether a traditional birth attendant gave delivery care. Women could report more than one type of healthcare (or traditional) provider. Wording for this response category varied across samples. See Comparability.

DELTBA_ALL consists of a set of six separate variables, covering the most recent birth (DELTBA_01) up to the sixth-most-recent birth (i.e., DELTBA_02, DELTBA_03, DELTBA_04, DELTBA_05, and DELTBA_06) during the reference period prior to the survey.  If DELTBA_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELTBA_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          DELTBA_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V708" name="W_DELTBA_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave delivery care for last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, DELTBA_01 (M3G_1) indicates whether a traditional birth attendant gave delivery care (for the last birth). Wording for this response category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V709" name="W_DELTBA_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave delivery care for second to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V710" name="W_DELTBA_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave delivery care for third to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V711" name="W_DELTBA_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave delivery care for fourth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V712" name="W_DELTBA_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave delivery care for fifth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V713" name="W_DELTBA_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave delivery care for sixth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V714" name="W_DELREL_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Relative gave delivery care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, DELREL_ALL (M3H_x) indicates whether a relative gave delivery care. Women could report more than one type of healthcare (or traditional) provider. 

DELREL_ALL consists of a set of six separate variables, covering the most recent birth (DELREL_01) up to the sixth-most-recent birth (i.e., DELREL_02, DELREL_03, DELREL_04, DELREL_05, and DELREL_06) during the reference period prior to the survey.  If DELREL_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELREL_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          DELREL_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V715" name="W_DELREL_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Relative gave delivery care for last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, DELREL_01 (M3H_1) indicates whether a relative gave delivery care (for the last birth). 

Women could report more than one type of healthcare (or traditional) provider.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V716" name="W_DELREL_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Relative gave delivery care for second to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V717" name="W_DELREL_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Relative gave delivery care for third to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V718" name="W_DELREL_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Relative gave delivery care for fourth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V719" name="W_DELREL_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Relative gave delivery care for fifth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V720" name="W_DELREL_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Relative gave delivery care for sixth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V721" name="W_DELOTH_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave delivery care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, DELOTH_ALL (M3K_x) indicates whether some other person gave delivery care. The meaning of "other" must be interpreted relative to the specific categories included in a given sample. Women could report more than one type of healthcare (or traditional) provider. 

DELOTH_ALL consists of a set of six separate variables, covering the most recent birth (DELOTH_01) up to the sixth-most-recent birth (i.e., DELOTH_02, DELOTH_03, DELOTH_04, DELOTH_05, and DELOTH_06) during the reference period prior to the survey.  If DELOTH_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELOTH_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          DELOTH_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V722" name="W_DELOTH_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave delivery care for last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, DELOTH_01 (M3K_1) indicates whether some other person gave delivery care (for the last birth). The meaning of "other" must be interpreted relative to the specific categories included in a given sample. 

Women could report more than one type of healthcare (or traditional) provider.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V723" name="W_DELOTH_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave delivery care for second to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V724" name="W_DELOTH_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave delivery care for third to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V725" name="W_DELOTH_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave delivery care for fourth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V726" name="W_DELOTH_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave delivery care for fifth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V727" name="W_DELOTH_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave delivery care for sixth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V728" name="W_DELNONE_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        No one gave delivery care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, DELNONE_ALL (M3N_x) indicates whether no one assisted with the delivery.

DELNONE_ALL consists of a set of six separate variables, covering the most recent birth (DELNONE_01) up to the sixth-most-recent birth (i.e., DELNONE_02, DELNONE_03, DELNONE_04, DELNONE_05, and DELNONE_06) during the reference period prior to the survey. If DELNONE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELNONE_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          DELNONE_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V729" name="W_DELNONE_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        No one gave delivery care (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, DELNONE_01 (M3N_1) indicates whether no one assisted with delivery (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V730" name="W_DELNONE_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        No one gave delivery care (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V731" name="W_DELNONE_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        No one gave delivery care (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V732" name="W_DELNONE_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        No one gave delivery care (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V733" name="W_DELNONE_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        No one gave delivery care (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V734" name="W_DELNONE_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        No one gave delivery care (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V735" name="W_DELCESRLAST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Last birth caesarean section
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the three to five years before the survey, DELCESRLAST (V401) indicates whether the last-born child was delivered by caesarean section. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes allchildren of the mother to be coded the same way.

Question wording varies slightly across samples. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V736" name="W_DELCESR_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Delivery by caesarian section
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, DELCESR_ALL (M17_x) indicates whether their child was born by caesarian section. Question wording varied somewhat across samples; see Comparability. 

DELCESR_ALL consists of a set of up to six separate variables, covering the most recent birth (DELCESR_01) up to, potentially, the sixth-most-recent birth (i.e., DELCESR_02, DELCESR_03, DELCESR_04, DELCESR_05, and DELCESR_06) during the reference period prior to the survey.  If DELCESR_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

This information was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELCESR_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          DELCESR_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V737" name="W_DELCESR_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Delivery by caesarian section (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, DELCESR_01 (M17_1) indicates whether the child was born by caesarian section (for the last birth). Question wording varied somewhat across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V738" name="W_DELCESR_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Delivery by caesarian section (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V739" name="W_DELCESR_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Delivery by caesarian section (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V740" name="W_DELCESR_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Delivery by caesarian section (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V741" name="W_DELCESR_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Delivery by caesarian section (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V742" name="W_DELCESR_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Delivery by caesarian section (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V743" name="W_DELPL_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place of delivery
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, DELPL_ALL (M15_x) reports where she delivered her child.  Response categories vary across samples.  See Comparability.

DELPL_ALL consists of a set of six separate variables, covering the most recent birth (DELPL_01) up to the sixth-most-recent birth (i.e., DELPL_02, DELPL_03, DELPL_04, DELPL_05, and DELPL_06) during the reference period prior to the survey.  If DELPL_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELPL_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          DELPL_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V744" name="W_DELPL_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place of delivery (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See DELPL_ALL.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HOME
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Respondent's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Respondent's parents' home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Nurse/midwife's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          TBA's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Community/village health worker's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2160
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2170
        </catValu>
        <labl>
          Military hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2180
        </catValu>
        <labl>
          Day hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2280
        </catValu>
        <labl>
          Basic health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2290
        </catValu>
        <labl>
          Sub-health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2430
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2431
        </catValu>
        <labl>
          Community based distribution (CBD)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Government dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Medical college hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3122
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Private nursing/maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3520
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3521
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3530
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Private family planninc clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Red Cross facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          CSI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Egyptian family planning association (EFPA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Marie Stopes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Religious health center/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Religious dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Other religious/mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6100
        </catValu>
        <labl>
          En route to provider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6200
        </catValu>
        <labl>
          Outside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6300
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V745" name="W_DELPL_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place of delivery (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HOME
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Respondent's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Respondent's parents' home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Nurse/midwife's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          TBA's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Community/village health worker's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2160
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2170
        </catValu>
        <labl>
          Military hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2180
        </catValu>
        <labl>
          Day hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2280
        </catValu>
        <labl>
          Basic health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2290
        </catValu>
        <labl>
          Sub-health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2430
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2431
        </catValu>
        <labl>
          Community based distribution (CBD)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Government dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Medical college hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3122
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Private nursing/maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3520
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3521
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3530
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Private family planninc clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Red Cross facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          CSI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Egyptian family planning association (EFPA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Marie Stopes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Religious health center/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Religious dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Othre religious/mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6100
        </catValu>
        <labl>
          En route to provider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6200
        </catValu>
        <labl>
          Outside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6300
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V746" name="W_DELPL_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place of delivery (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HOME
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Respondent's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Respondent's parents' home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Nurse/midwife's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          TBA's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Community/village health worker's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2160
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2170
        </catValu>
        <labl>
          Military hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2180
        </catValu>
        <labl>
          Day hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2280
        </catValu>
        <labl>
          Basic health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2290
        </catValu>
        <labl>
          Sub-health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2430
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2431
        </catValu>
        <labl>
          Community based distribution (CBD)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Government dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Medical college hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3122
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Private nursing/maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3520
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3521
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Private family planninc clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Red Cross facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          CSI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Egyptian family planning association (EFPA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Marie Stopes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Religious health center/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Religious dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Other religious/mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6100
        </catValu>
        <labl>
          En route to provider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6200
        </catValu>
        <labl>
          Outside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6300
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V747" name="W_DELPL_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place of delivery (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HOME
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Respondent's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Respondent's parents' home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Nurse/midwife's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          TBA's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Community/village health worker's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2160
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2170
        </catValu>
        <labl>
          Military hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2180
        </catValu>
        <labl>
          Day hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2280
        </catValu>
        <labl>
          Basic health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2290
        </catValu>
        <labl>
          Sub-health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2430
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2431
        </catValu>
        <labl>
          Community based distribution (CBD)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Government dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Medical college hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3122
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Private nursing/maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3520
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3521
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3530
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Private family planninc clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Red Cross facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          CSI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Egyptian family planning association (EFPA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Marie Stopes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Religious health center/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Religious dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Other religious/mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6100
        </catValu>
        <labl>
          En route to provider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6200
        </catValu>
        <labl>
          Outside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6300
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V748" name="W_DELPL_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place of delivery (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HOME
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Respondent's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Respondent's parents' home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Nurse/midwife's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          TBA's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Community/village health worker's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2160
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2170
        </catValu>
        <labl>
          Military hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2180
        </catValu>
        <labl>
          Day hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2280
        </catValu>
        <labl>
          Basic health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2290
        </catValu>
        <labl>
          Sub-health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2430
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2431
        </catValu>
        <labl>
          Community based distribution (CBD)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Government dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Medical college hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3122
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Private nursing/maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3520
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3521
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3530
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Private family planninc clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Red Cross facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          CSI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Egyptian family planning association (EFPA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Marie Stopes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Religious health center/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Religious dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Other religious/mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6100
        </catValu>
        <labl>
          En route to provider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6200
        </catValu>
        <labl>
          Outside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6300
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V749" name="W_DELPL_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place of delivery (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HOMES
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Respondent's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Respondent's parents' home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Nurse/midwife's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          TBA's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Community/village health worker's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2160
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2170
        </catValu>
        <labl>
          Military hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2180
        </catValu>
        <labl>
          Day hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2280
        </catValu>
        <labl>
          Basic health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2290
        </catValu>
        <labl>
          Sub-health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2430
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2431
        </catValu>
        <labl>
          Community based distribution (CBD)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Government dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Medical college hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3122
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Private nursing/maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3520
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3521
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Private family planninc clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Red Cross facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          CSI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Egyptian family planning association (EFPA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Marie Stopes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Religious health center/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Religious dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Other religious/mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6100
        </catValu>
        <labl>
          En route to provider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6200
        </catValu>
        <labl>
          Outside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6300
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V750" name="W_DELMW2_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Doctor/clinical officer gave delivery care (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years, DELMW2_ALL indicates whether, in response to an open-ended question, they reported a doctor/clinical officer gave delivery care for a recent birth. This response category is country-specific to Malawi.

DELMW2_ALL consists of a set of up to six separate variables, covering the most recent birth (DELMW2_01) up to the sixth-most-recent birth (i.e., DELMW2_02, DELMW2_03, DELMW2_04, DELMW2_05, and DELMW2_06) during the reference period prior to the survey. If DELMW2_ALL is included in a data extract, all these separate variables are included in a researcher's data file.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          DELMW2_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V751" name="W_DELMW2_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Doctor/clinical officer gave delivery care for last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last five years, DELMW2_01 indicates whether, in response to an open-ended question, they reported a doctor/clinical officer gave delivery care (for the last birth). This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V752" name="W_DELMW2_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Doctor/clinical officer gave delivery care for second to last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V753" name="W_DELMW2_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Doctor/clinical officer gave delivery care for third to last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V754" name="W_DELMW2_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Doctor/clinical officer gave delivery care for fourth to last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V755" name="W_DELMW2_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Doctor/clinical officer gave delivery care for fifth to last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V756" name="W_DELMW2_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Doctor/clinical officer gave delivery care for sixth to last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V757" name="W_DELMW3_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Patient attendant gave delivery care (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years, DELMW3_ALL indicates whether, in response to an open-ended question, they reported a ward/patient attendant gave delivery care for a recent birth. This response category is country-specific to Malawi.

DELMW3_ALL consists of a set of up to six separate variables, covering the most recent birth (DELMW3_01) up to the sixth-most-recent birth (i.e., DELMW3_02, DELMW3_03, DELMW3_04, DELMW3_05, and DELMW3_06) during the reference period prior to the survey. If DELMW3_ALL is included in a data extract, all these separate variables are included in a researcher's data file.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          DELMW3_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V758" name="W_DELMW3_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Patient attendant gave delivery care for last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last five years, DELMW3_01 indicates whether, in response to an open-ended question, they reported a ward/patient attendant gave delivery care (for the last birth). This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V759" name="W_DELMW3_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Patient attendant gave delivery care for second to last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V760" name="W_DELMW3_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Patient attendant gave delivery care for third to last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V761" name="W_DELMW3_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Patient attendant gave delivery care for fourth to last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V762" name="W_DELMW3_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Patient attendant gave delivery care for fifth to last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V763" name="W_DELMW3_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Patient attendant gave delivery care for sixth to last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V764" name="W_PPCHECK_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked before discharge after delivery
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the 5 years before the survey and delivered their child at a health facility, PPCHECK_ALL (M62_x) indicates whether the woman received a postpartum health check before she was discharged from the facility.

PPCHECK_ALL consists of a set of six separate variables, covering the most recent birth (PPCHECK_01) up to the sixth-most-recent birth (i.e., PPCHECK_02, PPCHECK_03, PPCHECK_04, PPCHECK_05, and PPCHECK_06) during the reference period prior to the survey.  If PPCHECK_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PPCHECK_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          PPCHECK_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V765" name="W_PPCHECK_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked before discharge after delivery (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the 5 years before the survey and delivered their last child at a health facility, PPCHECK_01 (M62_1) indicates whether the woman received a postpartum health check before she was discharged from the facility.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V766" name="W_PPCHECK_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked before discharge after delivery (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V767" name="W_PPCHECK_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked before discharge after delivery (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V768" name="W_PPCHECK_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked before discharge after delivery (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V769" name="W_PPCHECK_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked before discharge after delivery (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V770" name="W_PPCHECKTM_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Timing of woman's postpartum health check before discharge (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the 5 years before the survey, delivered their last child at a health facility, and received a health check before being discharged from the facility, PPCHECKTM_01 (M63_1) reports the amount of time in hours, days, or weeks between the woman's delivery and her postpartum health check.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100: 0 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101: 1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201: 1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301: 1 week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Weeks: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V771" name="W_PPCHECKWHO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Who checked respondent's health before discharge (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the 5 years before the survey, delivered their last child at a health facility, and received a health check before being discharged from the facility, PPCHECKWHO_01 (M64_1) reports who conducted their postpartum health check. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Accredited social health activist (ASHA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V772" name="W_DELPPCHKA_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked after discharge/home delivery
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the 5 years before the survey and delivered their child at home, away from a medical facility, or who delivered their child at a medical facility and did not receive a health check before being discharged from the health facility, DELPPCHKA_ALL (M66_x) indicates whether the woman received a postpartum health check sometime after the delivery of her child.

DELPPCHKA_ALL consists of a set of six separate variables, covering the most recent birth (DELPPCHKA_01) up to the sixth-most-recent birth (i.e., DELPPCHKA_02, DELPPCHKA_03, DELPPCHKA_04, DELPPCHKA_05, and DELPPCHKA_06) during the reference period prior to the survey.  If DELPPCHKA_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELPPCHKA_06 would not be available for that survey in IPUMS-DHS. 

Many surveys, specified in the Comparability section, collected this information for the most recent birth only (DELPPCHKA_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          DELPPCHKA_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V773" name="W_DELPPCHKA_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked after discharge/home delivery for last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the 5 years before the survey and delivered their last child at home, away from a medical facility, or who delivered their child at a medical facility and did not receive a health check before being discharged from the health facility, DELPPCHKA_01 (M66_1) indicates whether the woman received a postpartum health check sometime after the delivery of her last-born child.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V774" name="W_DELPPCHKA_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked after discharge/home delivery for second to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V775" name="W_DELPPCHKA_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked after discharge/home delivery for third to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V776" name="W_DELPPCHKA_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked after discharge/home delivery for fourth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V777" name="W_DELPPCHKA_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked after discharge/home delivery for fifth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V778" name="W_DELPPCHKA_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's health checked after discharge/home delivery for sixth to last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V779" name="W_DELPPCHKATM_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        How long after delivery health check took place (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the 5 years before the survey, who delivered their last child away from a health facility or did not receive a health check before being discharged from a health facility, and who received a health check later, DELPPCHKATM_01 (M67_1) reports the time in hours, days, or weeks between the delivery and the woman's postpartum health check. 

The related variable DELPPCHKA_01 (M66_1) indicates whether such women received postnatal health checks.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100: Immediately, in first hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101: 1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          200: Same day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201: 1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300: Same week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301: 1 week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Weeks, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V780" name="W_DELPPCHKAWHO_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Person who checked respondent's health after discharge/delivery at home
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the 5 years before the survey, who delivered their child away from a health facility or did not receive a health check before being discharged from a health facility, and who received a health check later, DELPPCHKAWHO_ALL (M68_X) reports who conducted the respondent's postpartum health check (for a recent birth).  Response categories vary across samples.  See Comparability.

DELPPCHKAWHO_ALL consists of a set of up to six separate variables, covering the most recent birth (DELPPCHKAWHO_01) up to the sixth-most-recent birth (i.e., DELPPCHKAWHO_02, DELPPCHKAWHO_03, DELPPCHKAWHO_04, DELPPCHKAWHO_05, and DELPPCHKAWHO_06) during the reference period prior to the survey. If DELPPCHKAWHO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          DELPPCHKAWHO_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V781" name="W_DELPPCHKAWHO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Person who checked respondent's health after discharge/delivery at home (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See DELPPCHKAWHO_ALL (M68_X).
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          TBA, unsure about training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Accredited social health activist (ASHA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Dispenser/compounder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V782" name="W_DELPPCHKAWHO_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Person who checked respondent's health after discharge/delivery at home (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          TBA, unsure about training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Dispenser/compounder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V783" name="W_DELPPCHKAWHO_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Person who checked respondent's health after discharge/delivery at home (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          TBA, unsure about training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Dispenser/compounder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V784" name="W_DELPPCHKAWHO_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Person who checked respondent's health after discharge/delivery at home (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          TBA, unsure about training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Dispenser/compounder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V785" name="W_DELPPCHKALOC_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Where respondent's health check after discharge/delivery at home took place (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the 5 years before the survey, who delivered their last child away from a health facility or did not receive a health check before being discharged from a health facility, and who received a health check later, DELPPCHKALOC_01 (M69_1) reports where the respondent's postpartum health check took place. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HOME
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Respondent's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Respondent's parents' home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          TBA home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Category I health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          Category II health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Unqualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3710
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3720
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          NGO static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          NGO satellite clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          CSI project
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Religious pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Other religious/mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V786" name="W_PNBABCK_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Baby postnatal check within 2 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the 5 years before the survey, PNBABCK_ALL (M70_x) indicates whether the woman's baby had a postnatal check within 2 months of delivery.

For most surveys, this information on postnatal checks for the child is collected for only the last-born child (PNBABCK_01). For a minority of samples, noted in the Comparability section, the information was collected for all births within the 3 to 5 years before the survey. 

To accommodate those surveys that collected this information on multiple births, PNBABCK_ALL consists of a set of six separate variables, covering the most recent birth (PNBABCK_01) up to the sixth-most-recent birth (i.e., PNBABCK_02, PNBABCK_03, PNBABCK_04, PNBABCK_05, and PNBABCK_06) during the reference period prior to the survey.  If PNBABCK_ALL is included in a data extract, all these separate variables--when available--are included in a researcher's data file.  

In some cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, in a survey that collected this information for more than the most recent birth, no woman had 6 births in five years and only blank values were included in the original DHS file, then PNBABCK_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          PNBABCK_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V787" name="W_PNBABCK_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Baby postnatal check within 2 months (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the 5 years before the survey, PNBABCK_01 (M70_1) indicates whether the woman's last-born baby had a postnatal check within 2 months of delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V788" name="W_PNBABCK_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Baby postnatal check within 2 months (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V789" name="W_PNBABCK_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Baby postnatal check within 2 months (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V790" name="W_PNBABCK_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Baby postnatal check within 2 months (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V791" name="W_PNBABCK_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Baby postnatal check within 2 months (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V792" name="W_PNBABCKTM_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        How long after delivery postnatal check took place (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the 5 years before the survey, and whose last-born baby had a health check within 2 months of delivery, PNBABCKTM_01 (M71_1) reports the amount of time that passed before the baby's health check. 

See the related variable PNBABCK_01 (M70_1) for more information.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100: Immediately, in first hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101: 1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          200: Same day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201: 1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301: 1 week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          391
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          392
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          393
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          394
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          395
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          396
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          397
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          398
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Weeks, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V793" name="W_PNBABCKWHO_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Who performed newborn's postnatal check
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the five years before the survey, and whose child had a health check within two months of delivery, PNBABCKWHO_ALL (M72_X) reports who conducted the child's postpartum health check (for a recent birth). Response categories vary across samples. See Comparability.

PNBABCKWHO_ALL consists of a set of up to six separate variables, covering the most recent birth (PNBABCKWHO_01) up to the sixth-most-recent birth (i.e., PNBABCKWHO_02, PNBABCKWHO_03, PNBABCKWHO_04, PNBABCKWHO_05, and PNBABCKWHO_06) during the reference period prior to the survey. If PNBABCKWHO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          PNBABCKWHO_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V794" name="W_PNBABCKWHO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Who performed newborn's postnatal check (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See PNBABCKWHO_ALL.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Unqualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Nurse/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Nurse/midwife/paramedic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Community skilled birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Health assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Health extension worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1926
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Family welfare visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Family welfare assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          TBA, unsure about training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Community health mother and child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Accredited social health activist (ASHA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Matron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Village mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Homeopath
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Hakim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          NGO worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Dispenser/compounder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V795" name="W_PNBABCKWHO_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Who performed newborn's postnatal check (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Unqualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Nurse/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Nurse/midwife/paramedic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Community skilled birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Health assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Health extension worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1926
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Family welfare visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Family welfare assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          TBA, unsure about training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Community health mother and child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Matron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Village mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Homeopath
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Hakim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          NGO worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Dispenser/compounder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V796" name="W_PNBABCKWHO_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Who performed newborn's postnatal check (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Unqualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Nurse/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Nurse/midwife/paramedic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Community skilled birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Health assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Health extension worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1926
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Family welfare visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Family welfare assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          TBA, unsure about training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Community health mother and child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Matron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Village mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Homeopath
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Hakim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          NGO worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Dispenser/compounder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V797" name="W_PNBABCKWHO_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Who performed newborn's postnatal check (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Unqualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Nurse/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Nurse/midwife/paramedic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Community skilled birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Health assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Health extension worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1926
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Family welfare visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Family welfare assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          TBA, unsure about training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Community health mother and child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Matron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Village mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Homeopath
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Hakim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          NGO worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Dispenser/compounder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V798" name="W_PNBABCKWHO_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Who performed newborn's postnatal check (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Unqualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Nurse/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Nurse/midwife/paramedic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Community skilled birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Health assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Health extension worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1926
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Family welfare visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Family welfare assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          TBA, unsure about training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Community health mother and child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Matron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Village mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Homeopath
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Hakim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          NGO worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Dispenser/compounder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V799" name="W_PNBABCKLOC_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Where the baby's health check took place (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the five years before the survey, and whose last-born child had a health check within two months of delivery, PNBABCKLOC_01 (M53_1) reports where the child's postnatal health check took place. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HOME
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Respondent's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Respondent's parents' home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          TBA home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Sub-center or sub-post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Outreach point
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Government maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Health box
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2905
        </catValu>
        <labl>
          Specialized medical school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3122
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Unqualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3710
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3720
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other private medical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3901
        </catValu>
        <labl>
          Private medical school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Satellite clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4130
        </catValu>
        <labl>
          Red Cross
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4140
        </catValu>
        <labl>
          Marie Stopes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Egyptian FP association
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          CSI project
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Religious pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Other religious/mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V800" name="W_PPVITA_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received Vitamin A dose in first 2 months after delivery
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, PPVITA_ALL (M54_x) indicates whether they received a vitamin A dose in first 2 months after delivery.

PPVITA_ALL consists of a set of up to six separate variables, covering the most recent birth (PPVITA_01) up to, potentially, the sixth-most-recent birth (i.e., PPVITA_02, PPVITA_03, PPVITA_04, PPVITA_05, and PPVITA_06) during the reference period prior to the survey.  If PPVITA_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For most surveys, this information was collected for only the most recent birth (PPVITA_01).  Surveys in which the data were collected for additional births are noted in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          PPVITA_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V801" name="W_PPVITA_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received Vitamin A dose in first 2 months after delivery (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, PPVITA_01 (M54_1) indicates whether they received a vitamin A dose in first 2 months after delivery (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V802" name="W_PPVITA_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received Vitamin A dose in first 2 months after delivery (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V803" name="W_PPVITA_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received Vitamin A dose in first 2 months after delivery (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V804" name="W_PPVITA_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received Vitamin A dose in first 2 months after delivery (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V805" name="W_PPVITA_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received Vitamin A dose in first 2 months after delivery (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V806" name="W_PPVITA_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received Vitamin A dose in first 2 months after delivery (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Postpartum care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V807" name="W_ANCARE_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received prenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCARE_ALL indicates whether the woman received antenatal care. ANCARE_ALL variables are the inverse of the ANCARENONE_ALL (M2N_X) variables.

ANCARE_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCARE_01) up to the sixth-most-recent birth (i.e., ANCARE_02, ANCARE_03, ANCARE_04, ANCARE_05, and ANCARE_06) during the reference period prior to the survey.  If ANCARE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCARE_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V808" name="W_ANCARE_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received prenatal care (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V809" name="W_ANCARE_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received prenatal care (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V810" name="W_ANCARE_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received prenatal care (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V811" name="W_ANCARE_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received prenatal care (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V812" name="W_ANCARE_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received prenatal care (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V813" name="W_ANCARE_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received prenatal care (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V814" name="W_ANVISMO_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Timing of first antenatal visit for the pregnancy: Months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years and saw someone for antenatal care (ANCARE_ALL), ANVISMO_ALL (M13_x) reports the timing of the first antenatal visit, in months from the start of the pregnancy. Women who did not see anyone for antenatal care during the pregnancy are coded 0.

ANVISMO_ALL consists of a set of six separate variables, covering the most recent birth (ANVISMO_01) up to the sixth-most-recent birth (i.e., ANVISMO_02, ANVISMO_03, ANVISMO_04, ANVISMO_05, and ANVISMO_06) during the reference period prior to the survey.  If ANVISMO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANVISMO_01) and, in some cases, the second-most-recent birth (ANVISMO_02).  Surveys in which the data were collected for only the most recent birth(s) are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANVISMO_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANVISMO_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V815" name="W_ANVISMO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Timing of first antenatal visit for the pregnancy: Months (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See ANVISMO_ALL.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V816" name="W_ANVISMO_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Timing of first antenatal visit for the pregnancy: Months (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V817" name="W_ANVISMO_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Timing of first antenatal visit for the pregnancy: Months (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V818" name="W_ANVISMO_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Timing of first antenatal visit for the pregnancy: Months (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V819" name="W_ANVISMO_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Timing of first antenatal visit for the pregnancy: Months (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V820" name="W_ANVISMO_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Timing of first antenatal visit for the pregnancy: Months (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V821" name="W_ANVISNO_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of antenatal visits during the pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANVISNO_ALL (M14_x) reports the number of antenatal visits. Women who did not see anyone for antenatal care during the pregnancy are coded 0.

ANVISNO_ALL consists of a set of six separate variables, covering the most recent birth (ANVISNO_01) up to the sixth-most-recent birth (i.e., ANVISNO_02, ANVISNO_03, ANVISNO_04, ANVISNO_05, and ANVISNO_06) during the reference period prior to the survey.  If ANVISNO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANVISNO_01) and, in some cases, the second-most-recent birth (ANVISNO_02).  Surveys in which the data were collected for only the most recent birth are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANVISNO_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANVISNO_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V822" name="W_ANVISNO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of antenatal visits during the pregnancy (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See ANVISNO_ALL.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V823" name="W_ANVISNO_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of antenatal visits during the pregnancy (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V824" name="W_ANVISNO_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of antenatal visits during the pregnancy (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V825" name="W_ANVISNO_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of antenatal visits during the pregnancy (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V826" name="W_ANVISNO_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of antenatal visits during the pregnancy (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V827" name="W_ANVISNO_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of antenatal visits during the pregnancy (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V828" name="W_ANVISNOTOP20_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Topcoded number of antenatal visits
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the three to five years before the survey, ANVISNOTOP20_ALL reports the number of antenatal visits, topcoded at 20+ visits. Women who did not see anyone for antenatal care during the pregnancy are coded 0. The related variables for ANVISNO_ALL supply the same material without imposing a consistent topcode.

ANVISNOTOP20_ALL consists of a set of six separate variables, covering the most recent birth (ANVISNOTOP20_01) up to the sixth-most-recent birth (i.e., ANVISNOTOP20_02, ANVISNOTOP20_03, ANVISNOTOP20_04, ANVISNOTOP20_05, and ANVISNOTOP20_06) during the reference period prior to the survey.  If ANVISNOTOP20_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANVISNOTOP20_01) and, in some cases, the second-most-recent birth (ANVISNOTOP20_02).  Surveys in which the data were collected for only the most recent birth are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANVISNOTOP20_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANVISNOTOP20_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V829" name="W_ANVISNOTOP20_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of antenatal visits during the pregnancy, topcoded at 20 (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See ANVISNOTOP20_ALL.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V830" name="W_ANVISNOTOP20_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Topcoded number of antenatal visits (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V831" name="W_ANVISNOTOP20_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Topcoded number of antenatal visits (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V832" name="W_ANVISNOTOP20_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Topcoded number of antenatal visits (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V833" name="W_ANVISNOTOP20_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Topcoded number of antenatal visits (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V834" name="W_ANVISNOTOP20_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Topcoded number of antenatal visits (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V835" name="W_ANCAREBLD_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood sample taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCAREBLD_ALL (M42E_x) indicates whether a blood sample was taken at least once during antenatal care.

ANCAREBLD_ALL consists of separate variables, covering the most recent birth (ANCAREBLD_01) and, in some cases, additional births, up to, potentially, the sixth-most-recent birth (i.e., ANCAREBLD_02, ANCAREBLD_03, ANCAREBLD_04, ANCAREBLD_05, and ANCAREBLD_06). For most surveys, this information on taking a blood sample during the pregnancy was collected for only the most recent birth; exceptions are noted in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCAREBLD_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V836" name="W_ANCAREBLD_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood sample taken (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, ANCAREBLD_01 (M42E_1) indicates whether a blood sample was taken at least once during antenatal care (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V837" name="W_ANCAREBLD_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood sample taken (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V838" name="W_ANCAREBLD_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood sample taken (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V839" name="W_ANCAREBLD_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood sample taken (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V840" name="W_ANCAREBLD_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood sample taken (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V841" name="W_ANCAREBLD_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood sample taken (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V842" name="W_ANCAREBP_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood pressure taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCAREBP_ALL (M42C_x) indicates whether blood pressure was taken at least once during antenatal care.

ANCAREBP_ALL consists of separate variables, covering the most recent birth (ANCAREBP_01) and, in some cases, additional births, up to, potentially, the sixth-most-recent birth (i.e., ANCAREBP_02, ANCAREBP_03, ANCAREBP_04, ANCAREBP_05, and ANCAREBP_6). For most surveys, this information on checking blood pressure during pregnancy was collected for only the most recent birth; exceptions are noted in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCAREBP_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V843" name="W_ANCAREBP_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood pressure taken (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, ANCAREBP_01 (M42C_1) indicates whether blood pressure was taken at least once during antenatal care (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V844" name="W_ANCAREBP_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood pressure taken (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V845" name="W_ANCAREBP_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood pressure taken (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V846" name="W_ANCAREBP_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood pressure taken (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V847" name="W_ANCAREBP_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood pressure taken (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V848" name="W_ANCAREBP_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Blood pressure taken (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V849" name="W_ANCAREHT_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Height measured
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCAREHT_ALL (M42B_x) indicates whether her height was measured at least once during antenatal care.

ANCAREHT_ALL consists of separate variables, covering the most recent birth (ANCAREHT_01) and, in some cases, additional births, up to, potentially, the sixth-most-recent birth (i.e., ANCAREHT_02, ANCAREHT_03, ANCAREHT_04, ANCAREHT_05, and ANCAREHT_06). For most surveys, this information on measuring height during pregnancy was collected for only the most recent birth; exceptions are noted in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCAREHT_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V850" name="W_ANCAREHT_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Height measured (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, ANCAREHT_01 (M42B_1) indicates whether her height was measured at least once during antenatal care (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V851" name="W_ANCAREHT_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Height measured (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V852" name="W_ANCAREHT_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Height measured (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V853" name="W_ANCAREHT_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Height measured (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V854" name="W_ANCAREHT_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Height measured (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V855" name="W_ANCAREHT_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Height measured (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V856" name="W_ANCAREUR_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Urine sample taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCAREUR_ALL (M42D_x) indicates whether a urine sample was taken at least once during antenatal care. 

ANCAREUR_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCAREUR_01) up to, potentially, the sixth-most-recent birth (i.e., ANCAREUR_02, ANCAREUR_03, ANCAREUR_04, ANCAREUR_05, and ANCAREUR_06) during the reference period prior to the survey. If ANCAREUR_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For most surveys, this information on taking a urine sample during pregnancy was collected for only the most recent birth (ANCAREUR_01).  Surveys in which the data were collected for additional births are noted in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCAREUR_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V857" name="W_ANCAREUR_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Urine sample taken (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, ANCAREUR_01 (M42D_1) indicates whether a urine sample was taken at least once during antenatal care (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V858" name="W_ANCAREUR_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Urine sample taken (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V859" name="W_ANCAREUR_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Urine sample taken (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V860" name="W_ANCAREUR_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Urine sample taken (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V861" name="W_ANCAREUR_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Urine sample taken (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V862" name="W_ANCAREUR_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Urine sample taken (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V863" name="W_ANCAREWT_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Weighed
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCAREWT_ALL (M42A_x) indicates whether the respondent was weighed at least once during antenatal care.

ANCAREWT_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCAREWT_01) up to, potentially, the sixth-most-recent birth (i.e., ANCAREWT_02, ANCAREWT_03, ANCAREWT_04, ANCAREWT_05, and ANCAREWT_06) during the reference period prior to the survey.  If ANCAREWT_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For most surveys, this information on weighing the pregnant woman was collected for only the most recent birth (ANCAREWT_01).  Surveys in which the data were collected for additional births are noted in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCAREWT_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V864" name="W_ANCAREWT_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Weighed (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, ANCAREWT_01 (M42A_1) indicates whether the respondent was weighed at least once during antenatal care (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V865" name="W_ANCAREWT_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Weighed (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V866" name="W_ANCAREWT_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Weighed (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V867" name="W_ANCAREWT_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Weighed (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V868" name="W_ANCAREWT_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Weighed (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V869" name="W_ANCAREWT_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Weighed (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V870" name="W_ANCARENUTRI_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Nutritional counseling
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCARENUTRI_ALL indicates whether she received advice about diet or nutrition during pregnancy at least once during antenatal care.

ANCARENUTRI_ALL consists of separate variables, covering the most recent birth (ANCARENUTRI_01) and, in some cases, additional births, potentially up to the sixth-most-recent birth (i.e., ANCARENUTRI_02, ANCARENUTRI_03, ANCARENUTRI_04, ANCARENUTRI_05, and ANCARENUTRI_06). For most surveys, this information on providing nutritional advice during pregnancy was collected for only the most recent birth; exceptions are noted in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCARENUTRI_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V871" name="W_ANCARENUTRI_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Nutritional counseling (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, ANCARENUTRI_01 indicates whether she received advice about diet or nutrition during pregnancy at least once during antenatal care (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V872" name="W_ANCARENUTRI_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Nutritional counseling (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V873" name="W_ANCAREHBEAT_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Checked fetal heartbeat (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last five years, ANCAREHBEAT_01 indicates whether the fetal heartbeat was checked at least once during antenatal care (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V874" name="W_ANCAREYEXAM_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Eye exam (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last five years, ANCAREYEXAM_01 indicates whether the woman had her eyes examined at least once during antenatal care (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V875" name="W_ANDRGPARA_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Took drugs for intestinal parasites during pregnancy (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years, ANDRGPARA_01 (M60_1) indicates whether the woman took medication for intestinal parasites during her most recent pregnancy.

The related variable ANCAREDEWORM_01 indicates whether the woman's antenatal care included deworming.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V876" name="W_ANCARENURM_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave prenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCARENURM_ALL (M2B_x) indicates whether, in response to an open-ended question, they reported that a nurse or midwife (categories combined or not distinguished) gave antenatal care.

ANCARENURM_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCARENURM_01) up to the sixth-most-recent birth (i.e., ANCARENURM_02, ANCARENURM_03, ANCARENURM_04, ANCARENURM_05, and ANCARENURM_06) during the reference period prior to the survey. If ANCARENURM_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANCARENURM_01) and, in a few cases, the second-most-recent birth (ANCARENURM_02).  Surveys in which the data were collected for only the most recent births are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANCARENURM_06 would not be available for that survey in IPUMS-DHS.

Some samples in the "ANCARE" series, such as ANCARENURM_ALL, include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include separate response categories for nurse and midwife that could be combined to create the more comprehensive response category in ANCARENURM_ALL. See Comparability for more information on the specific categories included in this variable for relevant samples.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCARENURM_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V877" name="W_ANCARENURM_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave prenatal care (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCARENURM_01 (M2B_1) indicates whether, in response to an open-ended question, they reported that a nurse or midwife (categories combined or not distinguished) gave antenatal care (for the last birth).

Some samples in the "ANCARE" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include separate response categories for nurse and midwife that could be combined to create the more comprehensive response category in ANCARENURM. See Comparability for more information on the specific categories included in this variable for relevant samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (don't know)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V878" name="W_ANCARENURM_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave prenatal care (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (don't know)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V879" name="W_ANCARENURM_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave prenatal care (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (don't know)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V880" name="W_ANCARENURM_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave prenatal care (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (don't know)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V881" name="W_ANCARENURM_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave prenatal care (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (don't know)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V882" name="W_ANCARENURM_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave prenatal care (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (don't know)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V883" name="W_ANCARETBA_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave prenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCARETBA_ALL (M2G_x) indicates whether a traditional birth attendant gave antenatal care. Women could report more than one type of healthcare (or traditional) provider. 

ANCARETBA_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCARETBA_01) up to the sixth-most-recent birth (i.e., ANCARETBA_02, ANCARETBA_03, ANCARETBA_04, ANCARETBA_05, and ANCARETBA_06) during the reference period prior to the survey.  If ANCARETBA_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information on prenatal care from a traditional birth attendant was collected for only the most recent birth (ANCARETBA_01) and, in some cases, the second-most-recent birth (ANCARETBA_02).  Surveys in which the data were collected for only the most recent births are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANCARETBA_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCARETBA_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V884" name="W_ANCARETBA_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave prenatal care (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCARETBA_01 (M2G_1) indicates whether a traditional birth attendant gave antenatal care (for the last birth). Wording for this response category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V885" name="W_ANCARETBA_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave prenatal care (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V886" name="W_ANCARETBA_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave prenatal care (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V887" name="W_ANCARETBA_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave prenatal care (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V888" name="W_ANCARETBA_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave prenatal care (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V889" name="W_ANCARETBA_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave prenatal care (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V890" name="W_ANCAREOTH_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave prenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCAREOTH_ALL (M2K_x) indicates whether some other type of person gave antenatal care. The meaning of "other" depends on the types of providers of antenatal care specified in a given survey. Women could report more than one type of healthcare (or traditional) provider. 

ANCAREOTH_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCAREOTH_01) up to the sixth-most-recent birth (i.e., ANCAREOTH_02, ANCAREOTH_03, ANCAREOTH_04, ANCAREOTH_05, and ANCAREOTH_06) during the reference period prior to the survey.  If ANCAREOTH_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information on prenatal care from some other person was collected for only the most recent birth (ANCAREOTH_01) and, in some cases, the second-most-recent birth (ANCAREOTH_02).  Surveys in which the data were collected for only the most recent births are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANCAREOTH_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCAREOTH_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V891" name="W_ANCAREOTH_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave prenatal care (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCAREOTH_01 (M2K_1) indicates whether some other person gave antenatal care (for the last birth). The meaning of "other" must be interpreted relative to the specific categories included in a given sample. 

Women could report more than one type of healthcare (or traditional) provider.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V892" name="W_ANCAREOTH_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave prenatal care (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V893" name="W_ANCAREOTH_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave prenatal care (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V894" name="W_ANCAREOTH_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave prenatal care (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V895" name="W_ANCAREOTH_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave prenatal care (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V896" name="W_ANCAREOTH_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Other person gave prenatal care (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V897" name="W_ANCARENONE_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received no prenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCARENONE_ALL (M2N_x) indicates whether no one gave antenatal care. The structure of the question varied across samples. See Comparability. 

ANCARENONE_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCARENONE_01) up to the sixth-most-recent birth (i.e., ANCARENONE_02, ANCARENONE_03, ANCARENONE_04, ANCARENONE_05, and ANCAaRENONE_06) during the reference period prior to the survey.  If ANCARENONE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANCARENONE_01) and, in some cases, the second-most-recent birth (ANCARENONE_02).  Surveys in which the data were collected for only the most recent birth are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANCARENONE_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCARENONE_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V898" name="W_ANCARENONE_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received no prenatal care (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, ANCARENONE_01 (M2N_1) indicates whether no one gave antenatal care (for the last birth). The structure of the question varied across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V899" name="W_ANCARENONE_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received no prenatal care (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V900" name="W_ANCARENONE_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received no prenatal care (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V901" name="W_ANCARENONE_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received no prenatal care (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V902" name="W_ANCARENONE_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received no prenatal care (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V903" name="W_ANCARENONE_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Received no prenatal care (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V904" name="W_ANTETNUS_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Tetanus injection before birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANTETNUS_ALL indicates whether tetanus (toxicoid) injections were given during the pregnancy to avoid convulsions after birth.

ANTETNUS_ALL consists of a set of up to six separate variables, covering the most recent birth (ANTETNUS_01) up to, potentially, the sixth-most-recent birth (i.e., ANTETNUS_02, ANTETNUS_03, ANTETNUS_04, ANTETNUS_05, and ANTETNUS_06) during the reference period prior to the survey.  If ANTETNUS_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information on receipt of tetanus injections during pregnancy was collected for only the most recent birth (ANTETNUS_01) and, in some cases, the second-most-recent birth (ANTETNUS_02).  Surveys in which the data were collected for only the most recent births are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANTETNUS_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANTETNUS_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V905" name="W_ANTETNUS_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Tetanus injection before birth (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, ANTETNUS_01 indicates whether tetanus (toxicoid) injections were given during the pregnancy to avoid convulsions after birth (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V906" name="W_ANTETNUS_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Tetanus injection before birth (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V907" name="W_ANTETNUS_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Tetanus injection before birth (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V908" name="W_ANTETNUS_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Tetanus injection before birth (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V909" name="W_ANTETNUS_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Tetanus injection before birth (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V910" name="W_ANTETNUS_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Tetanus injection before birth (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V911" name="W_ANTETNUSNO_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of tetanus injections during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANTETNUSNO_ALL (M1_x) indicates whether, and how many, tetanus (toxicoid) injections were given during the pregnancy to avoid convulsions after birth (for the last birth). For a similar variable that only reports whether a tetanus injection was received, see ANTETNUS_ALL.

ANTETNUSNO_ALL consists of a set of up to six separate variables, covering the most recent birth (ANTETNUSNO_01) up to, potentially, the sixth-most-recent birth (i.e., ANTETNUSNO_02, ANTETNUSNO_03, ANTETNUSNO_04, ANTETNUSNO_05, and ANTETNUSNO_06) during the reference period prior to the survey.  If ANTETNUSNO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANTETNUSNO_01) and, in some cases, the second-most-recent birth (ANTETNUSNO_02).  Surveys in which the data were collected for only the most recent births are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANTETNUSNO_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANTETNUSNO_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V912" name="W_ANTETNUSNO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of tetanus injections before birth (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See ANTETNUSNO_ALL.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V913" name="W_ANTETNUSNO_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of tetanus injections during pregnancy (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V914" name="W_ANTETNUSNO_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of tetanus injections during pregnancy (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V915" name="W_ANTETNUSNO_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of tetanus injections during pregnancy (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V916" name="W_ANTETNUSNO_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of tetanus injections during pregnancy (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V917" name="W_ANTETNUSNO_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of tetanus injections during pregnancy (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V918" name="W_PRETETNUSNO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of tetanus injections before pregnancy ending in most recent birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the three to five years before the survey and who received fewer than 2 tetanus injections during the pregnancy ending in her most recent birth, PRETETNUSNO_01 (M1A_1) reports the number of tetanus injections received before that pregnancy (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Received no injection
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V919" name="W_PRETETNUSAGO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Years between prior tetanus injection and the pregnancy ending in last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the three to five years before the survey and who received at least one tetanus injection prior to the pregnancy ending in her last birth, PRETETNUSAGO_01 (M1D_1) reports the number of years between that tetanus injection and the beginning of that pregnancy (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V920" name="W_PRETETNUSCMC_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        CMC date of tetanus injection preceding the pregnancy ending in last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the three to five years before the survey and who received at least one tetanus injection prior to the pregnancy ending in her last birth, PRETETNUSCMC_01 (M1E_1) reports the century month code for the date of that pre-pregnancy tetanus injection (for the last birth).
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Can't be determined
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V921" name="W_PRETETNUSMO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Month of most recent tetanus injection before pregnancy ending in last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the three to five years before the survey and who received at least one tetanus injection before the pregnancy ending in her most recent birth, PRETETNUSMO_01 (M1B_1) reports the calendar month of the last tetanus injection before that pregnancy (for the last birth).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V922" name="W_PRETETNUSYR_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Year of most recent tetanus injection before pregnancy ending in last birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1974" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the three to five years before the survey and who received at least one tetanus injection before the pregnancy ending in her most recent birth, PRETETNUSYR_01 (M1C_1) reports the calendar year of the last tetanus injection received before that pregnancy (for the last birth).
      </txt>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V923" name="W_ANIRON_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care: Took iron tablets/syrup during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANIRON_ALL (M45_x) indicates whether they took iron tablets or syrup during the pregnancy.

ANIRON_ALL consists of a set of up to six separate variables, covering the most recent birth (ANIRON_01) up to, potentially, the sixth-most-recent birth (i.e., ANIRON_02, ANIRON_03, ANIRON_04, ANIRON_05, and ANIRON_06) during the reference period prior to the survey.  If ANIRON_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For most surveys, this information on taking iron supplements during pregnancy was collected for only the most recent birth (ANIRON_01).  Surveys in which the data were collected for additional births are noted in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANIRON_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V924" name="W_ANIRON_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care: Took iron tablets/syrup during pregnancy (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, ANIRON_01 (M45_1) indicates whether they took iron tablets or syrup during the pregnancy (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V925" name="W_ANIRON_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care: Took iron tablets/syrup during pregnancy (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V926" name="W_ANIRON_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care: Took iron tablets/syrup during pregnancy (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V927" name="W_ANIRON_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care: Took iron tablets/syrup during pregnancy (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V928" name="W_ANIRON_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care: Took iron tablets/syrup during pregnancy (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V929" name="W_ANIRON_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care: Took iron tablets/syrup during pregnancy (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V930" name="W_ANIROND_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Days antenatal iron supplement taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANIROND_ALL (M46_x) indicates the number of days they took iron tablets or syrup during the pregnancy. 

ANIROND_ALL consists of a set of up to six separate variables, covering the most recent birth (ANIROND_01) up to, potentially, the sixth most recent birth (i.e., ANIROND_02, ANIROND_03, ANIROND_04, ANIROND_05, and ANIROND_06) during the reference period prior to the survey.  If ANIROND_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For most surveys, this information on days of taking iron supplements during pregnancy was collected for only the most recent birth (ANIROND_01).  Surveys in which the data were collected for additional births are noted in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANIROND_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V931" name="W_ANIROND_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Days antenatal iron supplement taken (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, ANIROND_01 (M46_1) indicates the number of days they took iron tablets or syrup (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not taken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V932" name="W_ANIROND_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Days antenatal iron supplement taken (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not taken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159 days
        </labl>
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      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          200 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V933" name="W_ANIROND_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Days antenatal iron supplement taken (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not taken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161 days
        </labl>
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      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171 days
        </labl>
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      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172 days
        </labl>
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      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174 days
        </labl>
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      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175 days
        </labl>
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      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          200 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V934" name="W_ANIROND_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Days antenatal iron supplement taken (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not taken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53 days
        </labl>
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      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54 days
        </labl>
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      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55 days
        </labl>
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      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115 days
        </labl>
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      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118 days
        </labl>
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      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119 days
        </labl>
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      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121 days
        </labl>
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      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122 days
        </labl>
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      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182 days
        </labl>
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      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          200 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202 days
        </labl>
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      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V935" name="W_ANIROND_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Days antenatal iron supplement taken (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not taken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120 days
        </labl>
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      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121 days
        </labl>
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      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122 days
        </labl>
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      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123 days
        </labl>
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      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124 days
        </labl>
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      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125 days
        </labl>
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      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126 days
        </labl>
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      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128 days
        </labl>
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      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129 days
        </labl>
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      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130 days
        </labl>
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      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131 days
        </labl>
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      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132 days
        </labl>
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      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133 days
        </labl>
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      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134 days
        </labl>
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      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135 days
        </labl>
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      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136 days
        </labl>
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      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137 days
        </labl>
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      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138 days
        </labl>
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      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139 days
        </labl>
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      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140 days
        </labl>
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      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141 days
        </labl>
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      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142 days
        </labl>
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      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143 days
        </labl>
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      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144 days
        </labl>
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      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145 days
        </labl>
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      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146 days
        </labl>
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      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147 days
        </labl>
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      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148 days
        </labl>
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      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151 days
        </labl>
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      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152 days
        </labl>
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      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153 days
        </labl>
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      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154 days
        </labl>
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      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155 days
        </labl>
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      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171 days
        </labl>
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      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172 days
        </labl>
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      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173 days
        </labl>
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      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174 days
        </labl>
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      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187 days
        </labl>
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      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192 days
        </labl>
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      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193 days
        </labl>
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      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194 days
        </labl>
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      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195 days
        </labl>
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      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          200 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V936" name="W_ANIROND_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Days antenatal iron supplement taken (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not taken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122 days
        </labl>
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      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124 days
        </labl>
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      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129 days
        </labl>
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      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131 days
        </labl>
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      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132 days
        </labl>
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      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134 days
        </labl>
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      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135 days
        </labl>
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      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136 days
        </labl>
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      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137 days
        </labl>
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      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138 days
        </labl>
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      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139 days
        </labl>
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      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142 days
        </labl>
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      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143 days
        </labl>
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      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145 days
        </labl>
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      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          200 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V937" name="W_ANMALNONE_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Took no drug for malaria during pregnancy (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the 5 years before the survey, ANMALNONE_01 (M49Y_1) indicates whether she took no antimalarial drug while pregnant (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V938" name="W_ANMALSP_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Took SP/Fansidar for malaria during pregnancy (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the 5 years before the survey, ANMALSP_01 (M49A_1) indicates whether she took the antimalarial drug sulfadoxine/pyrimethamine (SP), also known as Fansidar, while pregnant (for the last birth). Other common trade names include Maloxine, Malafan, Metakelfin (sulphamethoxypyrazine/pyrimethamine), Novidar, and Amalar.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V939" name="W_ANMALOTH_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Took other drug for malaria during pregnancy (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the 5 years before the survey, ANMALOTH_01 (M49X_1) indicates whether she took some other antimalarial drug while pregnant (for the last birth). The meaning of "other" must be interpreted relative to the specific categories included in a particular sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V940" name="W_ANMALDK_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Don't know if/which drug taken for malaria during pregnancy (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the 5 years before the survey, ANMALDK_01 (M49Z_1) indicates whether she took did not know if she took an antimalarial drug while pregnant (for the last birth), or did not know the name of such a drug taken during the pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V941" name="W_ANMALSPNO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Times took SP/Fansidar during pregnancy (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who recently gave birth and took SP/Fansidar while pregnant, ANMALSPNO_01 (ML1_01) reports the number of times the mother took SP/Fansidar during the pregnancy (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V942" name="W_ANMALSPSRC_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source for SP/Fansidar during pregnancy (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who took SP/Fansidar while the recently pregnant, ANMALSPSRC_01 (ML2_01) indicates whether the SP/Fansidar came from an antenatal care visit, another visit to a health facility, or from some other source (for the last birth). This drug is used to treat malaria.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Antenatal visit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Another facility visit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V943" name="W_ANCAREMW2_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Doctor/clinical officer gave prenatal care for last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last five years, ANCAREMW2_01 indicates whether, in response to an open-ended question, they reported that a doctor/clinical officer gave antenatal care (for the last birth). This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V944" name="W_ANCAREMW3_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Patient attendant gave prenatal care for last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last five years, ANCAREMW3_01 indicates whether, in response to an open-ended question, they reported that a ward/patient attendant gave antenatal care (for the last birth). This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V945" name="W_ANCAREMW5_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Health surveillance assistant gave prenatal care for last birth (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last five years, ANCAREMW5_01 indicates whether, in response to an open-ended question, they reported that a health surveillance assistant gave antenatal care (for the last birth). This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal antenatal care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V946" name="W_ANCHOME_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Home (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCHOME_01 (M57A_1) indicates whether, in response to an open-ended question, they reported receiving care at their home.

IPUMS-DHS users interested in using ANCHOME_01 may also be interested in ANCHOMEOTH_01 (received antenatal care at some "other" home).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V947" name="W_ANCHOMEOTH_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Other's home (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCHOMEOTH_01 (M57B_1) indicates whether, in response to an open-ended question, they reported receiving care at some "other" home. The meaning of "other" varies depending on the specific "home" sources included in a given survey.

IPUMS-DHS users interested in using ANCHOMEOTH_01 may also be interested in ANCHOME_01 (received antenatal care at their own home).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V948" name="W_ANCPRIVFPC_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Private family planning clinic (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCPRIVFPC_01 indicates whether, in response to an open-ended question, they reported receiving care at a private family planning clinic.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V949" name="W_ANCPRIVHOS_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Private hospital/clinic (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCPRIVHOS_01 (M57M_1) indicates whether, in response to an open-ended question, they reported receiving care at a private hospital or clinic.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as ANCPRIVHOS_01, while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V950" name="W_ANCPRIVMIS_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Religious/mission facility (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCPRIVMIS_01 indicates whether, in response to an open-ended question, they reported receiving care at a faith-based health facility.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as ANCPRIVMIS_01, while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V951" name="W_ANCPRIVMOB_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Private mobile clinic (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCPRIVMOB_01 (M57N_1) indicates whether, in response to an open-ended question, they reported receiving care at a private mobile clinic. 

IPUMS-DHS users should be careful to distinguish ANCPRIVMOB_01 from ANCPUBMOB_01 (public mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V952" name="W_ANCPRIVOTH_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Other private sector (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCPRIVOTH_01 (M57R_1) indicates whether, in response to an open-ended question, they reported receiving care at some "other" private medical source. The meaning of "other" depends on the specific response categories included in a given sample.

IPUMS-DHS users should be careful to distinguish ANCPRIVOTH_01 from ANCPUBOTH_01 ("other" under the public medical sector) and ANCOTHER_01 ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V953" name="W_ANCPUBHC_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Public health center (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCPUBHC_01 (M57F_1) indicates whether, in response to an open-ended question, they reported receiving care at a public health center.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as ANCPUBHC_01, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V954" name="W_ANCPUBHOS_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Public hospital (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCPUBHOS_01 (M57E_1) indicates whether, in response to an open-ended question, they reported receiving care at a public hospital.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as ANCPUBHOS_01, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V955" name="W_ANCPUBHP_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Public health post (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCPUBHP_01 (M57G_1) indicates whether, in response to an open-ended question, they reported receiving care at a public health post.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V956" name="W_ANCPUBMOB_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Public mobile clinic (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCPUBMOB_01 (M57H_1) indicates whether, in response to an open-ended question, they reported receiving care at a public mobile clinic. 

IPUMS-DHS users should be careful to distinguish ANCPUBMOB_01 from ANCPRIVMOB_01 (private mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V957" name="W_ANCPUBOTH_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Other public sector (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCPUBOTH_01 (M57L_1) indicates whether, in response to an open-ended question, they reported receiving care at some "other" public medical source. The meaning of "other" depends on the specific response categories included in a given sample.

IPUMS-DHS users should be careful to distinguish ANCPUBOTH_01 from ANCPRIVOTH_01 ("other" under the private medical sector) and ANCOTHER_01 ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V958" name="W_ANCOTHER_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Other (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years and who received antenatal care during their most recent pregnancy, ANCOTHER_01 (M57X) indicates whether, in response to an open-ended question, they reported receiving care at some "other" source. The meaning of "other" depends on the specific response categories included in a given sample.

IPUMS-DHS users should be careful to distinguish ANCOTHER_01 from ANCPUBOTH_01 ("other" under the public medical sector) and ANCPRIVOTH_01 ("other" under the private medical sector). ANCOTHER_01 includes those "other" categories that do not fit into the public or private medical sector.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V959" name="W_ANCMW1_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Religious hospital (Malawi) (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last 5 years and who received antenatal care during their most recent pregnancy, ANCMW1_01 indicates whether, in response to an open-ended question, they reported receiving care at a religious hospital. This response category is country-specific to Malawi.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ANCMW1_01 is combined with ANCMW2_01 (religious health center) in ANCPRIVMIS_01 (all faith-based facilities) for the 2004, 2010, and 2016 Malawi samples. IPUMS-DHS users interested in using ANCMW1_01 are encouraged to review ANCPRIVMIS_01 for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V960" name="W_ANCMW2_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Religious health center (Malawi) (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last 5 years and who received antenatal care during their most recent pregnancy, ANCMW2_01 indicates whether, in response to an open-ended question, they reported receiving care at a religious health center. This response category is country-specific to Malawi.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ANCMW2_01 is combined with ANCMW1_01 (religious hospital) in ANCPRIVMIS_01 (all faith-based facilities) for the 2004, 2010, and 2016 Malawi samples. IPUMS-DHS users interested in using ANCMW2_01 are encouraged to review ANCPRIVMIS_01 for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for maternal antenatal care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V961" name="W_ANCARECOM_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told about pregnancy complications
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, ANCARECOM_ALL (M43_x) indicates whether the woman was told about the signs of pregnancy complications during an antenatal care visit.

ANCARECOM_ALL consists of separate variables, covering the most recent birth (ANCARECOM_01) and, in some cases, additional births, up to, potentially, the sixth-most-recent birth (i.e., ANCARECOM_02, ANCARECOM_03, ANCARECOM_04, ANCARECOM_05, and ANCARECOM_06). For most surveys, this information on informing the woman about pregnancy complications was collected for only the most recent birth; exceptions are noted in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCARECOM_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V962" name="W_ANCARECOM_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told about pregnancy complications (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the three to five years before the survey, ANCARECOM_01 (M43_1) indicates whether the woman was told about the signs of pregnancy complications during antenatal care (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V963" name="W_ANCARECOM_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told about pregnancy complications (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V964" name="W_ANCARECOM_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told about pregnancy complications (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V965" name="W_ANCARECOM_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told about pregnancy complications (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V966" name="W_ANCARECOM_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told about pregnancy complications (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V967" name="W_ANCARECOM_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told about pregnancy complications (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V968" name="W_ANCARECGO_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told where to go for pregnancy complications
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years and were told about the signs of pregnancy complications, ANCARECGO_ALL (M44_x) indicates whether the woman was told where to go if she had pregnancy complications.

ANCARECGO_ALL consists of separate variables, covering the most recent birth (ANCARECGO_01) and, in some cases, additional births, up to, potentially, the sixth-most-recent birth (i.e., ANCARECGO_02, ANCARECGO_03, ANCARECGO_04, ANCARECGO_05, and ANCARECGO_06). For most surveys, this information was collected for only the most recent birth; exceptions are noted in the comparability section.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          ANCARECGO_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V969" name="W_ANCARECGO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told where to go for pregnancy complications (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years and were told about the signs of pregnancy complications, ANCARECGO_01 (M44_1) indicates whether they were told where to go if they had such complications (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V970" name="W_ANCARECGO_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told where to go for pregnancy complications (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V971" name="W_ANCARECGO_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told where to go for pregnancy complications (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V972" name="W_ANCARECGO_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told where to go for pregnancy complications (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V973" name="W_ANCARECGO_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told where to go for pregnancy complications (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V974" name="W_ANCARECGO_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Told where to go for pregnancy complications (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V975" name="W_PPAMENNOW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman currently postpartum amenorrheic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPAMENNOW (V405) reports whether the woman is currently postpartum amenorrheic. This variable is created from the maternity history by checking if menstruation resumed after birth. Women who are currently pregnant (irrespective of whether the woman's period returned after her last birth) and women who did not have births in the last three to five years are automatically reported as not currently amenorrheic, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V976" name="W_PPABSTAINNOW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman currently postpartum abstaining
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPABSTAINNOW (V406) reports whether the woman is currently postpartum abstaining from sex. This variable is created from the maternity history by checking if the respondent has resumed sexual relations since her last birth. Women who did not have births in the last three to five years are automatically reported as not currently abstaining, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V977" name="W_KIDDOBCMC_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[KIDDOBCMC_ALL (B3_x) reports the century month code for the date of birth of the child. 

KIDDOBCMC_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDDOBCMC_01) up to the twentieth-most-recent birth (KIDDOBCMC_20) for a female respondent of childbearing age.  If KIDDOBCMC_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDDOBCMC_20 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          KIDDOBCMC_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V978" name="W_KIDDOBCMC_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V979" name="W_KIDDOBCMC_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (second-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V980" name="W_KIDDOBCMC_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (third-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V981" name="W_KIDDOBCMC_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (fourth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V982" name="W_KIDDOBCMC_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (fifth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V983" name="W_KIDDOBCMC_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (sixth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V984" name="W_KIDDOBCMC_07" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (seventh-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V985" name="W_KIDDOBCMC_08" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (eighth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V986" name="W_KIDDOBCMC_09" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (ninth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V987" name="W_KIDDOBCMC_10" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (tenth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V988" name="W_KIDDOBCMC_11" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (eleventh-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V989" name="W_KIDDOBCMC_12" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (twelfth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V990" name="W_KIDDOBCMC_13" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (thirteenth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V991" name="W_KIDDOBCMC_14" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (fourteenth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V992" name="W_KIDDOBCMC_15" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (fifteenth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V993" name="W_KIDDOBCMC_16" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (sixteenth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V994" name="W_KIDDOBCMC_17" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (seventeenth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V995" name="W_KIDDOBCMC_18" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (eighteenth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V996" name="W_KIDDOBCMC_19" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (nineteenth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V997" name="W_KIDDOBCMC_20" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's date of birth (CMC) (twentieth-to-last-born child)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V998" name="W_KIDSEX_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[KIDSEX _ALL (B4_x) reports the sex of each birth reported by women of childbearing age. 

KIDSEX_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDSEX_01) up to the twentieth-most-recent birth (KIDSEX_20) for a female respondent of childbearing age.  If KIDSEX_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births for a woman, up to a maximum of twenty. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDSEX_20 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          KIDSEX_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V999" name="W_KIDSEX_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1000" name="W_KIDSEX_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (second most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1001" name="W_KIDSEX_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (third most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1002" name="W_KIDSEX_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (fourth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1003" name="W_KIDSEX_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (fifth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1004" name="W_KIDSEX_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (sixth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1005" name="W_KIDSEX_07" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (seventh most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1006" name="W_KIDSEX_08" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (eighth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1007" name="W_KIDSEX_09" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (ninth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1008" name="W_KIDSEX_10" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (tenth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1009" name="W_KIDSEX_11" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (eleventh most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1010" name="W_KIDSEX_12" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (twelfth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1011" name="W_KIDSEX_13" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (thirteenth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1012" name="W_KIDSEX_14" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (fourteenth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1013" name="W_KIDSEX_15" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (fifteenth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1014" name="W_KIDSEX_16" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (sixteenth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1015" name="W_KIDSEX_17" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (seventeenth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1016" name="W_KIDSEX_18" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (eighteenth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1017" name="W_KIDSEX_19" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (nineteenth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1018" name="W_KIDSEX_20" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Sex of child (twentieth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1019" name="W_KIDALIVE_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[KIDALIVE _ALL (B5_x) indicates whether each birth reported by a woman of childbearing age is alive. 

KIDALIVE_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDALIVE_01) up to the twentieth-most-recent birth (KIDALIVE_20) for a female respondent of childbearing age.  If KIDALIVE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births for a woman, up to a maximum of twenty. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDALIVE_20 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          KIDALIVE_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1020" name="W_KIDALIVE_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1021" name="W_KIDALIVE_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (second most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1022" name="W_KIDALIVE_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (third most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1023" name="W_KIDALIVE_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (fourth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1024" name="W_KIDALIVE_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (fifth most recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1025" name="W_KIDALIVE_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (sixth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1026" name="W_KIDALIVE_07" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (seventh recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1027" name="W_KIDALIVE_08" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (eighth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1028" name="W_KIDALIVE_09" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (ninth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1029" name="W_KIDALIVE_10" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (tenth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1030" name="W_KIDALIVE_11" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (eleventh recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1031" name="W_KIDALIVE_12" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (twelfth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1032" name="W_KIDALIVE_13" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (thirteenth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1033" name="W_KIDALIVE_14" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (fourteenth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1034" name="W_KIDALIVE_15" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (fifteenth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1035" name="W_KIDALIVE_16" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (sixteenth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1036" name="W_KIDALIVE_17" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (seventeenth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1037" name="W_KIDALIVE_18" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (eighteenth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1038" name="W_KIDALIVE_19" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (nineteenth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1039" name="W_KIDALIVE_20" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child is alive (twentieth recent birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1040" name="W_KIDAGEDIEDIMP_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[KIDAGEDIEDIMP _ALL (B7_x) reports the age of the deceased child at death in months (including imputed ages).  

KIDAGEDIEDIMP_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDAGEDIEDIMP_01) up to the twentieth-most-recent birth (KIDAGEDIEDIMP_20) for a female respondent of childbearing age.  If KIDAGEDIEDIMP_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDAGEDIEDIMP_20 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          KIDAGEDIEDIMP_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1041" name="W_KIDAGEDIEDIMP_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1042" name="W_KIDAGEDIEDIMP_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (second-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1043" name="W_KIDAGEDIEDIMP_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (third-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1044" name="W_KIDAGEDIEDIMP_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (fourth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1045" name="W_KIDAGEDIEDIMP_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (fifth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1046" name="W_KIDAGEDIEDIMP_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (sixth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1047" name="W_KIDAGEDIEDIMP_07" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (seventh-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1048" name="W_KIDAGEDIEDIMP_08" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (eighth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1049" name="W_KIDAGEDIEDIMP_09" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (ninth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1050" name="W_KIDAGEDIEDIMP_10" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (tenth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1051" name="W_KIDAGEDIEDIMP_11" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (eleventh-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1052" name="W_KIDAGEDIEDIMP_12" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (twelfth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1053" name="W_KIDAGEDIEDIMP_13" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (thirteenth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1054" name="W_KIDAGEDIEDIMP_14" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (fourteenth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1055" name="W_KIDAGEDIEDIMP_15" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (fifteenth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1056" name="W_KIDAGEDIEDIMP_16" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (sixteenth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1057" name="W_KIDAGEDIEDIMP_17" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (seventeenth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1058" name="W_KIDAGEDIEDIMP_18" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (eighteenth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1059" name="W_KIDAGEDIEDIMP_19" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (nineteenth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1060" name="W_KIDAGEDIEDIMP_20" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in months (including imputed) (twentieth-to-last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1061" name="W_BIRTHSZ_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Size of child at birth (subjective report)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, BIRTHSZ_ALL (M18_x) indicates the size of child at birth, reported subjectively. 

BIRTHSZ_ALL consists of a set of up to six separate variables, covering the most recent birth (BIRTHSZ_01) up to, potentially, the sixth-most-recent birth (i.e., BIRTHSZ_02, BIRTHSZ_03, BIRTHSZ_04, BIRTHSZ_05, and BIRTHSZ_06) during the reference period prior to the survey.  If BIRTHSZ_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

This information was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BIRTHSZ_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BIRTHSZ_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1062" name="W_BIRTHSZ_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Size of child at birth (subjective report) (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See BIRTHSZ_ALL.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Very large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Larger than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Smaller than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Very small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1063" name="W_BIRTHSZ_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Size of child at birth (subjective report) (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Very large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Larger than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Smaller than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Very small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1064" name="W_BIRTHSZ_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Size of child at birth (subjective report) (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Very large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Larger than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Smaller than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Very small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1065" name="W_BIRTHSZ_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Size of child at birth (subjective report) (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Very large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Larger than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Smaller than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Very small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1066" name="W_BIRTHSZ_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Size of child at birth (subjective report) (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Very large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Larger than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Smaller than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Very small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1067" name="W_BIRTHSZ_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Size of child at birth (subjective report) (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Very large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Larger than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Smaller than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Very small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1068" name="W_BIRTHWT_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Birthweight in kilos
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, BIRTHWT_ALL (M19_x) reports the child's birthweight in kilos with three implied decimal places (or, alternatively stated, in grams with no decimal places). Children who were not weighed are coded 9996.

BIRTHWT_ALL consists of a set of up to six separate variables, covering the most recent birth (BIRTHWT_01) up to, potentially, the sixth-most-recent birth (i.e., BIRTHWT_02, BIRTHWT_03, BIRTHWT_04, BIRTHWT_05, and BIRTHWT_06) during the reference period prior to the survey.  If BIRTHWT_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

This information was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BIRTHWT_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BIRTHWT_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1069" name="W_BIRTHWT_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Birthweight in kilos (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, BIRTHWT_01 (M19_1) reports the last-born child's birthweight in kilos with three implied decimal places (or, alternatively stated, in grams with no decimal places). Children who were not weighed are coded 9996.
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          9995+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Not weighed at birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1070" name="W_BIRTHWT_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Birthweight in kilos (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          9995+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Not weighed at birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1071" name="W_BIRTHWT_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Birthweight in kilos (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          9995+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Not weighed at birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1072" name="W_BIRTHWT_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Birthweight in kilos (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          9995+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Not weighed at birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1073" name="W_BIRTHWT_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Birthweight in kilos (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          9995+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Not weighed at birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1074" name="W_BIRTHWT_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Birthweight in kilos (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          9995+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Not weighed at birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1075" name="W_BIRTHWTREF_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of weight at birth (health card or recall)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, BIRTHWTREF_ALL (M19A_x) indicates whether the child's reported weight at birth (BIRTHWT_ALL) was recorded from a health card or based on the mother's recall.  Children who were not weighed are coded 9996.

BIRTHWTREF_ALL consists of a set of up to six separate variables, covering the most recent birth (BIRTHWTREF_01) up to, potentially, the sixth-most-recent birth (i.e., BIRTHWTREF_02, BIRTHWTREF_03, BIRTHWTREF_04, BIRTHWTREF_05, and BIRTHWTREF_06) during the reference period prior to the survey.  If BIRTHWTREF_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

This information was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BIRTHWTREF_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BIRTHWTREF_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1076" name="W_BIRTHWTREF_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of birthweight info (health card or recall) (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, BIRTHWTREF_01 (M19A_1) indicates whether the child's reported weight at birth (BIRTHWT_01) was recorded from a health card or based on the mother's recall. Children who were not weighed at birth are coded 0.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not weighed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          From written card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From mother's recall
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other answers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1077" name="W_BIRTHWTREF_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of weight at birth (health card or recall) (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not weighed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          From written card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From mother's recall
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other answers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1078" name="W_BIRTHWTREF_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of weight at birth (health card or recall) (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not weighed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          From written card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From mother's recall
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other answers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1079" name="W_BIRTHWTREF_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of weight at birth (health card or recall) (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not weighed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          From written card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From mother's recall
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other answers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1080" name="W_BIRTHWTREF_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of weight at birth (health card or recall) (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not weighed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          From written card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From mother's recall
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other answers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1081" name="W_BIRTHWTREF_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Source of weight at birth (health card or recall) (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not weighed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          From written card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From mother's recall
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other answers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1082" name="W_CHDESIRE_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, CHDESIRE_ALL (M10_x) indicates whether the child was wanted at the time of pregnancy, was wanted but later, or was not wanted at all.

CHDESIRE_ALL consists of a set of up to six separate variables, covering the most recent birth (CHDESIRE_01) up to, potentially, the sixth-most-recent birth (i.e., CHDESIRE_02, CHDESIRE_03, CHDESIRE_04, CHDESIRE_05, and CHDESIRE_06) during the reference period prior to the survey.  If CHDESIRE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

This information was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then CHDESIRE_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1083" name="W_CHDESIRE_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted pregnancy (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, CHDESIRE_01 (M10_1) indicates whether the last-born child was wanted at the time of pregnancy, was wanted but later, or was not wanted at all.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1084" name="W_CHDESIRE_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted pregnancy (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1085" name="W_CHDESIRE_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted pregnancy (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1086" name="W_CHDESIRE_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted pregnancy (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1087" name="W_CHDESIRE_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted pregnancy (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1088" name="W_CHDESIRE_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted pregnancy (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1089" name="W_CHDESIREL_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted to wait before pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the three to five years before the survey and who wanted to become pregnant later, CHDESIREL_ALL (M11_x) reports the length of time they would have wanted to wait. Following DHS convention, intervals reported in weeks are coded with a "1" in the first digit, while intervals reported in years are coded with a "2" in the first digit.

CHDESIREL_ALL consists of a set of up to six separate variables, covering the most recent birth (CHDESIREL_01) up to, potentially, the sixth-most-recent birth (i.e., CHDESIREREL_02, CHDESIREL_03, CHDESIREREL_04, CHDESIREL_05, and CHDESIREL_06) during the reference period prior to the survey.  If CHDESIREL_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For nearly all samples, this information was collected for all births within the reference period preceding the survey. (See Comparability for information about exceptions.) In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then CHDESIREL_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          CHDESIREL_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1090" name="W_CHDESIREL_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted to wait before pregnancy (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See CHDESIREL_ALL.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Weeks, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1091" name="W_CHDESIREL_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted to wait before pregnancy (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Months, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1092" name="W_CHDESIREL_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted to wait before pregnancy (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Weeks, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1093" name="W_CHDESIREL_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted to wait before pregnancy (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Weeks, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1094" name="W_CHDESIREL_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted to wait before pregnancy (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Weeks, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1095" name="W_CHDESIREL_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time wanted to wait before pregnancy (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Weeks, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1096" name="W_PPAMHMO_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum amenorrhea in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPAMHMO_ALL reports the duration, in months, of postpartum amenorrhea after the birth of the child, for women who gave birth in the last three to five years. Women whose period had not returned at the time of interview were excluded from PPAMHMO_ALL, but women who were still amenorrheic were included in calculations for the similar variable PPAMHMOC_ALL.  

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth. 

PPAMHMO_ALL consists of a set of six separate variables, covering the most recent birth (PPAMHMO_01) up to the sixth-most-recent birth (i.e., PPAMHMO_02, PPAMHMO_03, PPAMHMO_04, PPAMHMO_05, and PPAMHMO_06) during the reference period prior to the survey.  If PPAMHMO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PPAMHMO_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          PPAMHMO_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1097" name="W_PPAMHMO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum amenorrhea in months (last births)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPAMHMO_01 reports the duration, in months, of postpartum amenorrhea after the birth of the child (for the last birth), for women who gave birth in the last three to five years. Women whose period had not returned at the time of interview were excluded from PPAMHMO_01, but women who were still amenorrheic were included in calculations for the similar variable PPAMHMOC_01.  

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Period not returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1098" name="W_PPAMHMO_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum amenorrhea in months (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Period not returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1099" name="W_PPAMHMO_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum amenorrhea in months (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Period not returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1100" name="W_PPAMHMO_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum amenorrhea in months (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Period not returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1101" name="W_PPAMHMO_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum amenorrhea in months (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Period not returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1102" name="W_PPAMHMO_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum amenorrhea in months (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Period not returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1103" name="W_PPAMHMOC_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum amenorrhea (including women still amenorrheic)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPAMHMOC_ALL (M9_x) reports the duration, in months, of postpartum amenorrhea after the birth of the child, for women who gave birth in the last three to five years. Women whose period had not returned before the following birth or prior to the interview were included in PPAMHMOC_ALL.  By contrast, only women whose menses had resumed were included in the similar variable PPAMHMO_ALL. 

PPAMHMOC_ALL consists of a set of six separate variables, covering the most recent birth (PPAMHMOC_01) up to the sixth-most-recent birth (i.e., PPAMHMOC_02, PPAMHMOC_03, PPAMHMOC_04, PPAMHMOC_05, and PPAMHMOC_06) during the reference period prior to the survey.  If PPAMHMOC_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth. 

For DHS Phase II forward, inconsistent durations based on the original reporting of the duration of amenorrhea were recoded to "Inconsistent" (96 in IPUMS-DHS). In cases where the duration was one month longer than the interval, the duration was shortened by one month, consistent with Phase I.  For Model "A" countries in Phase II only, if the duration of postpartum amenorrhea extended into the following pregnancy in the calendar, the duration was shortened to the start of the following pregnancy.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          PPAMHMOC_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1104" name="W_PPAMHMOC_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum amenorrhea (including women still amenorrheic) (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPAMHMOC_01 (M9_1) reports the duration, in months, of postpartum amenorrhea after the birth of the child (for the last birth), for women who gave birth in the last three to five years. Women whose period had not returned before the following birth or prior to the interview were included in PPAMHMOC_01.  By contrast, only women whose menses had resumed were included in the similar variable PPAMHMO_01. 

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth. 

For DHS Phase II forward, inconsistent durations based on the original reporting of the duration of amenorrhea were recoded to "Inconsistent" (96 in IPUMS-DHS). In cases where the duration was one month longer than the interval, the duration was shortened by one month, consistent with Phase I.  For Model "A" countries in Phase II only, if the duration of postpartum amenorrhea extended into the following pregnancy in the calendar, the duration was shortened to the start of the following pregnancy.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1105" name="W_PPAMHMOC_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum amenorrhea (including women still amenorrheic) (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1106" name="W_PPAMHMOC_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum amenorrhea (including women still amenorrheic) (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1107" name="W_PPAMHMOC_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum amenorrhea (including women still amenorrheic) (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1108" name="W_PPAMHMOC_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum amenorrhea (including women still amenorrheic) (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1109" name="W_PPAMHMOC_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum amenorrhea (including women still amenorrheic) (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1110" name="W_PPAMFLAG_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum amenorrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPAMFLAG_ALL (M28_x) reports the type of problem, if any, found in editing data on the duration of postpartum amenorrhea, for women who gave birth in the last three to five years. Cases with no known problem are coded 0.  

PPAMFLAG_ALL consists of a set of six separate variables, covering the most recent birth (PPAMFLAG_01) up to the sixth-most-recent birth (i.e., PPAMFLAG_02, PPAMFLAG_03, PPAMFLAG_04, PPAMFLAG_05, and PPAMFLAG_06) during the reference period prior to the survey.  If PPAMFLAG_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PPAMFLAG_06 would not be available for that survey in IPUMS-DHS. 

For discussion of the editing rules implemented (by the survey administrators) for data on postpartum amenorrhea, see PPAMHMO_ALL and PPAMHMOC_ALL,]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          PPAMFLAG_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1111" name="W_PPAMFLAG_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum amenorrhea (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPAMFLAG_01 (M28_1) reports the type of problem, if any, found in editing data on the duration of postpartum amenorrhea (for the last birth), for women who gave birth in the last three to five years. Cases with no known problem are coded 0.  

For discussion of the editing rules implemented (by the survey administrators) for data on postpartum amenorrhea, see PPAMHMO_01 and PPAMHMOC_01,]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1112" name="W_PPAMFLAG_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum amenorrhea (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1113" name="W_PPAMFLAG_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum amenorrhea (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1114" name="W_PPAMFLAG_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum amenorrhea (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1115" name="W_PPAMFLAG_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum amenorrhea (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1116" name="W_PPAMFLAG_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum amenorrhea (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1117" name="W_PPABMO_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum abstinence (in months)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, PPABMO_ALL (M8_x) indicates the duration, in months, of postpartum abstinence.  Women who were still abstaining at the time of interview were excluded from PPABMO_ALL, but they are included in the similar variable PPABMOC_ALL. 

According to the DHS Recode Manuals, the maximum period allowed during the data editing was the interval between the date of birth of the child and the date of conception of the following child (with date of birth minus nine months used for the date of conception) or until the date of interview if there was no following birth. Cases exceeding this duration were left with the original response, but are coded with one of the flag codes on PPABFLAG_ALL and are coded as "Inconsistent" on PPABMOC_ALL. 

PPABMO_ALL consists of a set of six separate variables, covering the most recent birth (PPABMO_01) up to the sixth-most-recent birth (i.e., PPABMO_02, PPABMO_03, PPABMO_04, PPABMO_05, and PPABMO_06) during the reference period prior to the survey.  If PPABMO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PPABMO_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          PPABMO_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1118" name="W_PPABMO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum abstinence (in months) (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See PPABMO_ALL.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still abstaining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1119" name="W_PPABMO_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum abstinence (in months) (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still abstaining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1120" name="W_PPABMO_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum abstinence (in months) (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still abstaining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1121" name="W_PPABMO_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum abstinence (in months) (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still abstaining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1122" name="W_PPABMO_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum abstinence (in months) (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still abstaining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1123" name="W_PPABMO_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of postpartum abstinence (in months) (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still abstaining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1124" name="W_PPABMOC_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum abstinence (including women still abstaining)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, PPABMOC_ALL (M9_x) reports their calculated months of postpartum abstinence, including the duration for women who were still abstaining at the time of the interview.  The similar variable PPABMO_ALL also reports the calculated months of postpartum abstinence but excludes women who were still abstaining when interviewed.

According to the DHS Recode Manuals, the maximum period allowed during the data editing was the interval between the date of birth of the child and the date of conception of the following child (with date of birth minus nine months used for the date of conception) or until the date of interview if there was no following birth. Cases exceeding this duration are coded with one of the flag codes on PPABFLAG_ALL and are coded as "Inconsistent" in PPABMOC_ALL.

PPABMOC_ALL consists of a set of six separate variables, covering the most recent birth (PPABMOC_01) up to the sixth-most-recent birth (i.e., PPABMOC_02, PPABMOC_03, PPABMOC_04, PPABMOC_05, and PPABMOC_06) during the reference period prior to the survey.  If PPABMOC_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PPABMOC_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          PPABMOC_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1125" name="W_PPABMOC_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum abstinence (including women still abstaining) (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, PPABMOC_01 (M9_1) reports their calculated months of postpartum abstinence (after the last birth), including the duration for women who were still abstaining at the time of the interview.  The similar variable PPABMO_01 also reports the calculated months of postpartum abstinence but excludes women who were still abstaining when interviewed.

According to the DHS Recode Manuals, the maximum period allowed during the data editing was the interval between the date of birth of the child and the date of conception of the following child (with date of birth minus nine months used for the date of conception) or until the date of interview if there was no following birth. Cases exceeding this duration are coded with one of the flag codes on PPABFLAG_01 and are coded as "Inconsistent" in PPABMOC_01.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1126" name="W_PPABMOC_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum abstinence (including women still abstaining) (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1127" name="W_PPABMOC_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum abstinence (including women still abstaining) (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1128" name="W_PPABMOC_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum abstinence (including women still abstaining) (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1129" name="W_PPABMOC_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum abstinence (including women still abstaining) (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1130" name="W_PPABMOC_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Months of postpartum abstinence (including women still abstaining) (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1131" name="W_PPABFLAG_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum abstinence
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPABFLAG_ALL (M29_x) is a flag variable reporting the type of problem found when editing responses about the duration of postpartum abstinence (in PPABMO_ALL), for women who had resumed sexual relations after a birth in the past three to five years.  A code of 0 indicates no problem with the original response.

PPABFLAG_ALL consists of a set of six separate variables, covering the most recent birth (PPABFLAG_01) up to the sixth-most-recent birth (i.e., PPABFLAG_02, PPABFLAG_03, PPABFLAG_04, PPABFLAG_05, and PPABFLAG_06) during the reference period prior to the survey.  If PPAMFLAG_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PPABFLAG_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          PPABFLAG_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1132" name="W_PPABFLAG_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum abstinence (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PPABFLAG_01 (M29_1) is a flag variable reporting the type of problem found when editing responses about the duration of postpartum abstinence (in PPABMO_01), for women who had resumed sexual relations after their last birth in the past three to five years. A code of 0 indicates no problem with the original response.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1133" name="W_PPABFLAG_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum abstinence (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1134" name="W_PPABFLAG_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum abstinence (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1135" name="W_PPABFLAG_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum abstinence (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1136" name="W_PPABFLAG_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum abstinence (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1137" name="W_PPABFLAG_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for postpartum abstinence (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1138" name="W_MATERNITYIDX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of children in maternity history
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MATERNITYIDX (V418) reports the number of entries in the pregnancy and postnatal care history for a female respondent. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, MATERNITYIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, MATERNITYIDX is capped at six.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1139" name="W_HEALTHIDX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of children in immunization/health history
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HEALTHIDX (V418) reports the number of entries (number of children) in the health or immunization history. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, HEALTHIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, HEALTHIDX is capped at six.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1140" name="W_BIOIDX" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of children in height and weight table
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOIDX (V419) reports the number of entries (number of children) in the height and weight table. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, BIOIDX is actually limited to the number of columns on the survey form that can be completed. In most cases, BIOIDX is capped at six.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1141" name="W_LASTBIRTHONLY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Whether survey columns are used for last births only
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LASTBIRTHONLY (V468) indicates whether the column(s) on the women's questionnaire relating to pregnancy and postnatal care relate only to last-born children. In the standard questionnaire, some questions are asked about the last-born child only, while in some countries, these questions are asked about all children born in the last three or five years. LASTBIRTHONLY indicates whether the questionnaire followed the standard or was changed to include more children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          See specific questions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Last birth only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          All births in last 5 years
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1142" name="W_NBFEDANY_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Any liquid other than breast milk given in first 3 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the three to five years preceding the survey and who ever breastfed, NBFEDANY_ALL (M55_x) indicates whether the child was given anything other than breast milk to drink in the first three days after delivery. 

NBFEDANY_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDANY_01) up to the sixth-most-recent birth (i.e., NBFEDANY_02, NBFEDANY_03, NBFEDANY_04, NBFEDANY_05, and NBFEDANY_06) during the reference period prior to the survey.  If NBFEDANY_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDANY_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDANY_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDANY_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1143" name="W_NBFEDANY_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Any liquid other than breast milk given in first 3 days (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the five years preceding the survey and who ever breastfed, NBFEDANY_01 (M55_1) indicates whether the child was given anything other than breast milk to drink in the first three days after delivery (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1144" name="W_NBFEDANY_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Any liquid other than breast milk given in first 3 days (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, given something
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1145" name="W_NBFEDANY_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Any liquid other than breast milk given in first 3 days (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1146" name="W_NBFEDANY_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Any liquid other than breast milk given in first 3 days (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1147" name="W_NBFEDANY_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Any liquid other than breast milk given in first 3 days (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1148" name="W_NBFEDANY_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Any liquid other than breast milk given in first 3 days (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1149" name="W_NBFEDMILK_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Milk
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, NBFEDMILK_ALL (M55A_x) indicates whether the child was given milk in the first three days after birth.

NBFEDMILK_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDMILK_01) up to the sixth-most-recent birth (i.e., NBFEDMILK_02, NBFEDMILK_03, NBFEDMILK_04, NBFEDMILK_05, and NBFEDMILK_06) during the reference period prior to the survey.  If NBFEDMILK_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDMILK_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDMILK_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDMILK_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1150" name="W_NBFEDMILK_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Milk (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, NBFEDMILK_01 (M55A_1) indicates whether the child was given milk in the first three days (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1151" name="W_NBFEDMILK_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Milk (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1152" name="W_NBFEDMILK_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Milk (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1153" name="W_NBFEDMILK_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Milk (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1154" name="W_NBFEDMILK_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Milk (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1155" name="W_NBFEDMILK_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Milk (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1156" name="W_NBFEDWAT_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Plain water
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, NBFEDWAT_ALL (M55B_x) indicates whether the child was given plain water in the first three days after the birth.

NBFEDWAT_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDWAT_01) up to the sixth-most-recent birth (i.e., NBFEDWAT_02, NBFEDWAT_03, NBFEDWAT_04, NBFEDWAT_05, and NBFEDWAT_06) during the reference period prior to the survey.  If NBFEDWAT_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDWAT_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDWAT_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDWAT_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1157" name="W_NBFEDWAT_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Plain water (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, NBFEDWAT_01 (M55B_1) indicates whether the child was given plain water in the first three days (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1158" name="W_NBFEDWAT_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Plain water (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1159" name="W_NBFEDWAT_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Plain water (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1160" name="W_NBFEDWAT_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Plain water (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1161" name="W_NBFEDWAT_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Plain water (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1162" name="W_NBFEDWAT_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Plain water (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1163" name="W_NBFEDSUG_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar water
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, NBFEDSUG_ALL (M55C_x) indicates whether the child was given sugar or glucose water in the first three days after birth.

NBFEDSUG_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDSUG_01) up to the sixth-most-recent birth (i.e., NBFEDSUG_02, NBFEDSUG_03, NBFEDSUG_04, NBFEDSUG_05, and NBFEDSUG_06) during the reference period prior to the survey.  If NBFEDSUG_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDSUG_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDSUG_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDSUG_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1164" name="W_NBFEDSUG_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar water (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, NBFEDSUG_01 (M55C_1) indicates whether the child was given sugar or glucose water in the first three days (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1165" name="W_NBFEDSUG_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar water (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1166" name="W_NBFEDSUG_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar water (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1167" name="W_NBFEDSUG_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar water (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1168" name="W_NBFEDSUG_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar water (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1169" name="W_NBFEDSUG_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar water (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1170" name="W_NBFEDGP_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Gripe water
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, NBFEDGP_ALL (M55D_x) indicates whether the child was given gripe water in the first three days after the birth. Gripe water is liquid (whose ingredients vary) that is given to infants to treat colic and other stomach ailments.

NBFEDGP_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDGP_01) up to the sixth-most-recent birth (i.e., NBFEDGP_02, NBFEDGP_03, NBFEDGP_04, NBFEDGP_05, and NBFEDGP_06) during the reference period prior to the survey.  If NBFEDGP_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDGP_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDGP_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDGP_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1171" name="W_NBFEDGP_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Gripe water (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, NBFEDGP_01 (M55D_1) indicates whether the child was given gripe water in the first three days (for the last birth). Gripe water is liquid (whose ingredients vary) that is given to infants to treat colic and other stomach ailments.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1172" name="W_NBFEDGP_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Gripe water (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1173" name="W_NBFEDGP_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Gripe water (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1174" name="W_NBFEDGP_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Gripe water (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1175" name="W_NBFEDGP_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Gripe water (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1176" name="W_NBFEDGP_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Gripe water (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1177" name="W_NBFEDORT_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar and salt water solution
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, NBFEDORT_ALL (M55E_x) indicates whether the child was given a sugar-salt-water solution in the first three days after birth.

NBFEDORT_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDORT_01) up to the sixth-most-recent birth (i.e., NBFEDORT_02, NBFEDORT_03, NBFEDORT_04, NBFEDORT_05, and NBFEDORT_06) during the reference period prior to the survey.  If NBFEDORT_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDORT_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDORT_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDORT_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1178" name="W_NBFEDORT_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar and salt water solution (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, NBFEDORT_01 (M55E_1) indicates whether the child was given a sugar-salt-water solution in the first three days (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1179" name="W_NBFEDORT_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar and salt water solution (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1180" name="W_NBFEDORT_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar and salt water solution (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1181" name="W_NBFEDORT_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar and salt water solution (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1182" name="W_NBFEDORT_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar and salt water solution (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1183" name="W_NBFEDORT_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar and salt water solution (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1184" name="W_NBFEDJUI_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Fruit juice
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, NBFEDJUI_ALL (M55F_x) indicates whether the child was given fruit juice in the first three days after birth.

NBFEDJUI_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDJUI_01) up to the sixth-most-recent birth (i.e., NBFEDJUI_02, NBFEDJUI_03, NBFEDJUI_04, NBFEDJUI_05, and NBFEDJUI_06) during the reference period prior to the survey.  If NBFEDJUI_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDJUI_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDJUI_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDJUI_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1185" name="W_NBFEDJUI_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Fruit juice (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, NBFEDJUI_01 (M55F_1) indicates whether the child was given fruit juice in the first three days (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1186" name="W_NBFEDJUI_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Fruit juice (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1187" name="W_NBFEDJUI_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Fruit juice (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1188" name="W_NBFEDJUI_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Fruit juice (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1189" name="W_NBFEDJUI_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Fruit juice (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1190" name="W_NBFEDJUI_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Fruit juice (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1191" name="W_NBFEDFORM_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Formula
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, NBFEDFORM_ALL (M55G_x) indicates whether the child was given infant formula in the first three days after the birth.

NBFEDFORM_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDFORM_01) up to the sixth-most-recent birth (i.e., NBFEDFORM_02, NBFEDFORM_03, NBFEDFORM_04, NBFEDFORM_05, and NBFEDFORM_06) during the reference period prior to the survey.  If NBFEDFORM_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDFORM_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDFORM_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDFORM_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1192" name="W_NBFEDFORM_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Formula (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, NBFEDFORM_01 (M55G_1) indicates whether the child was given infant formula in the first three days (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1193" name="W_NBFEDFORM_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Formula (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1194" name="W_NBFEDFORM_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Formula (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1195" name="W_NBFEDFORM_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Formula (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1196" name="W_NBFEDFORM_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Formula (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1197" name="W_NBFEDFORM_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Formula (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1198" name="W_NBFEDTEA_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Tea/infusions
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, NBFEDTEA_ALL (M55H_x) indicates whether the child was given tea/infusions in the first three days after birth.  Wording varied somewhat across samples. See Comparability.

NBFEDTEA_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDTEA_01) up to the sixth-most-recent birth (i.e., NBFEDTEA_02, NBFEDTEA_03, NBFEDTEA_04, NBFEDTEA_05, and NBFEDTEA_06) during the reference period prior to the survey.  If NBFEDTEA_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDTEA_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDTEA_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDTEA_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1199" name="W_NBFEDTEA_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Tea/infusions (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, NBFEDTEA_01 (M55H_1) indicates whether the child was given tea/infusions in the first three days (for the last birth). Wording varied somewhat across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1200" name="W_NBFEDTEA_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Tea/infusions (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1201" name="W_NBFEDTEA_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Tea/infusions (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1202" name="W_NBFEDTEA_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Tea/infusions (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1203" name="W_NBFEDTEA_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Tea/infusions (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1204" name="W_NBFEDTEA_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Tea/infusions (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1205" name="W_NBFEDHON_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Honey
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last five years, NBFEDHON_ALL (M55I_x) indicates whether the child was given honey in the first three days after the birth.

NBFEDHON_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDHON_01) up to the sixth-most-recent birth (i.e., NBFEDHON_02, NBFEDHON_03, NBFEDHON_04, NBFEDHON_05, and NBFEDHON_06) during the reference period prior to the survey.  If NBFEDHON_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDHON_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDHON_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDHON_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1206" name="W_NBFEDHON_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Honey (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last five years, NBFEDHON_01 (M55H_1) indicates whether the child was given honey in the first three days (for the last birth).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1207" name="W_NBFEDHON_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Honey (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1208" name="W_NBFEDHON_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Honey (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1209" name="W_NBFEDHON_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Honey (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1210" name="W_NBFEDHON_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Honey (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1211" name="W_NBFEDHON_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Honey (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1212" name="W_NBFEDHERB_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Herbs
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the five years before the survey, NBFEDHERB_ALL indicates whether the child was given herbs in the first three days after delivery. 

NBFEDHERB_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDHERB_01) up to the sixth-most-recent birth (i.e., NBFEDHERB_02, NBFEDHERB_03, NBFEDHERB_04, NBFEDHERB_05, and NBFEDHERB_06) during the reference period prior to the survey.  If NBFEDHERB_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDHERB_06 would not be available for that survey in IPUMS-DHS. 

As detailed in the Comparability section, some surveys collected this information for the last-born children only (NBFEDHERB_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDHERB_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1213" name="W_NBFEDHERB_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Herbs (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1214" name="W_NBFEDHERB_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Herbs (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1215" name="W_NBFEDHERB_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Herbs (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1216" name="W_NBFEDHERB_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Herbs (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1217" name="W_NBFEDPORR_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Porridge
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the five years before the survey, NBFEDPORR_ALL indicates whether the child was given porridge in the first three days after delivery. 

NBFEDPORR_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDPORR_01) up to the sixth-most-recent birth (i.e., NBFEDPORR_02, NBFEDPORR_03, NBFEDPORR_04, NBFEDPORR_05, and NBFEDPORR_06) during the reference period prior to the survey.  If NBFEDPORR_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDPORR_06 would not be available for that survey in IPUMS-DHS. 

As detailed in the Comparability section, some surveys collected this information for the last-born children only (NBFEDPORR_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDPORR_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1218" name="W_NBFEDPORR_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Porridge (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1219" name="W_NBFEDPORR_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Porridge (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1220" name="W_NBFEDPORR_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Porridge (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1221" name="W_NBFEDPORR_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Porridge (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1222" name="W_NBFEDPORR_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Porridge (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1223" name="W_NBFEDOTH_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, NBFEDOTH_ALL (M55X_x) indicates whether the child was given some other liquid in the first three days after birth. The meaning of "other" is relative to the specific categories included in a given sample.

NBFEDOTH_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDOTH_01) up to the sixth-most-recent birth (i.e., NBFEDOTH_02, NBFEDOTH_03, NBFEDOTH_04, NBFEDOTH_05, and NBFEDOTH_06) during the reference period prior to the survey.  If NBFEDOTH_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDOTH_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDOTH_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDOTH_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1224" name="W_NBFEDOTH_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Other (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, NBFEDOTH_01 (M55X_1) indicates whether the child was given some other liquid in the first three days (for the last birth). The meaning of "other" is relative to the specific categories included in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1225" name="W_NBFEDOTH_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Other (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1226" name="W_NBFEDOTH_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Other (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1227" name="W_NBFEDOTH_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Other (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1228" name="W_NBFEDOTH_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Other (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1229" name="W_NBFEDOTH_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Other (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1230" name="W_NBFEDNO_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Nothing
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, NBFEDNO_ALL (M55Z_x) indicates whether the child was given nothing (i.e., no supplemental fluids) to drink in the first three days after the birth.  Some children may have been fed the mother's colostrum, a nourishing milky fluid that comes from the breast before true milk appears.

NBFEDNO_ALL consists of a set of six separate variables, covering the most recent birth (NBFEDNO_01) up to the sixth-most-recent birth (i.e., NBFEDNO_02, NBFEDNO_03, NBFEDNO_04, NBFEDNO_05, and NBFEDNO_06) during the reference period prior to the survey.  If NBFEDNO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then NBFEDNO_06 would not be available for that survey in IPUMS-DHS. 

As documented in the Comparability section, many surveys collected this information for the last-born child only (NBFEDNO_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          NBFEDNO_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1231" name="W_NBFEDNO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Nothing (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years, NBFEDNO_01 (M55Z_1) indicates whether the child was given nothing (i.e., no supplemental fluids) to drink in the first three days (for the last birth). Some children may have been fed the mother's colostrum, a nourishing milky fluid that comes from the breast before true milk appears.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, given something
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, given nothing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1232" name="W_NBFEDNO_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Nothing (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, given something
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, given nothing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1233" name="W_NBFEDNO_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Nothing (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, given something
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, given nothing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1234" name="W_NBFEDNO_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Nothing (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, given something
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, given nothing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1235" name="W_NBFEDNO_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Nothing (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, given something
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, given nothing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1236" name="W_NBFEDNO_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Nothing (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, given something
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, given nothing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1237" name="W_FEDANY24HX_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Times child fed any solid, semi-solid, or soft foods in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FEDANY24HX_ALL (M39_x) reports how many times the women gave her child any solid, semi-solid, or soft foods during the previous day, either at night or during the daytime.

The related variable FEDANY24H_ALL (M39A_x) indicates whether the woman gave her child any solid, semi-solid, or soft foods in the previous 24 hours. 

FEDANY24HX_ALL consists of a set of six separate variables, covering the most recent birth (FEDANY24HX_01) up to the sixth-most-recent birth (i.e., FEDANY24HX_02, FEDANY24HX_03, FEDANY24HX_04, FEDANY24HX_05, and FEDANY24HX_06) during the reference period prior to the survey.  If FEDANY24HX_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For Phase VI forward, information for this variable was collected on the youngest surviving child under age 2. If the respondent's last-born child had died but the second-to-last child was still alive, FEDANY24HX_02 would indicate whether the respondent's second-to-last child was given solid, semi-solid, or soft foods only if the last-born child had died. Data were hypothetically collected on up to the sixth-most-recent birth, but if no women in the survey had 6 births and the 5 most recent had died, FEDANY24HX_06 would not be available for that survey in IPUMS-DHS. 

In previous phases, information was collected on all surviving children, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then FEDANY24HX_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          FEDANY24HX_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1238" name="W_FEDANY24HX_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Times child fed any solid, semi-solid, or soft foods in past 24 hours (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1239" name="W_FEDANY24HX_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Times child fed any solid, semi-solid, or soft foods in past 24 hours (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1240" name="W_FEDANY24HX_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Times child fed any solid, semi-solid, or soft foods in past 24 hours (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1241" name="W_FEDANY24HX_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Times child fed any solid, semi-solid, or soft foods in past 24 hours (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1242" name="W_FEDANY24HX_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Times child fed any solid, semi-solid, or soft foods in past 24 hours (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1243" name="W_FEDANY24HX_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Times child fed any solid, semi-solid, or soft foods in past 24 hours (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1244" name="W_BRSFEDBOT_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Drank from bottle with nipple in last day or night
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years and whose young child was still alive, BRSFEDBOT_ALL (M38_x) indicates whether the child drank anything from a bottle with a nipple during the previous day and night.

BRSFEDBOT_ALL consists of a set of up to six separate variables, covering the most recent birth (BRSFEDBOT_01) up to, potentially, the sixth-most-recent birth (i.e., BRSFEDBOT_02, BRSFEDBOT_03, BRSFEDBOT_04,  BRSFEDBOT_05, and BRSFEDBOT_06) during the reference period prior to the survey. If BRSFEDBOT_ALL is included in a data extract, all these separate variables are included in a researcher's data file. 

The information in BRSFEDBOT_ALL was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BRSFEDBOT_06 would not be available for that survey in IPUMS-DHS.

Some surveys, specified in the Comparison section, collected this information for only the last-born child (BRSFEDBOT_01).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BRSFEDBOT_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1245" name="W_BRSFEDBOT_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Drank from bottle with nipple in last day or night (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the last three to five years and whose last birth was still alive, BRSFEDBOT_01 (M38_01) indicates whether the last-born child drank anything from a bottle with a nipple during the previous day and night.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1246" name="W_BRSFEDBOT_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Drank from bottle with nipple in last day or night (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1247" name="W_BRSFEDBOT_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Drank from bottle with nipple in last day or night (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1248" name="W_BRSFEDBOT_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Drank from bottle with nipple in last day or night (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1249" name="W_BRSFEDBOT_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Drank from bottle with nipple in last day or night (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1250" name="W_BRSFEDBOT_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Drank from bottle with nipple in last day or night (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1251" name="W_BOTTLE24H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Mother fed last-born child from bottle with nipple in last day or night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years and whose last-born child is still alive, BOTTLE24H (V415) indicates whether the last-born child drank anything from a bottle with a nipple during the previous day and night. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDBOT_01 (M38_01), which also indicates whether the woman gave her last-born child anything from a bottle with a nipple during the previous day and night.

When children are the unit of analysis, BOTTLE24H describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. If the mother reported that she fed her last-born child with a bottle with a nipple during the previous day or night, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

When children are the unit of analysis, a positive response in BOTTLE24H thus does not necessarily indicate that a particular child was actually fed with a bottle with a nipple during the previous day or night. IPUMS-DHS users should instead employ, when available, the variable BRSFEDBOT (M38) to determine whether the specific child in question actually drank anything from a bottle with a nipple during the previous day and night.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1252" name="W_BFEEDANYNOW" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman currently breastfeeding any child
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BFEEDANYNOW (V404) indicates whether the woman is currently breastfeeding. If no child was born in the last three to five years, the respondent is assumed to not be breastfeeding. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.

This variable has some variation in how current breastfeeding is determined. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1253" name="W_BRSFEDMO_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (including still breastfed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, BRSFEDMO_ALL (M5_x) reports the calculated months of breastfeeding for a birth, including cases where 1) the woman was still breastfeeding at the time of the interview or 2) the child had been breastfed until its death. Cases in these two categories were excluded from the related variable BRSFEDUR_ALL on the duration of breastfeeding.

For DHS Phase II forward, inconsistent durations based on the original report of the duration of breastfeeding were coded as "Inconsistent." In cases where the reported duration was one month longer than the relevant interval, duration was shortened by one month.  If the duration of breastfeeding exceeded the child's age at death, the duration of breastfeeding was changed to the age at death.

BRSFEDMO_ALL consists of a set of up to six separate variables, covering the most recent birth (BRSFEDMO_01) up to, potentially, the sixth-most-recent birth (i.e., BRSFEDMO_02, BRSFEDMO_03, BRSFEDMO_04,  BRSFEDMO_05, and BRSFEDMO_06) during the reference period prior to the survey. If BRSFEDMO_ALL is included in a data extract, all these separate variables are included in a researcher's data file. 

The information in BRSFEDMO_ALL was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BRSFEDMO_06 would not be available for that survey in IPUMS-DHS.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BRSFEDMO_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1254" name="W_BRSFEDMO_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (including still breastfed) (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See BRSFEDMO_ALL.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60(+)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Missing: Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1255" name="W_BRSFEDMO_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (including still breastfed) (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Missing: Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1256" name="W_BRSFEDMO_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (including still breastfed) (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Missing: Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1257" name="W_BRSFEDMO_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (including still breastfed) (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Missing: Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1258" name="W_BRSFEDMO_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (including still breastfed) (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Missing: Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1259" name="W_BRSFEDMO_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (including still breastfed) (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Missing: Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1260" name="W_BRSFEDUR_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BRSFEDUR_ALL (M4_x) reports the calculated months of breastfeeding, for women who gave birth in the last three to five years and were no longer breastfeeding the child.

BRSFEDUR_ALL consists of a set of six separate variables, covering the most recent birth (BRSFEDUR_01) up to the sixth-most-recent birth (i.e., BRSFEDUR_02, BRSFEDUR_03, BRSFEDUR_04, BRSFEDUR_05, and BRSFEDUR_06) during the reference period prior to the survey.  If BRSFEDUR_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BRSFEDUR_06 would not be available for that survey in IPUMS-DHS. 

The related variable BRSFEDMO_ALL differs by including women who were still breastfeeding at the time of the interview. The variable BRSFEDCAT_ALL provides categorical information about breastfeeding, reporting whether the woman ever breastfed, and, if so, whether she is still breastfeeding.

The maximum period allowed for BRSFEDUR_ALL during the data editing (by survey administrators) was the interval between the date of birth of the child and the date of interview. For Phase I, cases that exceeded the allowed maximum period were set to "Inconsistent." For Phase II forward, inconsistent durations were left in place, but such cases were flagged in BRSFDFLAG_ALL and were set to "Inconsistent" in BRSFEDMO_ALL.  In Phase II only, for Model "A" countries, the "breastfed until died" category was not used.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BRSFEDUR_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1261" name="W_BRSFEDUR_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        See BRSFEDUR_ALL.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Breastfed until died
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1262" name="W_BRSFEDUR_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Breastfed until died
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1263" name="W_BRSFEDUR_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Breastfed until died
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1264" name="W_BRSFEDUR_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Breastfed until died
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1265" name="W_BRSFEDUR_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Breastfed until died
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1266" name="W_BRSFEDUR_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Breastfed until died
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1267" name="W_BRSFDFLAG_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag for breastfeeding, problem with duration
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, BRSFDFLAG_ALL (M27_x) is a flag variable that indicates the type of problem, if any, found in editing the duration of breastfeeding. Cases without a problem are coded 0.

BRSFDFLAG_ALL consists of a set of up to six separate variables, covering the most recent birth (BRSFDFLAG_01) up to, potentially, the sixth-most-recent birth (i.e., BRSFDFLAG_02, BRSFDFLAG_03, BRSFDFLAG_04,  BRSFDFLAG_05, and BRSFDFLAG_06) during the reference period prior to the survey. If BRSFDFLAG_ALL is included in a data extract, all these separate variables are included in a researcher's data file. 

The information in BRSFDFLAG_ALL was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BRSFDFLAG_06 would not be available for that survey in IPUMS-DHS.

For duration of breastfeeding, see BRSFEDUR_ALL (M4_x).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BRSFDFLAG_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1268" name="W_BRSFDFLAG_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag for breastfeeding, problem with duration (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years, BRSFDFLAG_01 (M27_01) is a flag variable that indicates the type of problem, if any, found in editing the duration of breastfeeding. Cases without a problem are coded 0.

For duration of breastfeeding, see BRSFEDUR_01 (M4_01).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and date of interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Greater than interval between birth and age at death
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1269" name="W_BRSFDFLAG_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag for breastfeeding, problem with duration (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and date of interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Greater than interval between birth and age at death
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1270" name="W_BRSFDFLAG_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag for breastfeeding, problem with duration (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and date of interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Greater than interval between birth and age at death
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1271" name="W_BRSFDFLAG_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag for breastfeeding, problem with duration (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and date of interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Greater than interval between birth and age at death
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1272" name="W_BRSFDFLAG_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag for breastfeeding, problem with duration (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and date of interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Greater than interval between birth and age at death
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1273" name="W_BRSFDFLAG_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Flag for breastfeeding, problem with duration (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and date of interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Greater than interval between birth and age at death
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1274" name="W_BRSFEDST_ALL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time from birth until child first breastfed
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the three to five years preceding the survey and who ever breastfed the infant, BRSFEDST_ALL (M34_x) reports the length of time between the birth and when the woman first breastfed her child. Following DHS convention, intervals reported in hours are coded with a "1" in the first digit, and intervals reported in days are coded with a "2" in the first digit.

BRSFEDST_ALL consists of a set of six separate variables, covering the most recent birth (BRSFEDST_01) up to the sixth-most-recent birth (i.e., BRSFEDST_02, BRSFEDST_03, BRSFEDST_04, BRSFEDST_05, and BRSFEDST_06) during the reference period prior to the survey.  If BRSFEDST_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BRSFEDST_06 would not be available for that survey in IPUMS-DHS. 

Many surveys, noted in the Comparability section, collected this information for the last-born child only.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          BRSFEDST_ALL available
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1275" name="W_BRSFEDST_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time from birth until child first breastfed (last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who gave birth in the three to five years preceding the survey and who ever breastfed the infant, BRSFEDST_01 (M34_1) reports the length of time between the birth and when the woman first breastfed her child (for the last birth). Following DHS convention, intervals reported in hours are coded with a "1" in the first digit, and intervals reported in days are coded with a "2" in the first digit.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Within 1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1276" name="W_BRSFEDST_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time from birth until child first breastfed (second to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Within 1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1277" name="W_BRSFEDST_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time from birth until child first breastfed (third to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Within 1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1278" name="W_BRSFEDST_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time from birth until child first breastfed (fourth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Within 1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1279" name="W_BRSFEDST_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time from birth until child first breastfed (fifth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Within 1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1280" name="W_BRSFEDST_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Time from birth until child first breastfed (sixth to last birth)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Within 1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1281" name="W_BFEEDST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        When mother first put last-born child to breast
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years and breastfed their last-born child, BFEEDST (V426) reports the length of time between the birth and when the woman first breastfed her last-born child. Following DHS convention, intervals reported in hours are coded with a "1" in the first digit, and intervals reported in days are coded with a "2" in the first digit.

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDST_01 (M34_1), which also reports the length of time between the birth and when the woman first breastfed her child (for the last birth).

When children are the unit of analysis, BFEEDST describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of hours or days in BFEEDST does not necessarily indicate that a particular child whose record is being analyzed was first breastfed after that amount of time. IPUMS-DHS users should instead employ, when available, the variable BRSFEDST (M34) to determine the length of time between the specific child's birth and when that child was first breastfed.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Within first hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Within first day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1282" name="W_DIATRORSHEARD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Heard of ORS for diarrhea treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DIATRORSHEARD (V416) indicates whether the woman ever heard of using an oral rehydration solution (ORS) to treat diarrhea. ORS generally consists of drinking water with the addition of sugar and salt (in a homemade solution) or a commercial mixture of salt, glucose, potassium chloride, and sodium bicarbonate added to clean water.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Used ORS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Heard of ORS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Recognized ORS packet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        ORS treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1283" name="W_WEIGHTFEM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Weight of woman (kilos)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WEIGHTFEM (V437) reports the woman's weight as measured by DHS personnel. There is one implied decimal place in the weight. Dividing WEIGHTFEM by 10 will yield the woman's measured weight in kilograms.
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Out of plausible range
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1284" name="W_HEIGHTFEM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Height of woman in centimeters
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HEIGHTFEM (V438) reports the woman's height as measured by DHS personnel. HEIGHTFEM values are reported in millimeters, to preserve one centimeter decimal place without requiring the use of a decimal point. Dividing HEIGHTFEM by 10 will yield the woman's measured height in centimeters.
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Out of plausible range
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1285" name="W_BIOFHTAPCT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Height for age percentile for respondents to women's survey
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHTAPCT (V439) reports the respondent's height-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value for 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1286" name="W_BIOFHTASDRM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Height for age standard deviations from the reference median (for respondents to female survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHTASDRM (V440) reports the difference between the respondent's height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. BIOFHTASDRM values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing BIOFHTASDRM by 100 will yield the height-for-age Z-score (HAZ) value. 

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height, as measured by DHS personnel.

The complementary DHS variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile within the same reference population used in BIOFHTASDRM. The complementary DHS variable BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status.]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1287" name="W_BIOFHTAPCTRM" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Height for Age percent of reference median for respondents to female survey
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percent of the median height for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.

The related variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1288" name="W_BIOFWTHTRMDHS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percent of reference median (DHS) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTRMDHS (V442) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. For this variable, the reference population was developed by the DHS Program. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTFOG (V443) uses Metropolitan Life or Fogarty reference standards
BIOFWTHTWHO (V444) uses WHO reference standards]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1289" name="W_BIOFWTHTRMFOG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTRMFOG (V443) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the Metropolitan Life or Fogarty reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTDHS (V442) uses a DHS reference standard
BIOFWTHTWHO (V444) uses the WHO reference standard]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1290" name="W_BIOFWTHTRMWHO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percent of reference median (WHO) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTRMWHO (V444) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the World Health Organization (WHO) reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTDHS (V442) uses a DHS reference standard
BIOFWTHTFOG (V444) uses the Metropolitan Life or Fogarty reference standard]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1291" name="W_BIOFWTHTSDRMDHS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Weight for height standard deviations from the reference median (DHS) (respondents to female survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTSDRM (V444A) reports the difference between the respondent's weight and the median weight of a reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution. This variable uses a DHS reference standard.

An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. BIOFWTHTSDRM values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing BIOFWTHTSDRM by 100 will yield the height-for-age Z-score (HAZ) value. 

The complementary DHS variable BIOFWTHTPCTDHS (V442) reports weight-for-height percentiles within the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status; users are advised to consult anthropometry literature for further discussion.]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1292" name="W_BIOFBMI" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Body Mass Index (BMI) for respondents to the women's survey
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFBMI (V445) reports the female respondent's body mass index (BMI). BMI is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)). Also known as the Quetelet Index, BMI is a measure of acute nutritional status, based on the Fogarty Metropolitan Life tables of ideal weight for height. 

The DHS Guide to Statistics offers the following guidelines for interpreting BMI scores for women age 15-49:

 Severely thin: less than 16.0 
Moderately thin: 16.0 to 16.9 
Mildly thin: 17.0 to 18.4 
Normal: 18.5 to 24.9 
Overweight: 25.0 to 29.9 
Obese: 30.0 or more

The original height and weight values used to calculate BMI are also included in IPUMS-DHS.  WEIGHTFEM (V437) reports the respondent's weight in kilograms, as measured by DHS personnel; HEIGHTFEM (V438) reports the person's length or height in centimeters, as measured by DHS personnel. 

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFROHRER (V446), which reports the respondent's Rohrer's Index. This measure is equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)).]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1293" name="W_BIOFROHRER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Rohrer's index (mass/height cubed) (for respondents to female survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFROHRER (V446) reports the respondent's Rohrer's Index. Rohrer's Index is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)). Rohrer's Index is a measure of acute nutritional status, and may be used as an alternative to Body Mass Index. 

The original height and weight values used to calculate Rohrer's Index are also included in IPUMS-DHS. WEIGHTFEM (V437) reports the respondent's weight in kilograms as measured by DHS personnel; HEIGHTFEM (V438) reports their length or height in centimeters as measured by DHS personnel.

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFBMI (V445), which reports the respondent's Body Mass Index (BMI), which is equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)).]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1294" name="W_BIOFWHYNOTMEAS" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Result of measurement of the respondent
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFWHYNOTMEAS (V447) indicates whether the respondent was measured for height and weight, or, if not, why she was not measured. All "Not measured" responses have a common first digit of "1," while the second digit reveals the reason (e.g., sick, not present, refused).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Incapacitated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Technical problems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          No measurement found in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1295" name="W_BIOFHHAGE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's age in years from household record
      </labl>
      <valrng>
        <range UNITS="REAL" min="12" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFHHAGE (V447A) reports the respondent's age in years, as recorded in the household roster. This age is used to determine eligibility for biometric measurements.
      </txt>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1296" name="W_BIOFHEMOCONSENT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Result of consent statement for anemia testing (respondents for women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFHEMOCONSENT (V452C) indicates whether permission was granted for the respondent's blood to be drawn and tested for hemoglobin level (as an indicator of anemia) or, if not, why not. Interviewers read a statement about hemoglobin testing and requested permission to draw and test the individual's blood for hemoglobin level.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Permission granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Permission refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Parent/other refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Respondent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Not read
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Adult/parent not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Minor not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1297" name="W_BIOFHEMOLEVEL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Hemoglobin level (g/dl) (respondents for women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="992" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHEMOLEVEL (V453) reports the level of hemoglobin in the respondent's blood, in terms of grams per deciliter (g/dl), based on testing of blood drawn by DHS personnel. Hemoglobin levels are tested to determine the presence and severity of anemia. BIOFHEMOLEVEL is a 3-digit variable with 1 implied decimal place.  

For a summary statement of anemia status, based on grouped hemoglobin level results, see BIOFANEMIALVL (V457).]]>
      </txt>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1298" name="W_BIOFHEMOTEST" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Whether hemoglobin level tested (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFHEMOTEST (V455) indicates whether the respondent's hemoglobin level was tested from a blood draw by DHS personnel, or, if not, why their hemoglobin level was not measured. All "Not measured" responses have a common first digit of "1," while the second digit reveals the reason (e.g., not present, refused, technical problem).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Technical problems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          No measurement found in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1299" name="W_BIOFHEMOLEVELALT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Hemoglobin level (g/dl) adjusted for altitude (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="993" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHEMOLEVELALT (V456) reports the level of hemoglobin in the respondent's blood, in terms of grams per deciliter (g/dl), based on testing of blood drawn by DHS personnel, and adjusted for altitude. Hemoglobin levels are tested to determine the presence and severity of anemia. BIOFHEMOLEVELALT is a 3-digit variable with 1 implied decimal place.  

The USAID publication Adjusting Hemoglobin Values in Program Surveys [URL omitted from DDI.] explains, "At elevations above 1000 m. hemoglobin concentrations increase as an adaptive response to the lower partial pressure of oxygen and reduced oxygen saturation of blood." The report further provides an equation for adjusting hemoglobin values in altitudes at 500-meter intervals, and explains that adjustment is important because "WHO hemoglobin cutoffs for anemia refer to sea-level values."

For a summary statement of anemia status, based on grouped hemoglobin level results, see BIOFANEMIALVL (V457).]]>
      </txt>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1300" name="W_BIOFANEMIALVL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Anemia level (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFANEMIALVL (V457) reports the respondent's level of anemia, from not anemic to severely anemic, based on hemoglobin levels in blood drawn by DHS personnel.

According to the DHS Recode Manuals:
 [Hemoglobin] levels below 7.0 g/dl are considered as severe anemia, levels between 7.1g/dl and 9.9g/dl are considered as moderate anemia, and cases between 10.0 g/dl and 10.9 g/dl are considered as mild anemia for pregnant women and between 10.0 g/dl and 11.9 g/dl for all other adult women.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not anemic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Moderate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Severe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1301" name="W_BIOFUNDER18" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Under age 18 (according to household questionnaire) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFUNDER18 (V452A) indicates whether the respondent was under or over age 18 at the time of the interview, according to the household roster.

The information in this variable was used by DHS personnel to determine whether a female household member needed consent from a parent/caretaker before conducting hemoglobin measurements.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Under age 18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Age 18 or older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1302" name="W_BIOFLINENOPARENT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Line number of parent/responsible adult (non-adult respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFLINENOPARENT (V452B) reports the line number, in the household listing, of the parent or caretaker of a respondent under age 18 whose hemoglobin levels were measured, based on blood drawn by DHS personnel.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1303" name="W_BIOFPREGNANT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Currently pregnant
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFPREGNANT (V454) indicates whether the respondent was pregnant at the time of the interview.

A woman's pregnancy status is an important factor in interpreting hemoglobin/anemia level. See the following variables for more information:
BIOFHEMOLEVEL (V453)
BIOFHEMOLEVELALT (V456)
BIOFANEMIALVL (V457)]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No/don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1304" name="W_BEDNETHAVE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Woman's household has bednet for sleeping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETHAVE (V459) indicates whether the household had any bed nets that could be used while sleeping, to keep off mosquitoes and reduce the risk of mosquito-borne illnesses such as malaria. This information was collected via the household questionnaire and copied over to the woman's record.

The complementary variable BEDNETNUM (HML1) reports the number of mosquito nets owned by the household.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1305" name="W_INJRECENTANY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Had any injection in recent months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INJRECENTANY indicates whether the woman received an injection for any reason in the 2 to 12 months preceding the survey.

See Comparability for discussion of variations in the reference period for this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1306" name="W_INJRECENTNO" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of injections in recent months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INJRECENTNO (V477) reports how many injections, for any reason, the woman received in the 2 to 12 months preceding the survey.

See Comparability for discussion of differences in the reference period for this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 injections
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+/daily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1307" name="W_INJHCWORKER" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of recent injections from healthcare worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who received any injections in the 6 to 12 months preceding the survey, INJHCWORKER (V478) reports the number of injections that were provided by a healthcare worker (including doctors, nurses, pharmacists, dentists or any other professional health worker).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 injections
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1308" name="W_BHCPERMIT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Getting permission
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCPERMIT (V467B) indicates whether the woman reported "obtaining permission to go to the doctor/seek treatment" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1309" name="W_BHCMONEY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Lack money for treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCMONEY (V467C) indicates whether the woman reported "getting money needed for treatment" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1310" name="W_BHCDISTANCE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Distance to facility
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCDISTANCE (V467D) indicates whether the woman reported "the distance to the health facility" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1311" name="W_BHCTAKETRAN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Having to take transport
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCTAKETRAN (V467E) indicates whether the woman reported "having to take transportation" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1312" name="W_BHCALONE" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Not want to go alone
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCALONE (V467F) indicates whether the woman reported "not wanting to go alone" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1313" name="W_BHCNOFEMDR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: No female provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCNOFEMDR (V467G) indicates whether the woman reported "concern that there may not be a female health provider" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1314" name="W_BHCNOPROV" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: No provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCNOPROV (V467H) indicates whether the woman reported "concern that there may not be a health provider" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1315" name="W_BHCNODRUG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: No drugs available
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCNODRUG (V467I) indicates whether the woman reported a "concern that there may not be drugs available" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1316" name="W_SOIL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Soil type
      </labl>
      <valrng>
        <range UNITS="REAL" min="-9" max="3004"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOIL reports the predominant soil type within a 5 kilometer circular buffer around each DHS cluster location. The soil attributes reported in SOIL are: soil class (e.g., Leptosols) and soil type within that class (e.g., Lithic Leptosols). SOIL is available for every IPUMS-DHS sample with GPS data.

There are 118 different soil types in the world. Please see the User Note on Using IPUMS-DHS Contextual Variables: Soil [URL omitted from DDI.] or the list of soils and the 4-digit codes [URL omitted from DDI.] (e.g., 1703) consisting of the 2-digit soil class code followed by the 2-digit soil type code. The User note also describes the data source and methodology used to calculate this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols (Alumic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols (Ferric or Humic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Plinthic Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Vetic Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Haplic (undetermined) Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Histic Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Umbric Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Cutanic Alisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Haplic (undetermined) Alisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Aluandic Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Haplic (undetermined) Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Vitric Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Albic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Ferralic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Haplic (undetermined) Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Haplic (undetermined) Arenosols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Hypoluvic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          Protic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Haplic (undetermined) Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Haplic (undetermined) Calcisols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Luvic Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Petric Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Endogleyic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Ferralic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          707
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Humic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          709
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Leptic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Vertic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Calcic Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Haplic (undetermined) Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Luvic Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Haplic (undetermined) Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Turbic Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Vitric Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <labl>
          Petric Durisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Acric Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols (Rhodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols (Xanthic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1105
        </catValu>
        <labl>
          Umbric Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Arenic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Calcic Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Mollic Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Umbric Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Calcic Gypsisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Haplic (undetermined) Gypsisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1501
        </catValu>
        <labl>
          Calcic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1502
        </catValu>
        <labl>
          Cryic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1503
        </catValu>
        <labl>
          Fibric Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1504
        </catValu>
        <labl>
          Hemic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1505
        </catValu>
        <labl>
          Sapric Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1601
        </catValu>
        <labl>
          Calcic Kastanozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1602
        </catValu>
        <labl>
          Haplic (undetermined) Kastanozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Haplic (undetermined) Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Haplic (undetermined) Leptosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          Lithic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          Mollic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1705
        </catValu>
        <labl>
          Rendzic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols (Ferric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Albic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Calcic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Gleyic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols (Ferric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          Leptic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          Stagnic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1909
        </catValu>
        <labl>
          Vertic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Alic Nitisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          Haplic (undetermined) Nitisols (Rhodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Haplic (undetermined) Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Leptic Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Luvic Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Endogleyic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Haplic (undetermined) Planosols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Haplic (undetermined) Planosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Luvic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Solodic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Acric Plinthosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Lixic Plinthosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Gleyic Podzols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Haplic (undetermined) Podzols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Aric Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Calcaric Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Leptic Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2601
        </catValu>
        <labl>
          Gypsic Solonchaks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2602
        </catValu>
        <labl>
          Haplic (undetermined) Solonchaks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2603
        </catValu>
        <labl>
          Haplic (undetermined) Solonchaks (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2701
        </catValu>
        <labl>
          Calcic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2702
        </catValu>
        <labl>
          Gleyic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2703
        </catValu>
        <labl>
          Haplic (undetermined) Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2704
        </catValu>
        <labl>
          Mollic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Luvic Stagnosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Haplic (undetermined) Umbrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Leptic Umbrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3001
        </catValu>
        <labl>
          Calcic Vertisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3002
        </catValu>
        <labl>
          Haplic (undetermined) Vertisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3003
        </catValu>
        <labl>
          Haplic (undetermined) Vertisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3004
        </catValu>
        <labl>
          Mollic Vertisols
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1317" name="W_ECOREGION" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Ecoregion of household
      </labl>
      <valrng>
        <range UNITS="REAL" min="-9999" max="81333"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ECOREGION reports the predominant terrestrial ecoregion within a 5 kilometer circular buffer around each DHS cluster location. ECOREGION reports the biogeographic region (e.g., Afrotropic), the habitat type (e.g., tropical and subtropical grasslands, savannas, and shrublands), and the ecoregion (e.g., East Sudanian savanna) that are associated with each cluster location. ECOREGION is available for every IPUMS-DHS sample with GPS data. 

There are 825 terrestrial ecoregions in the world. The 5-digit codes in ECOREGION (e.g., AT0705) include a 1-digit realm code, followed by a 2-digit biome code and a 2-digit ecoregion number.  For the full list of codes and their meaning, see the User Note on Using IPUMS-DHS Contextual Variables: Ecoregions [URL omitted from DDI.]. The User Note also describes the data sources and the methodology used to create this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -9999
        </catValu>
        <labl>
          Rock and Ice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          -9998
        </catValu>
        <labl>
          Lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Banda Sea Islands moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Buru rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10106
        </catValu>
        <labl>
          Halmahera rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10123
        </catValu>
        <labl>
          Sulawesi lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10124
        </catValu>
        <labl>
          Sulawesi montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10201
        </catValu>
        <labl>
          Lesser Sundas deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10203
        </catValu>
        <labl>
          Sumba deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10204
        </catValu>
        <labl>
          Timor and Wetar deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30101
        </catValu>
        <labl>
          Albertine Rift montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30102
        </catValu>
        <labl>
          Atlantic Equatorial coastal forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30103
        </catValu>
        <labl>
          Cameroonian Highlands forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30104
        </catValu>
        <labl>
          Central Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30105
        </catValu>
        <labl>
          Comoros forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30106
        </catValu>
        <labl>
          Cross-Niger transition forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30107
        </catValu>
        <labl>
          Cross-Sanaga-Bioko coastal forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30108
        </catValu>
        <labl>
          East African montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30109
        </catValu>
        <labl>
          Eastern Arc forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30110
        </catValu>
        <labl>
          Eastern Congolian swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30111
        </catValu>
        <labl>
          Eastern Guinean forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30112
        </catValu>
        <labl>
          Ethiopian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30113
        </catValu>
        <labl>
          Granitic Seychelles forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30114
        </catValu>
        <labl>
          Guinean montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30115
        </catValu>
        <labl>
          Knysna-Amatole montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30116
        </catValu>
        <labl>
          KwaZulu-Cape coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30117
        </catValu>
        <labl>
          Madagascar lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30118
        </catValu>
        <labl>
          Madagascar subhumid forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30119
        </catValu>
        <labl>
          Maputaland coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30121
        </catValu>
        <labl>
          Mount Cameroon and Bioko montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30122
        </catValu>
        <labl>
          Niger Delta swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30123
        </catValu>
        <labl>
          Nigerian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30124
        </catValu>
        <labl>
          Northeastern Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30125
        </catValu>
        <labl>
          Northern Zanzibar-Inhambane coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30126
        </catValu>
        <labl>
          Northwestern Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30127
        </catValu>
        <labl>
          Sao Tome, Principe and Annobon moist lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30128
        </catValu>
        <labl>
          Southern Zanzibar-Inhambane coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30129
        </catValu>
        <labl>
          Western Congolian swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30130
        </catValu>
        <labl>
          Western Guinean lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30202
        </catValu>
        <labl>
          Madagascar dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30203
        </catValu>
        <labl>
          Zambezian Cryptosepalum dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30701
        </catValu>
        <labl>
          Angolan Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30702
        </catValu>
        <labl>
          Angolan Mopane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30704
        </catValu>
        <labl>
          Central Zambezian Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30705
        </catValu>
        <labl>
          East Sudanian savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30706
        </catValu>
        <labl>
          Eastern Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30707
        </catValu>
        <labl>
          Guinean forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30708
        </catValu>
        <labl>
          Itigi-Sumbu thicket
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30709
        </catValu>
        <labl>
          Kalahari Acacia-Baikiaea woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30710
        </catValu>
        <labl>
          Mandara Plateau mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30711
        </catValu>
        <labl>
          Northern Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30712
        </catValu>
        <labl>
          Northern Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30713
        </catValu>
        <labl>
          Sahelian Acacia savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30714
        </catValu>
        <labl>
          Serengeti volcanic grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30715
        </catValu>
        <labl>
          Somali Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30716
        </catValu>
        <labl>
          Southern Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30717
        </catValu>
        <labl>
          Southern Africa bushveld
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30718
        </catValu>
        <labl>
          Southern Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30719
        </catValu>
        <labl>
          Southern Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30721
        </catValu>
        <labl>
          Victoria Basin forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30722
        </catValu>
        <labl>
          West Sudanian savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30723
        </catValu>
        <labl>
          Western Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30724
        </catValu>
        <labl>
          Western Zambezian grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30725
        </catValu>
        <labl>
          Zambezian and Mopane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30726
        </catValu>
        <labl>
          Zambezian Baikiaea woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30901
        </catValu>
        <labl>
          East African halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30902
        </catValu>
        <labl>
          Etosha Pan halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30903
        </catValu>
        <labl>
          Inner Niger Delta flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30904
        </catValu>
        <labl>
          Lake Chad flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30905
        </catValu>
        <labl>
          Saharan flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30906
        </catValu>
        <labl>
          Zambezian coastal flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30907
        </catValu>
        <labl>
          Zambezian flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30908
        </catValu>
        <labl>
          Zambezian halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31001
        </catValu>
        <labl>
          Angolan montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31002
        </catValu>
        <labl>
          Angolan scarp savanna and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31003
        </catValu>
        <labl>
          Drakensberg alti-montane grasslands and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31004
        </catValu>
        <labl>
          Drakensberg montane grasslands, woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31005
        </catValu>
        <labl>
          East African montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31006
        </catValu>
        <labl>
          Eastern Zimbabwe montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31007
        </catValu>
        <labl>
          Ethiopian montane grasslands and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31008
        </catValu>
        <labl>
          Ethiopian montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31009
        </catValu>
        <labl>
          Highveld grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31010
        </catValu>
        <labl>
          Jos Plateau forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31011
        </catValu>
        <labl>
          Madagascar ericoid thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31012
        </catValu>
        <labl>
          Maputaland-Pondoland bushland and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31013
        </catValu>
        <labl>
          Rwenzori-Virunga montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31014
        </catValu>
        <labl>
          South Malawi montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31015
        </catValu>
        <labl>
          Southern Rift montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31203
        </catValu>
        <labl>
          Montane fynbos and renosterveld
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31301
        </catValu>
        <labl>
          Aldabra Island xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31302
        </catValu>
        <labl>
          Arabian Peninsula coastal fog desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31304
        </catValu>
        <labl>
          Eritrean coastal desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31305
        </catValu>
        <labl>
          Ethiopian xeric grasslands and shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31308
        </catValu>
        <labl>
          Ile Europa and Bassas da India xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31309
        </catValu>
        <labl>
          Kalahari xeric savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31310
        </catValu>
        <labl>
          Kaokoveld desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31311
        </catValu>
        <labl>
          Madagascar spiny thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31312
        </catValu>
        <labl>
          Madagascar succulent woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31313
        </catValu>
        <labl>
          Masai xeric grasslands and shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31314
        </catValu>
        <labl>
          Nama Karoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31315
        </catValu>
        <labl>
          Namib desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31316
        </catValu>
        <labl>
          Namibian savanna woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31319
        </catValu>
        <labl>
          Somali montane xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31320
        </catValu>
        <labl>
          Southwestern Arabian foothills savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31322
        </catValu>
        <labl>
          Succulent Karoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31401
        </catValu>
        <labl>
          Central African mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31402
        </catValu>
        <labl>
          East African mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31403
        </catValu>
        <labl>
          Guinean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31404
        </catValu>
        <labl>
          Madagascar mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31405
        </catValu>
        <labl>
          Southern Africa mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40102
        </catValu>
        <labl>
          Borneo lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40103
        </catValu>
        <labl>
          Borneo montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40104
        </catValu>
        <labl>
          Borneo peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40105
        </catValu>
        <labl>
          Brahmaputra Valley semi-evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40106
        </catValu>
        <labl>
          Cardamom Mountains rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40107
        </catValu>
        <labl>
          Chao Phraya freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40108
        </catValu>
        <labl>
          Chao Phraya lowland moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40109
        </catValu>
        <labl>
          Chin Hills-Arakan Yoma montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40111
        </catValu>
        <labl>
          Eastern highlands moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40112
        </catValu>
        <labl>
          Eastern Java-Bali montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40113
        </catValu>
        <labl>
          Eastern Java-Bali rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40114
        </catValu>
        <labl>
          Greater Negros-Panay rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40115
        </catValu>
        <labl>
          Himalayan subtropical broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40117
        </catValu>
        <labl>
          Irrawaddy moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40120
        </catValu>
        <labl>
          Lower Gangetic Plains moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40121
        </catValu>
        <labl>
          Luang Prabang montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40122
        </catValu>
        <labl>
          Luzon montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40123
        </catValu>
        <labl>
          Luzon rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40125
        </catValu>
        <labl>
          Maldives-Lakshadweep-Chagos Archipelago tropical moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40126
        </catValu>
        <labl>
          Meghalaya subtropical forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40127
        </catValu>
        <labl>
          Mentawai Islands rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40128
        </catValu>
        <labl>
          Mindanao montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40129
        </catValu>
        <labl>
          Mindanao-Eastern Visayas rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40130
        </catValu>
        <labl>
          Mindoro rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40131
        </catValu>
        <labl>
          Mizoram-Manipur-Kachin rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40132
        </catValu>
        <labl>
          Myanmar coastal rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40136
        </catValu>
        <labl>
          Northern Annamites rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40138
        </catValu>
        <labl>
          Northern Khorat Plateau moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40139
        </catValu>
        <labl>
          Northern Thailand-Laos moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40141
        </catValu>
        <labl>
          Northern Vietnam lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40142
        </catValu>
        <labl>
          Orissa semi-evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40143
        </catValu>
        <labl>
          Palawan rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40144
        </catValu>
        <labl>
          Peninsular Malaysian montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40145
        </catValu>
        <labl>
          Peninsular Malaysian peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40146
        </catValu>
        <labl>
          Peninsular Malaysian rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40148
        </catValu>
        <labl>
          South China Sea Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40149
        </catValu>
        <labl>
          South China-Vietnam subtropical evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40152
        </catValu>
        <labl>
          Southern Annamites montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40153
        </catValu>
        <labl>
          Southwest Borneo freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40156
        </catValu>
        <labl>
          Sulu Archipelago rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40157
        </catValu>
        <labl>
          Sumatran freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40158
        </catValu>
        <labl>
          Sumatran lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40159
        </catValu>
        <labl>
          Sumatran montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40160
        </catValu>
        <labl>
          Sumatran peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40161
        </catValu>
        <labl>
          Sundaland heath forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40162
        </catValu>
        <labl>
          Sundarbans freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40163
        </catValu>
        <labl>
          Tenasserim-South Thailand semi-evergreen rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40164
        </catValu>
        <labl>
          Tonle Sap freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40165
        </catValu>
        <labl>
          Tonle Sap-Mekong peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40166
        </catValu>
        <labl>
          Upper Gangetic Plains moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40167
        </catValu>
        <labl>
          Western Java montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40168
        </catValu>
        <labl>
          Western Java rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40202
        </catValu>
        <labl>
          Central Indochina dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40203
        </catValu>
        <labl>
          Chhota-Nagpur dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40205
        </catValu>
        <labl>
          Irrawaddy dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40206
        </catValu>
        <labl>
          Khathiar-Gir dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40207
        </catValu>
        <labl>
          Narmada Valley dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40210
        </catValu>
        <labl>
          Southeastern Indochina dry evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40211
        </catValu>
        <labl>
          Southern Vietnam lowland dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40301
        </catValu>
        <labl>
          Himalayan subtropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40302
        </catValu>
        <labl>
          Luzon tropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40303
        </catValu>
        <labl>
          Northeast India-Myanmar pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40304
        </catValu>
        <labl>
          Sumatran tropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40401
        </catValu>
        <labl>
          Eastern Himalayan broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40403
        </catValu>
        <labl>
          Western Himalayan broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40501
        </catValu>
        <labl>
          Eastern Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40502
        </catValu>
        <labl>
          Western Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40701
        </catValu>
        <labl>
          Terai-Duar savanna and grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40901
        </catValu>
        <labl>
          Rann of Kutch seasonal salt marsh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41001
        </catValu>
        <labl>
          Kinabalu montane alpine meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41302
        </catValu>
        <labl>
          Indus Valley desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41303
        </catValu>
        <labl>
          Northwestern thorn scrub forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41304
        </catValu>
        <labl>
          Thar desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41402
        </catValu>
        <labl>
          Indochina mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41403
        </catValu>
        <labl>
          Indus River Delta-Arabian Sea mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41404
        </catValu>
        <labl>
          Myanmar Coast mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41405
        </catValu>
        <labl>
          Sunda Shelf mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41406
        </catValu>
        <labl>
          Sundarbans mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60105
        </catValu>
        <labl>
          Bolivian Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60107
        </catValu>
        <labl>
          Caqueta moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60108
        </catValu>
        <labl>
          Catatumbo moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60109
        </catValu>
        <labl>
          Cauca Valley montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60110
        </catValu>
        <labl>
          Cayos Miskitos-San Andrés and Providencia moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60111
        </catValu>
        <labl>
          Central American Atlantic moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60112
        </catValu>
        <labl>
          Central American montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60113
        </catValu>
        <labl>
          Chiapas montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60115
        </catValu>
        <labl>
          Chocó-Darién moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60117
        </catValu>
        <labl>
          Cordillera La Costa montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60118
        </catValu>
        <labl>
          Cordillera Oriental montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60119
        </catValu>
        <labl>
          Costa Rican seasonal moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60120
        </catValu>
        <labl>
          Cuban moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60121
        </catValu>
        <labl>
          Eastern Cordillera real montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60122
        </catValu>
        <labl>
          Eastern Panamanian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60124
        </catValu>
        <labl>
          Guianan Highlands moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60125
        </catValu>
        <labl>
          Guianan moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60127
        </catValu>
        <labl>
          Hispaniolan moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60128
        </catValu>
        <labl>
          Iquitos varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60129
        </catValu>
        <labl>
          Isthmian-Atlantic moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60130
        </catValu>
        <labl>
          Isthmian-Pacific moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60132
        </catValu>
        <labl>
          Japurá-Solimoes-Negro moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60133
        </catValu>
        <labl>
          Juruá-Purus moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60135
        </catValu>
        <labl>
          Madeira-Tapajós moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60136
        </catValu>
        <labl>
          Magdalena Valley montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60137
        </catValu>
        <labl>
          Magdalena-Urabá moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60141
        </catValu>
        <labl>
          Monte Alegre varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60142
        </catValu>
        <labl>
          Napo moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60143
        </catValu>
        <labl>
          Negro-Branco moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60145
        </catValu>
        <labl>
          Northwestern Andean montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60147
        </catValu>
        <labl>
          Orinoco Delta swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60149
        </catValu>
        <labl>
          Guianan freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60153
        </catValu>
        <labl>
          Peruvian Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60154
        </catValu>
        <labl>
          Petén-Veracruz moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60156
        </catValu>
        <labl>
          Purus varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60157
        </catValu>
        <labl>
          Purus-Madeira moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60158
        </catValu>
        <labl>
          Rio Negro campinarana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60159
        </catValu>
        <labl>
          Santa Marta montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60162
        </catValu>
        <labl>
          Sierra Madre de Chiapas moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60163
        </catValu>
        <labl>
          Solimões-Japurá moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60165
        </catValu>
        <labl>
          Southern Andean Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60166
        </catValu>
        <labl>
          Southwest Amazon moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60167
        </catValu>
        <labl>
          Talamancan montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60169
        </catValu>
        <labl>
          Pantepui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60171
        </catValu>
        <labl>
          Trinidad and Tobago moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60173
        </catValu>
        <labl>
          Uatuma-Trombetas moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60174
        </catValu>
        <labl>
          Ucayali moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60175
        </catValu>
        <labl>
          Venezuelan Andes montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60178
        </catValu>
        <labl>
          Western Ecuador moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60181
        </catValu>
        <labl>
          Yucatán moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60182
        </catValu>
        <labl>
          Guianan piedmont and lowland moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60201
        </catValu>
        <labl>
          Apure-Villavicencio dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60206
        </catValu>
        <labl>
          Bolivian montane dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60207
        </catValu>
        <labl>
          Cauca Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60209
        </catValu>
        <labl>
          Central American dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60210
        </catValu>
        <labl>
          Dry Chaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60211
        </catValu>
        <labl>
          Chiapas Depression dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60212
        </catValu>
        <labl>
          Chiquitano dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60213
        </catValu>
        <labl>
          Cuban dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60214
        </catValu>
        <labl>
          Ecuadorian dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60215
        </catValu>
        <labl>
          Hispaniolan dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60219
        </catValu>
        <labl>
          Lara-Falcón dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60220
        </catValu>
        <labl>
          Lesser Antillean dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60221
        </catValu>
        <labl>
          Magdalena Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60222
        </catValu>
        <labl>
          Maracaibo dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60223
        </catValu>
        <labl>
          Marañón dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60224
        </catValu>
        <labl>
          Panamanian dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60225
        </catValu>
        <labl>
          Patía Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60226
        </catValu>
        <labl>
          Puerto Rican dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60229
        </catValu>
        <labl>
          Sinú Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60230
        </catValu>
        <labl>
          Southern Pacific dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60232
        </catValu>
        <labl>
          Tumbes-Piura dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60301
        </catValu>
        <labl>
          Bahamian pine mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60302
        </catValu>
        <labl>
          Belizian pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60303
        </catValu>
        <labl>
          Central American pine-oak forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60304
        </catValu>
        <labl>
          Cuban pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60305
        </catValu>
        <labl>
          Hispaniolan pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60306
        </catValu>
        <labl>
          Miskito pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60702
        </catValu>
        <labl>
          Beni savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60704
        </catValu>
        <labl>
          Cerrado
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60707
        </catValu>
        <labl>
          Guianan savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60709
        </catValu>
        <labl>
          Llanos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60903
        </catValu>
        <labl>
          Enriquillo wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60905
        </catValu>
        <labl>
          Guayaquil flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60906
        </catValu>
        <labl>
          Orinoco wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60907
        </catValu>
        <labl>
          Pantanal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61001
        </catValu>
        <labl>
          Central Andean dry puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61002
        </catValu>
        <labl>
          Central Andean puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61003
        </catValu>
        <labl>
          Central Andean wet puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61004
        </catValu>
        <labl>
          Cordillera Central páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61005
        </catValu>
        <labl>
          Cordillera de Merida páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61006
        </catValu>
        <labl>
          Northern Andean páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61007
        </catValu>
        <labl>
          Santa Marta páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61010
        </catValu>
        <labl>
          High Monte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61303
        </catValu>
        <labl>
          Atacama desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61305
        </catValu>
        <labl>
          Caribbean shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61306
        </catValu>
        <labl>
          Cuban cactus scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61308
        </catValu>
        <labl>
          Guajira-Barranquilla xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61309
        </catValu>
        <labl>
          La Costa xeric shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61312
        </catValu>
        <labl>
          Motagua Valley thornscrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61313
        </catValu>
        <labl>
          Paraguana xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61315
        </catValu>
        <labl>
          Sechura desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61401
        </catValu>
        <labl>
          Amazon-Orinoco-Southern Caribbean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61402
        </catValu>
        <labl>
          Bahamian-Antillean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61403
        </catValu>
        <labl>
          Mesoamerican Gulf-Caribbean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61405
        </catValu>
        <labl>
          South American Pacific mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61407
        </catValu>
        <labl>
          Southern Mesoamerican Pacific mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80404
        </catValu>
        <labl>
          Balkan mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80407
        </catValu>
        <labl>
          Caspian Hyrcanian mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80408
        </catValu>
        <labl>
          Caucasus mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80412
        </catValu>
        <labl>
          Central European mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80418
        </catValu>
        <labl>
          Dinaric Mountains mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80419
        </catValu>
        <labl>
          East European forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80422
        </catValu>
        <labl>
          Euxine-Colchic broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80431
        </catValu>
        <labl>
          Pannonian mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80435
        </catValu>
        <labl>
          Rodope montane mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80446
        </catValu>
        <labl>
          Zagros Mountains forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80504
        </catValu>
        <labl>
          Carpathian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80506
        </catValu>
        <labl>
          East Afghan montane conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80507
        </catValu>
        <labl>
          Elburz Range forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80513
        </catValu>
        <labl>
          Mediterranean conifer and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80514
        </catValu>
        <labl>
          Northeastern Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80515
        </catValu>
        <labl>
          Northern Anatolian conifer and deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80521
        </catValu>
        <labl>
          Tian Shan montane conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80801
        </catValu>
        <labl>
          Alai-Western Tian Shan steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80805
        </catValu>
        <labl>
          Eastern Anatolian montane steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80808
        </catValu>
        <labl>
          Gissaro-Alai open woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80812
        </catValu>
        <labl>
          Middle East steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80814
        </catValu>
        <labl>
          Pontic steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80818
        </catValu>
        <labl>
          Tian Shan foothill arid steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80904
        </catValu>
        <labl>
          Nile Delta flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80905
        </catValu>
        <labl>
          Saharan halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81002
        </catValu>
        <labl>
          Central Tibetan Plateau alpine steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81003
        </catValu>
        <labl>
          Eastern Himalayan alpine shrub and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81004
        </catValu>
        <labl>
          Ghorat-Hazarajat alpine meadow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81005
        </catValu>
        <labl>
          Hindu Kush alpine meadow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81006
        </catValu>
        <labl>
          Karakoram-West Tibetan Plateau alpine steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81009
        </catValu>
        <labl>
          Kuh Rud and Eastern Iran montane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81010
        </catValu>
        <labl>
          Mediterranean High Atlas juniper steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81011
        </catValu>
        <labl>
          North Tibetan Plateau-Kunlun Mountains alpine desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81012
        </catValu>
        <labl>
          Northwestern Himalayan alpine shrub and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81014
        </catValu>
        <labl>
          Pamir alpine desert and tundra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81018
        </catValu>
        <labl>
          Sulaiman Range alpine meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81019
        </catValu>
        <labl>
          Tian Shan montane steppe and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81020
        </catValu>
        <labl>
          Tibetan Plateau alpine shrublands and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81021
        </catValu>
        <labl>
          Western Himalayan alpine shrub and Meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81022
        </catValu>
        <labl>
          Yarlung Tsangpo arid steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81201
        </catValu>
        <labl>
          Aegean and Western Turkey sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81203
        </catValu>
        <labl>
          Canary Islands dry woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81207
        </catValu>
        <labl>
          Eastern Mediterranean conifer-sclerophyllous-broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81208
        </catValu>
        <labl>
          Iberian conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81209
        </catValu>
        <labl>
          Iberian sclerophyllous and semi-deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81210
        </catValu>
        <labl>
          Illyrian deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81212
        </catValu>
        <labl>
          Mediterranean acacia-argania dry woodlands and succulent thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81213
        </catValu>
        <labl>
          Mediterranean dry woodlands and steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81214
        </catValu>
        <labl>
          Mediterranean woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81217
        </catValu>
        <labl>
          Pindus Mountains mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81219
        </catValu>
        <labl>
          Southeastern Iberian shrubs and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81220
        </catValu>
        <labl>
          Southern Anatolian montane conifer and deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81221
        </catValu>
        <labl>
          Southwest Iberian Mediterranean sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81222
        </catValu>
        <labl>
          Tyrrhenian-Adriatic Sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81301
        </catValu>
        <labl>
          Afghan Mountains semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81303
        </catValu>
        <labl>
          Arabian Desert and East Sahero-Arabian xeric shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81304
        </catValu>
        <labl>
          Atlantic coastal desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81305
        </catValu>
        <labl>
          Azerbaijan shrub desert and steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81306
        </catValu>
        <labl>
          Badghyz and Karabil semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81307
        </catValu>
        <labl>
          Baluchistan xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81309
        </catValu>
        <labl>
          Central Afghan Mountains xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81310
        </catValu>
        <labl>
          Central Asian northern desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81311
        </catValu>
        <labl>
          Central Asian riparian woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81312
        </catValu>
        <labl>
          Central Asian southern desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81318
        </catValu>
        <labl>
          Kazakh semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81320
        </catValu>
        <labl>
          Mesopotamian shrub desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81321
        </catValu>
        <labl>
          North Saharan steppe and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81322
        </catValu>
        <labl>
          Paropamisus xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81325
        </catValu>
        <labl>
          Red Sea Nubo-Sindian tropical desert and semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81326
        </catValu>
        <labl>
          Registan-North Pakistan sandy desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81327
        </catValu>
        <labl>
          Sahara desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81328
        </catValu>
        <labl>
          South Iran Nubo-Sindian desert and semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81329
        </catValu>
        <labl>
          South Saharan steppe and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81330
        </catValu>
        <labl>
          Taklimakan desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81332
        </catValu>
        <labl>
          West Saharan montane xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81333
        </catValu>
        <labl>
          Red Sea coastal desert
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1318" name="W_LIVELIHOOD" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Livelihood zone of household
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="834999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LIVELIHOOD reports the predominant livelihood zone within a 5 kilometer circular buffer around each DHS cluster location. Livelihood can be used as an indicator for sources of food and/or income and a measure for people's vulnerability to hazards, such as flood, drought, food crisis, market disruption, or conflicts. LIVELIHOOD is available for a subset of the DHS samples with GPS cluster information. 
 
Livelihood zones are country-specific; therefore, codes and labels for LIVELIHOOD vary across   countries. The 6-character codes (e.g., 854001) include the 3-digit country code (e.g., 854), followed by the 3-digit numeric livelihood (e.g., West cotton and cereals) code. Please see the User Note on Using IPUMS-DHS Contextual Variables: Livelihood Zones [URL omitted from DDI.] or the list of livelihood zones' labels and codes, categorized by country [URL omitted from DDI.]. The User Note also discusses the data sources and methodology used to calculate this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Coastal fishing, horticulture, and non-farm income
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Transitional banana and pineapple farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Southern livestock, millet, and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Sub humid livestock and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Mid-eastern cassava and savannah forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Central highlands potato and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          Central highlands maize and beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Transitional lowland maize, cassava, and beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Tropical forest, cassava, banana, and coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Southeast cassava, peanuts, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Northeast hunting and food crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1403
        </catValu>
        <labl>
          Northern sorghum and millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1404
        </catValu>
        <labl>
          East central mining, cassava, and peanuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1405
        </catValu>
        <labl>
          Southern coffee, cassava, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1406
        </catValu>
        <labl>
          Central cassava, peanuts, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1407
        </catValu>
        <labl>
          Central cotton, cassava, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1408
        </catValu>
        <labl>
          Northern cotton, cassava, and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1409
        </catValu>
        <labl>
          Western cassava, maize, and peanuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Copperbelt and Marginal Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Savannah Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Savannah Surplus Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1804
        </catValu>
        <labl>
          Kamalondo Depression
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1805
        </catValu>
        <labl>
          Southern Tanganyika-Mwero Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1806
        </catValu>
        <labl>
          Maniema Savannah Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1807
        </catValu>
        <labl>
          High Food Production and Surplus Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1808
        </catValu>
        <labl>
          Northern Tanganyika Midland Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1809
        </catValu>
        <labl>
          Mountain Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Abay Beshilo River Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Abay Gorge Sesame, Maize &amp; Honey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Abay Tekeze Watershed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Abe Dongoro-Diga-Sasiga Coffee &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2315
        </catValu>
        <labl>
          Abijata Shala Jido Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2316
        </catValu>
        <labl>
          Adaba Dodola Community Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2317
        </catValu>
        <labl>
          Addis Ababa City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2318
        </catValu>
        <labl>
          Adiyabo Lowland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2319
        </catValu>
        <labl>
          Afder Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Savannah forest and market-oriented cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Savannah forest and subsistence cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Fishing, cassava, and cross-border trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Coastal livestock ranching
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3241
        </catValu>
        <labl>
          Coastal: Rice, Fishing, Palm oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Piedmont: Rice, Groundnut, Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3243
        </catValu>
        <labl>
          Central plateau: Horticulture, Fonio, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3244
        </catValu>
        <labl>
          Mountain: Livestock, Fonio, Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3245
        </catValu>
        <labl>
          Mountain : Rice, Livestock, Fonio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3246
        </catValu>
        <labl>
          Northern plateau: Rice, Groundnut, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3247
        </catValu>
        <labl>
          Savannah with shrubs: Rice, Gold mining, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3248
        </catValu>
        <labl>
          Northeast: Maize, Gold mining, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3249
        </catValu>
        <labl>
          Wooded savannah: Rice, Manioc, Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Dry Coastal Maize and Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          North Tubers and Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Central Plateau Maize and Tubers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3324
        </catValu>
        <labl>
          Rice Plains of the Artibonite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3325
        </catValu>
        <labl>
          Western Banana Plains of Arcahaie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3326
        </catValu>
        <labl>
          West Gardening and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3327
        </catValu>
        <labl>
          South Beans, Bananas, and Petty Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3328
        </catValu>
        <labl>
          Southwestern Coast Maize, Manioc, and Bush Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3329
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Garifuna Littoral and Bay Islands Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Atlantic Littoral Palm Oil Production
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Labor Income from Maquilas, Banana, and Sugarcane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Mosquitia Hunting and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3405
        </catValu>
        <labl>
          Mountainous Coffee and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          Gulf of Fonseca Fishing and Salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3407
        </catValu>
        <labl>
          Subsistence Grains and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          Labor Income from Melons and Shrimp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3409
        </catValu>
        <labl>
          Grains and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4041
        </catValu>
        <labl>
          Northwestern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4042
        </catValu>
        <labl>
          Turkwell Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <labl>
          Northwestern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4044
        </catValu>
        <labl>
          Lake Turkana Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4045
        </catValu>
        <labl>
          Northern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4046
        </catValu>
        <labl>
          Marsabit Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4047
        </catValu>
        <labl>
          Northeastern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4048
        </catValu>
        <labl>
          Mandera Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4049
        </catValu>
        <labl>
          Northeastern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4261
        </catValu>
        <labl>
          Northern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4262
        </catValu>
        <labl>
          Southern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4263
        </catValu>
        <labl>
          Foothills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4264
        </catValu>
        <labl>
          Mountains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4265
        </catValu>
        <labl>
          Senqu River Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4301
        </catValu>
        <labl>
          North-East Rice Intercropped with Cowpeas, Groundnuts, and Palm Oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4302
        </catValu>
        <labl>
          North and Central Rice with Cassava and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4303
        </catValu>
        <labl>
          South-East Rice with Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4304
        </catValu>
        <labl>
          Coastal Plain Cassava with Rice and River Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4305
        </catValu>
        <labl>
          Coastal Fishing and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4306
        </catValu>
        <labl>
          Rice Intercropped and Forest Hunting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4307
        </catValu>
        <labl>
          Plantain Cash Crop with Food Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4308
        </catValu>
        <labl>
          Rubber and Charcoal with Food Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4309
        </catValu>
        <labl>
          Monrovia Peri-Urban: Petty Tade, Market Gardening, &amp; Casual Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Extreme north: sugar cane, fishing, tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          North: vanilla, clove, coconut tree
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Sofia River basin: tobacco, onion, fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Northern highland: rice, zebu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4505
        </catValu>
        <labl>
          Betsiboka Delta: rice, fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4506
        </catValu>
        <labl>
          Upper Betsiboka: gold mining, rice, cows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4507
        </catValu>
        <labl>
          Aloatra: rice, fishing, livestock rearing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4508
        </catValu>
        <labl>
          Toamasina: cloves, coffee, trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4509
        </catValu>
        <labl>
          West: rice, fishing, gathering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4541
        </catValu>
        <labl>
          Central Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4542
        </catValu>
        <labl>
          Chitipa Millet &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4543
        </catValu>
        <labl>
          Kasungu Lilongwe Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4544
        </catValu>
        <labl>
          Lake Chilwa - Phalombe Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4545
        </catValu>
        <labl>
          Lower Shire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4546
        </catValu>
        <labl>
          Middle Shire Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4547
        </catValu>
        <labl>
          Misuku Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4548
        </catValu>
        <labl>
          Mzimba Self Sufficient
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4549
        </catValu>
        <labl>
          Nkhata Bay Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4661
        </catValu>
        <labl>
          Nomadism and Trans-Saharan Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4662
        </catValu>
        <labl>
          Northern Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4663
        </catValu>
        <labl>
          Niger Loop Rice and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4664
        </catValu>
        <labl>
          Central Livestock, Millet, and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4665
        </catValu>
        <labl>
          Dogon Plateau Millet and Shallots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4666
        </catValu>
        <labl>
          Niger Delta Rice, Cattle, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4667
        </catValu>
        <labl>
          Office du NigerRice and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4668
        </catValu>
        <labl>
          Northwestern Sorghum, Remittances, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4669
        </catValu>
        <labl>
          Central Sorghum and Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5081
        </catValu>
        <labl>
          Lakeshore Basic Staples and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5082
        </catValu>
        <labl>
          Northern Highland Forest and Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5083
        </catValu>
        <labl>
          Northwestern Tobacco and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5084
        </catValu>
        <labl>
          Northern Cassava, Maize, and Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5085
        </catValu>
        <labl>
          Northern Highland with Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5086
        </catValu>
        <labl>
          Northeastern Highland Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5087
        </catValu>
        <labl>
          Northeastern Cassava, Cashew, and Coconut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5088
        </catValu>
        <labl>
          North-Central Coastal Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5089
        </catValu>
        <labl>
          Plains with Cassava, Rice, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5621
        </catValu>
        <labl>
          North-east Oases: Dates, Salt and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5622
        </catValu>
        <labl>
          Massif Irrigated Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5623
        </catValu>
        <labl>
          Transhumant and Nomad Pastoralism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5624
        </catValu>
        <labl>
          Agropastoral Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5625
        </catValu>
        <labl>
          Rainfed Millet and Sorghum Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5626
        </catValu>
        <labl>
          Cropping and Herding with High Work Outmigration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5627
        </catValu>
        <labl>
          Southern Irrigated Cash Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5628
        </catValu>
        <labl>
          Southwestern Cereals with Fan-Palm Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5629
        </catValu>
        <labl>
          Niger River Irrigated Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5661
        </catValu>
        <labl>
          Coastal Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5662
        </catValu>
        <labl>
          Southern Cocoa, Palm Oil, and Kola nut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5663
        </catValu>
        <labl>
          South-Central Yam, Cassava, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5664
        </catValu>
        <labl>
          Southeast Rice, Salt, and Granite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5665
        </catValu>
        <labl>
          Niger and Benue River Floodplain Rice and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5666
        </catValu>
        <labl>
          Central Plain Yam and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5667
        </catValu>
        <labl>
          Mambilla Plateau Cattle, Cocoa, and Tea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5668
        </catValu>
        <labl>
          Central Highland Maize and Soybean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5669
        </catValu>
        <labl>
          Northeastern Highland Maize, Cocoyam, Potatoes, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6461
        </catValu>
        <labl>
          Lake Kivu Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6462
        </catValu>
        <labl>
          Western Congo-Nile Crest Tea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6463
        </catValu>
        <labl>
          Northwestern Volcanic Irish Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6464
        </catValu>
        <labl>
          Eastern Congo-Nile Highland Subsistence Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6465
        </catValu>
        <labl>
          Central Plateau Cassava and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6466
        </catValu>
        <labl>
          Northern Highland Beans and Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6467
        </catValu>
        <labl>
          Central-Northern Highland Irish Potato, Beans and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6468
        </catValu>
        <labl>
          Bugesera Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6469
        </catValu>
        <labl>
          Eastern Plateau Mixed Agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6861
        </catValu>
        <labl>
          The Niayes Gardening and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6862
        </catValu>
        <labl>
          Delta Rice, Horticulture, and Agricultural Labor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6863
        </catValu>
        <labl>
          Valley Rice and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6864
        </catValu>
        <labl>
          Dieri Millet and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6865
        </catValu>
        <labl>
          Rainfed Cowpea and Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6866
        </catValu>
        <labl>
          Sylvopatoral Livestock and Gathering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6867
        </catValu>
        <labl>
          Small Coast Fishing and Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6868
        </catValu>
        <labl>
          Rainfed Groundnut and Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6869
        </catValu>
        <labl>
          Agropastoral Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6941
        </catValu>
        <labl>
          Tonkolili Food Crops and Gold
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6942
        </catValu>
        <labl>
          Bombali Food Crops, Peppers, Tobacco and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6943
        </catValu>
        <labl>
          Western Rice, Root Crops, Cereals and Trade Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6944
        </catValu>
        <labl>
          Coastal Food Crops and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6945
        </catValu>
        <labl>
          Kailahun-Kenema-Kono Cash Crops, Food Crops and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6946
        </catValu>
        <labl>
          Kono-Kenema-Bo Rice, Tree Crops and Timber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6947
        </catValu>
        <labl>
          Koinadugu Livestock, Food Crops and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6948
        </catValu>
        <labl>
          Follosaba Dembelia and Wara Wara Yagala Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6949
        </catValu>
        <labl>
          Freetown Peri-Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Agrofisheries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Beitbridge South Western Lowveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Bikita-Zaka Highlands Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Central and Northern Semi Intensive Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Cereal and High Cotton Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Cereal and Low Cotton Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7167
        </catValu>
        <labl>
          Eastern Highlands Commercial Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7168
        </catValu>
        <labl>
          Eastern Highlands Prime Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7169
        </catValu>
        <labl>
          Eastern Kalahari Sandveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7621
        </catValu>
        <labl>
          Eastern Pamir Plateau Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7622
        </catValu>
        <labl>
          Western Pamir Valley Migratory Work Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7623
        </catValu>
        <labl>
          Western Pamir Irrigated Agriculture Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7624
        </catValu>
        <labl>
          Rasht Valley Irrigated Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7625
        </catValu>
        <labl>
          Khatlon Mountain Agro-Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7626
        </catValu>
        <labl>
          Southern Khatlon Cotton, Vegetable and Wheat Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7627
        </catValu>
        <labl>
          Khatlon Rainfed Wheat and Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7628
        </catValu>
        <labl>
          Central and Eastern Tajikistan Agro-Industrial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7629
        </catValu>
        <labl>
          Eastern and Central Zeravshan Valley Agro-Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          North Eastern Karamoja Highland Apiculture and Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Western Karamoja Mixed Crop Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8003
        </catValu>
        <labl>
          South Eastern Karamoja Cattle Maize Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8004
        </catValu>
        <labl>
          Karamoja Mountain and Foot Hills Maize and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8005
        </catValu>
        <labl>
          Central Karamoja Sorghum and Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8006
        </catValu>
        <labl>
          NE Sorghum Simsim Maize Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8007
        </catValu>
        <labl>
          North Kitgum Gulu Amuru West Nile Simsim Sorghum Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8008
        </catValu>
        <labl>
          Palabek Tobacco Simsim Sorghum and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8009
        </catValu>
        <labl>
          South Kitgum Pader Abim Simsim Groundnuts Sorghum Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8341
        </catValu>
        <labl>
          Southern Maasai Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8342
        </catValu>
        <labl>
          River Pangani Paddy and Maize Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8343
        </catValu>
        <labl>
          Tanga Maize and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8344
        </catValu>
        <labl>
          Tanga Maize and Sisal Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8345
        </catValu>
        <labl>
          Usambara-Pare Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8346
        </catValu>
        <labl>
          Tanga Maize, Orange, and Jackfruit Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8347
        </catValu>
        <labl>
          Tanga-Pwani Coastal Maize, Paddy Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8348
        </catValu>
        <labl>
          Handeni-Bagamoyo Maize, Cassava, and Fruit Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8349
        </catValu>
        <labl>
          Loliondo Midland Maize, Beans, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8541
        </catValu>
        <labl>
          South tubers and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8542
        </catValu>
        <labl>
          Southwest fruits, cotton, and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8543
        </catValu>
        <labl>
          West cotton and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8544
        </catValu>
        <labl>
          West cereals and remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8545
        </catValu>
        <labl>
          Central plateau cereals and market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8546
        </catValu>
        <labl>
          Ouagadougou peri-urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8547
        </catValu>
        <labl>
          North and east livestock and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8548
        </catValu>
        <labl>
          North transhuman pastoralism and millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8549
        </catValu>
        <labl>
          Southeast cereals, livestock, forestry and faune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8941
        </catValu>
        <labl>
          Northwest High Rainfall Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8942
        </catValu>
        <labl>
          Tuta-Luapula Corridor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8943
        </catValu>
        <labl>
          Northern Province Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8944
        </catValu>
        <labl>
          Copperbelt Mining Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8945
        </catValu>
        <labl>
          Mufumbwe-Kasempa Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8946
        </catValu>
        <labl>
          Muchinga Escarpment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8947
        </catValu>
        <labl>
          Central Maize-Cotton Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8948
        </catValu>
        <labl>
          Chama-Lundazi Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8949
        </catValu>
        <labl>
          Line Of Rail Commercial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10811
        </catValu>
        <labl>
          Buragane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10812
        </catValu>
        <labl>
          Congo Ridge Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10813
        </catValu>
        <labl>
          Eastern Arid Plateaus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10814
        </catValu>
        <labl>
          Humid Plateaus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10815
        </catValu>
        <labl>
          Imbo Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10816
        </catValu>
        <labl>
          Northern Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10817
        </catValu>
        <labl>
          Eastern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10818
        </catValu>
        <labl>
          Southern Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14010
        </catValu>
        <labl>
          Southern maize, citrus fruits, and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14011
        </catValu>
        <labl>
          Southwest cassava, coffee, gathering, and mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18010
        </catValu>
        <labl>
          Midland Agricultural Savannah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18011
        </catValu>
        <labl>
          Virunga Volcanic Soils Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18012
        </catValu>
        <labl>
          Forest Cultivation and Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18013
        </catValu>
        <labl>
          Artisanal Mining with Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18014
        </catValu>
        <labl>
          Northeast Highlands Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18015
        </catValu>
        <labl>
          Orientale Fishing with Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18016
        </catValu>
        <labl>
          Northern Plateau Cassava, Maize, Groundnuts and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18017
        </catValu>
        <labl>
          Bumba Rice and Tubers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18018
        </catValu>
        <labl>
          Bomongo and Makanza Districts Intensive Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18019
        </catValu>
        <labl>
          Fishing and Staples Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18020
        </catValu>
        <labl>
          Cuvette Centrale Staple Crops, Fishing and Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18021
        </catValu>
        <labl>
          Equatorial Forest, Hunting, Fishing and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18022
        </catValu>
        <labl>
          Lighter Forest with Rice and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18023
        </catValu>
        <labl>
          Savannah with Cassava and Cowpeas and Small Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18024
        </catValu>
        <labl>
          Intensive Artisanal Diamond Exploitation with Crop Cultivation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18025
        </catValu>
        <labl>
          Clay Soils with High Production of Cassava and Maize, and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18026
        </catValu>
        <labl>
          High Food Crop Production and Trading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18027
        </catValu>
        <labl>
          Agropastoral Staple Crops, Small Stock and Cattle and Wild Foods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18028
        </catValu>
        <labl>
          Agriculture with High Production and Marketing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18029
        </catValu>
        <labl>
          Cassava, Maize and Groundnuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18030
        </catValu>
        <labl>
          Market Gardening and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18031
        </catValu>
        <labl>
          River Fishing and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18032
        </catValu>
        <labl>
          Coastal Fishing and Kitchen Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18033
        </catValu>
        <labl>
          Forest Staple Crops, Cash Crops and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18034
        </catValu>
        <labl>
          Kinshasa Peri-urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Agarfa, Gasera, Ginir &amp; Gololcha Fruit, Coffee &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23111
        </catValu>
        <labl>
          Alaba-Mareko Lowland Pepper LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23112
        </catValu>
        <labl>
          Alaje Ofla Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23113
        </catValu>
        <labl>
          Amaro Coffee and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23114
        </catValu>
        <labl>
          Ambo Selale Ginderberet Teff &amp; Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23115
        </catValu>
        <labl>
          Ameya-Wolisso-Ambo Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23116
        </catValu>
        <labl>
          Anfilo Coffee Monoculture &amp; Honey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23117
        </catValu>
        <labl>
          Anger Maize, Sorghum &amp; Finger Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23118
        </catValu>
        <labl>
          Aramiss - Adaar Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23119
        </catValu>
        <labl>
          Arsi Bale Wheat, Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23120
        </catValu>
        <labl>
          Asale Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23121
        </catValu>
        <labl>
          Asale Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23122
        </catValu>
        <labl>
          Atsbi Womberta Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23123
        </catValu>
        <labl>
          Awassa Chat and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23124
        </catValu>
        <labl>
          Awsa-Gewane Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23125
        </catValu>
        <labl>
          Badewacho-Alaba Maize LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23126
        </catValu>
        <labl>
          Bale Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23127
        </catValu>
        <labl>
          Bale Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23128
        </catValu>
        <labl>
          Basketo-Melo Coffee and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23129
        </catValu>
        <labl>
          Becho-Adea Teff &amp; Chickpea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23130
        </catValu>
        <labl>
          Bench-Keffa Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23131
        </catValu>
        <labl>
          Bilate Basin Agro-Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23132
        </catValu>
        <labl>
          Borena-Guji Cattle Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23133
        </catValu>
        <labl>
          Borena-Guji Coffee &amp; Enset
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23134
        </catValu>
        <labl>
          Borena-Guji Maize, Wheat &amp; Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23135
        </catValu>
        <labl>
          Central Highland Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23136
        </catValu>
        <labl>
          Central Horo Teff, Nug &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23137
        </catValu>
        <labl>
          Central Kolla Sorghum, Maize &amp; Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23138
        </catValu>
        <labl>
          Central Mixed Crop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23139
        </catValu>
        <labl>
          Chamo-Abaya Irrigated Banana LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23140
        </catValu>
        <labl>
          Chat &amp; Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23141
        </catValu>
        <labl>
          Chebo-Inchini Enset, Barley &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23142
        </catValu>
        <labl>
          Cheffa valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23143
        </catValu>
        <labl>
          Chenno Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23144
        </catValu>
        <labl>
          Chercher &amp; Gololcha Chole Coffee, Maize &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23145
        </catValu>
        <labl>
          Dale-Lalo Sorghum &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23146
        </catValu>
        <labl>
          Dallo, Barbare &amp; Arana-Buluk Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23147
        </catValu>
        <labl>
          Dawa-Ganale Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23148
        </catValu>
        <labl>
          Dawro-Konta Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23149
        </catValu>
        <labl>
          Degahbur Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23150
        </catValu>
        <labl>
          Didessa-Gibe-Wama Valley Sorghum, Maize &amp; Oilcrops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23151
        </catValu>
        <labl>
          Eastern Planteau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23152
        </catValu>
        <labl>
          Ebantu-Limu Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23153
        </catValu>
        <labl>
          Eli daar Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23154
        </catValu>
        <labl>
          Enderta Dry Midland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23155
        </catValu>
        <labl>
          Fik Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23156
        </catValu>
        <labl>
          Filtu-Dolo Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23157
        </catValu>
        <labl>
          Gambella Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23158
        </catValu>
        <labl>
          Gambella Coffee, Honey &amp; Cereal LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23159
        </catValu>
        <labl>
          Gambella Mixed Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23160
        </catValu>
        <labl>
          Gamo Gofa Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23161
        </catValu>
        <labl>
          Gamo Gofa Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23162
        </catValu>
        <labl>
          Gedeo Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23163
        </catValu>
        <labl>
          Gera-Setema-Sale Forest Teff, Honey &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23164
        </catValu>
        <labl>
          Gerbo Enset &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23165
        </catValu>
        <labl>
          Gesho and Wheat Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23166
        </catValu>
        <labl>
          Gibe Maize &amp; Peppers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23167
        </catValu>
        <labl>
          Gode Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23168
        </catValu>
        <labl>
          Goro-Ginir Spice &amp; Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23169
        </catValu>
        <labl>
          Guduru-Amuru Maize, Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23170
        </catValu>
        <labl>
          Guji-Borena Enset, Barley &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23171
        </catValu>
        <labl>
          Guna Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23172
        </catValu>
        <labl>
          Gurage Lowland Maize and Teff LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23173
        </catValu>
        <labl>
          Gurage-Siltie Enset and Teff LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23174
        </catValu>
        <labl>
          Gurage-Siltie Highland Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23175
        </catValu>
        <labl>
          Gurage-Siltie Midland Enset and Chat LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23176
        </catValu>
        <labl>
          Gursum-Babile Groundnuts &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23177
        </catValu>
        <labl>
          Hadero Ginger LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23178
        </catValu>
        <labl>
          Hadiya Maize LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23179
        </catValu>
        <labl>
          Hadiya-Kembata Cereal and Enset LZ - Hadiya sub zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23180
        </catValu>
        <labl>
          Hadiya-Kembata Cereal and Enset LZ - Kembata sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23181
        </catValu>
        <labl>
          Harshin-Degahbur East Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23182
        </catValu>
        <labl>
          Humera Sesame and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23183
        </catValu>
        <labl>
          Illu-Wellega-Birbir Maize, Peppers &amp; Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23184
        </catValu>
        <labl>
          Irob Mountains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23185
        </catValu>
        <labl>
          Jaldu-Dendi-Ilfata Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23186
        </catValu>
        <labl>
          Jijiga Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23187
        </catValu>
        <labl>
          Jijiga Sedentary Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23188
        </catValu>
        <labl>
          Jimma-Illubabur Coffee, Cereals &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23189
        </catValu>
        <labl>
          Jimma-Yama Logi Teff &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23190
        </catValu>
        <labl>
          Kaffa Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23191
        </catValu>
        <labl>
          Kedida-Badewacho Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23192
        </catValu>
        <labl>
          Kereyu Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23193
        </catValu>
        <labl>
          Keto-Begi Cereals &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23194
        </catValu>
        <labl>
          Kofele Kokosa Enset &amp; Cattle Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23195
        </catValu>
        <labl>
          Korahe Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23196
        </catValu>
        <labl>
          Korahe-Gode Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23197
        </catValu>
        <labl>
          Liban Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23198
        </catValu>
        <labl>
          Lowland-Hawd Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23199
        </catValu>
        <labl>
          Market-Isolated Cattle &amp; Shoat Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32410
        </catValu>
        <labl>
          Pre-forest zone: Rice, Manioc, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32411
        </catValu>
        <labl>
          Forest: Rice, Palm oil, Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34010
        </catValu>
        <labl>
          Platano River Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34011
        </catValu>
        <labl>
          Urban Center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40410
        </catValu>
        <labl>
          Grasslands Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40411
        </catValu>
        <labl>
          Southeastern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40412
        </catValu>
        <labl>
          Coastal Medium Potential Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40413
        </catValu>
        <labl>
          Coastal Marginal Agricultural Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40414
        </catValu>
        <labl>
          Tana Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40415
        </catValu>
        <labl>
          Southern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40416
        </catValu>
        <labl>
          Southeastern Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40417
        </catValu>
        <labl>
          Southeastern Medium Potential, Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40418
        </catValu>
        <labl>
          Southern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40419
        </catValu>
        <labl>
          Central Highlands, High Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40420
        </catValu>
        <labl>
          Western Medium Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40421
        </catValu>
        <labl>
          Western High Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40422
        </catValu>
        <labl>
          Western Lakeshore Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40423
        </catValu>
        <labl>
          Lake Victoria Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40424
        </catValu>
        <labl>
          Western Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45010
        </catValu>
        <labl>
          Agropastoral midwest: rice, maize, pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45011
        </catValu>
        <labl>
          Central Iarivo: rice, market gardening, eucalyptus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45012
        </catValu>
        <labl>
          Moramanga: forest, petty trade, market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45013
        </catValu>
        <labl>
          Center-east: litchi, coffee, citrus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45014
        </catValu>
        <labl>
          Ankaratra: staple crops, horticulture, milk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45015
        </catValu>
        <labl>
          Tsirobihina Delta: rice, fishing, pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45016
        </catValu>
        <labl>
          South-central peneplain: rice, onion, small livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45017
        </catValu>
        <labl>
          Southern highlands: staple crops, crafts, market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45018
        </catValu>
        <labl>
          Corridor: forest products, banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45019
        </catValu>
        <labl>
          Southeast: coffee, litchi, cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45020
        </catValu>
        <labl>
          Southwest: rice, lima bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45021
        </catValu>
        <labl>
          Bara plateau: cows, cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45022
        </catValu>
        <labl>
          Center-south: staple crops, industrial sisal, zebu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45023
        </catValu>
        <labl>
          Mahafaly plateau: cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45024
        </catValu>
        <labl>
          Extreme south: cassava, maize, livestock rearing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45410
        </catValu>
        <labl>
          Northern Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45411
        </catValu>
        <labl>
          Northern Lakeshore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45412
        </catValu>
        <labl>
          Phirilongwe Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45413
        </catValu>
        <labl>
          Rift Valley Escarpment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45414
        </catValu>
        <labl>
          Shire Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45415
        </catValu>
        <labl>
          Southern Lakeshore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45416
        </catValu>
        <labl>
          Thyolo Mulunje Tea Estates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45417
        </catValu>
        <labl>
          Western Rumphi &amp; Mzimba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45418
        </catValu>
        <labl>
          Border Productive Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45420
        </catValu>
        <labl>
          National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45421
        </catValu>
        <labl>
          Lake Niassa islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46610
        </catValu>
        <labl>
          Southeastern Sorghum, Millet, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46611
        </catValu>
        <labl>
          Southern Maize, Cotton, and Fruits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46612
        </catValu>
        <labl>
          Southwestern Maize, Livestock, and Gold Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46613
        </catValu>
        <labl>
          Center-eastern Millet and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46614
        </catValu>
        <labl>
          Lakes Recessional Millet and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46615
        </catValu>
        <labl>
          Western Groundnut, Sorghum, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46616
        </catValu>
        <labl>
          Southwestern Gold Mining and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50810
        </catValu>
        <labl>
          Zambezi Valley with Maize and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50811
        </catValu>
        <labl>
          Northwestern Cropping and Cross-border Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50812
        </catValu>
        <labl>
          Coastal Sugarcane and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50813
        </catValu>
        <labl>
          Tete Highland Mixed Cropping, Tobbaco, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50814
        </catValu>
        <labl>
          Cahora Bassa Dam Sesame and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50815
        </catValu>
        <labl>
          Central Semiarid Cotton and Minerals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50816
        </catValu>
        <labl>
          Manica Highland Mixed Cropping, Cotton, and Tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50817
        </catValu>
        <labl>
          Central Manica and Sofala Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50818
        </catValu>
        <labl>
          Cheringoma and Muanza Maize and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50819
        </catValu>
        <labl>
          Central Semiarid Pineapple and Cashew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50820
        </catValu>
        <labl>
          Southern Coastal Cassava, Coconut, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50821
        </catValu>
        <labl>
          Southern Intermediate Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50822
        </catValu>
        <labl>
          Southern Semiarid Cereals and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50823
        </catValu>
        <labl>
          Southeastern Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50824
        </catValu>
        <labl>
          Limpopo and Elephant Rivers Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50825
        </catValu>
        <labl>
          Southern Coastal Rishing, Manioc, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50826
        </catValu>
        <labl>
          Southern Highland Cattle and Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56210
        </catValu>
        <labl>
          Dallols - Seasonal Water-Course Irrigated Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56211
        </catValu>
        <labl>
          Southeastern Natron Salt and Small Basin Irrigated Dates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56212
        </catValu>
        <labl>
          Komadougou Irrigated Peppers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56213
        </catValu>
        <labl>
          Lake Chad Flood-Retreat Cultivation with Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56214
        </catValu>
        <labl>
          Transhumant and Nomad Pastoralism-Camels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56610
        </catValu>
        <labl>
          North-Central Maize, Sorghum, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56611
        </catValu>
        <labl>
          Northern Floodplains Irrigated Rice, Wheat, and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56612
        </catValu>
        <labl>
          Northeast Millet, Cowpea, and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56613
        </catValu>
        <labl>
          Sahel Mixed Cereals and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56614
        </catValu>
        <labl>
          Lake Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64610
        </catValu>
        <labl>
          Southeastern Plateau Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64611
        </catValu>
        <labl>
          Eastern Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64612
        </catValu>
        <labl>
          Eastern Semi-Arid Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64613
        </catValu>
        <labl>
          Urban Area
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64614
        </catValu>
        <labl>
          Akagera National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64615
        </catValu>
        <labl>
          Gishwati Forest Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64616
        </catValu>
        <labl>
          Mukura Forest Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64617
        </catValu>
        <labl>
          Nyungwe Forest National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68610
        </catValu>
        <labl>
          Rainfed Groundnut and Cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68611
        </catValu>
        <labl>
          Forest and Rainfed Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68612
        </catValu>
        <labl>
          Forest, Rainfed Rice, and Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68613
        </catValu>
        <labl>
          Rainfed Maize, Cotton, and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68614
        </catValu>
        <labl>
          Rainfed Maize and Lumber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68615
        </catValu>
        <labl>
          Rainfed Maize and Artisanal Gold Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68616
        </catValu>
        <labl>
          Urban Area - Dakar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69410
        </catValu>
        <labl>
          Rice Bowl Areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71610
        </catValu>
        <labl>
          Greater Mudzi Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71611
        </catValu>
        <labl>
          Highveld Prime Cereal and Cash Crop Resettlement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71612
        </catValu>
        <labl>
          Highveld Prime Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71613
        </catValu>
        <labl>
          Irrigated Commercial Sugar and Fruit Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71614
        </catValu>
        <labl>
          Kariba Valley and Kariangwe-Jambezi Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71615
        </catValu>
        <labl>
          Livestock and Cereal Farming Communal in Forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71616
        </catValu>
        <labl>
          Lusulu, Lupane and Southern Gokwe Mixed Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71617
        </catValu>
        <labl>
          Masvingo Manicaland Middleveld Smallholder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71618
        </catValu>
        <labl>
          Matabeleland Middleveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71619
        </catValu>
        <labl>
          Mutorashanga Informal mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71620
        </catValu>
        <labl>
          Mwenezi, Chivi and South Midland Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71621
        </catValu>
        <labl>
          Northern Cattle and Cereal Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71622
        </catValu>
        <labl>
          Northern Zambezi Valley Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71623
        </catValu>
        <labl>
          Save River Valley and Ndowoyo Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71624
        </catValu>
        <labl>
          Southern Cattle and Cereal Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71625
        </catValu>
        <labl>
          Western Kalahari Sandveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76210
        </catValu>
        <labl>
          Panjakent Rice, Fruit and Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76211
        </catValu>
        <labl>
          Ghonchi and Istaravshan Rainfed Cereal, Fruit, and Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76212
        </catValu>
        <labl>
          North Sughd Agro-Industrial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76213
        </catValu>
        <labl>
          Khatlon Agro-Industrial Peri-urban Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80010
        </catValu>
        <labl>
          Albertine West Nile Lowland Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80011
        </catValu>
        <labl>
          Kafu Muzizi Maize Upland Rice Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80012
        </catValu>
        <labl>
          Albertine Escarpment Cotton Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80013
        </catValu>
        <labl>
          Bwijanga Pakanyi SugarcaNE Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80014
        </catValu>
        <labl>
          Karuma Masindi Oyam Tobacco Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80015
        </catValu>
        <labl>
          West Nile Tobacco Cassava Sorghum Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80016
        </catValu>
        <labl>
          Rwenzori Mt.Elgon West Nile Arabica Coffee Banana Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80017
        </catValu>
        <labl>
          Amuru Gulu Rice Groundnut Sorghum Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80018
        </catValu>
        <labl>
          Southwest Gulu Beans Groundnuts Shoat Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80019
        </catValu>
        <labl>
          Mid North Simsim Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80020
        </catValu>
        <labl>
          Eastern Lowland Maize Beans Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80021
        </catValu>
        <labl>
          Eastern Central Lowland Cassava Sorghum and Groundnut Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80022
        </catValu>
        <labl>
          Mt Elgon Highland Irish Potato Cereal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80023
        </catValu>
        <labl>
          Central and Southern Cattle Cassava Maize Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80024
        </catValu>
        <labl>
          Lakeshore and Riverbank Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80025
        </catValu>
        <labl>
          Southeastern Maize Beans Robusta Coffee Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80026
        </catValu>
        <labl>
          Midwest Central and Lake Victoria Crescent Robusta Coffee Banana Maize and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80027
        </catValu>
        <labl>
          Rwenzori Midland Banana Fruit Vegetable Dairy Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80028
        </catValu>
        <labl>
          Kazinga Channel Cassava Maize Fruit Vegetable Cotton Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80029
        </catValu>
        <labl>
          Rwenzori Lowland Maize Vegetable Banana Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80030
        </catValu>
        <labl>
          Southeastern Lowland Cassava Cereal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80031
        </catValu>
        <labl>
          Eastern Lowland Rice Root Crop Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80032
        </catValu>
        <labl>
          Southeastern Lowland Cassava Maize Sweet Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80033
        </catValu>
        <labl>
          East Central Plantation Outgrower Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80034
        </catValu>
        <labl>
          Kayunga Masaka Pineapple Banana Robusta Coffee and Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80035
        </catValu>
        <labl>
          SW Highland Irish Potato Sorghum Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80036
        </catValu>
        <labl>
          Kalangala Fishing Oil Palm Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80037
        </catValu>
        <labl>
          Western Rift Valley Cocoa Coffee Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80038
        </catValu>
        <labl>
          Rwenzori Midland Tea and Dairy Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80039
        </catValu>
        <labl>
          Southwestern Midland Banana Robusta Coffee Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80040
        </catValu>
        <labl>
          SW Rift Valley Tobacco Bean Millet Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83410
        </catValu>
        <labl>
          Lower Rombo Maize, Beans, and Finger Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83411
        </catValu>
        <labl>
          Kilimanjaro-Meru Maize, Coffee, and Plantains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83412
        </catValu>
        <labl>
          Karatu Wheat, Maize, and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83413
        </catValu>
        <labl>
          Lower Arusha-Simanjiro Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83414
        </catValu>
        <labl>
          Northern Maasai Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83415
        </catValu>
        <labl>
          Nowu Maize, Beans, and Onions Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83416
        </catValu>
        <labl>
          Babati Kwaraa Maize, Beans, Sunflower, and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83417
        </catValu>
        <labl>
          Kiteto-Kongwa-Mpwapwa-Mvomero Maize, Sorghum, and Pigeon Pea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83418
        </catValu>
        <labl>
          Mbulu-Karatu Midlands Maize, Beans, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83419
        </catValu>
        <labl>
          Hadzabe Hunter-Gatherer Wild Honey, Wild Roots, and Wild Fruit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83420
        </catValu>
        <labl>
          Wembere Paddy, Sorghum, Maize, Sunflower, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83421
        </catValu>
        <labl>
          Bahi-Sanza Irrigated Rice, Maize, Bulrush Millet, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83422
        </catValu>
        <labl>
          Iramba Midland Onion, Maize, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83423
        </catValu>
        <labl>
          Manyoni Upland Maize, Sunflower, Sesame, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83424
        </catValu>
        <labl>
          Tabora-Singida Midland Maize, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83425
        </catValu>
        <labl>
          Singida-Manyara Maize, Sorghum, Beans, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83426
        </catValu>
        <labl>
          East and South Lakeshore Fishing, Cassava, and Upland Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83427
        </catValu>
        <labl>
          Western Lakeshore Coffee, Fishing, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83428
        </catValu>
        <labl>
          Kagera-Kigoma-Mara Banana, Coffee, and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83429
        </catValu>
        <labl>
          Mwanza-Shinyanga-Mara Cotton, Livestock, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83430
        </catValu>
        <labl>
          Kagera Lowlands Beans, Maize, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83431
        </catValu>
        <labl>
          Shinyanga-Tabora Cotton, Upland Rice, Sweet Potato, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83432
        </catValu>
        <labl>
          Sengerema-Geita Highland Cassava, Rice, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83433
        </catValu>
        <labl>
          Kagera-Kigoma Beans, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83434
        </catValu>
        <labl>
          Kahama-Tabora Midland Tobacco, Maize, Rice, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83435
        </catValu>
        <labl>
          Kishapu-Meatu-Maswa Sorghum, Cotton, Sweet Potato, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83436
        </catValu>
        <labl>
          Urambo-Nzega Lowland Groundnuts, Cotton, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83437
        </catValu>
        <labl>
          Kigoma Lowland Palm Oil, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83438
        </catValu>
        <labl>
          Urambo Agropastoral Maize and Sweet Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83439
        </catValu>
        <labl>
          Victoria Islands Fishing, Cassava, Sweet Potato, and Paddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83440
        </catValu>
        <labl>
          Ruaha Riverine Maize, Onion, Tomato, and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83441
        </catValu>
        <labl>
          Chalinze-Tunuguo Maize, Cattle, and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83442
        </catValu>
        <labl>
          Kilombero-Mtibwa Paddy, Maize, and Sugar Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83443
        </catValu>
        <labl>
          Kilombero-Ulanga-Lusewa Paddy, Maize, and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83444
        </catValu>
        <labl>
          Kilosa-Mvomero Maize and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83445
        </catValu>
        <labl>
          Matombo-Kuyuni Spice, Maize, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83446
        </catValu>
        <labl>
          Bagamoyo-Kibaha Midland Cassava, Cashew, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83447
        </catValu>
        <labl>
          Morogoro Highland Maize and Vegetable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83448
        </catValu>
        <labl>
          Maskat-Kimbet Maize and Beans Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83449
        </catValu>
        <labl>
          Newala-Masasi Plateau Sesame, Cassava, Cashew, and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83450
        </catValu>
        <labl>
          Mtwara-Lindi Coastal Rice and Cashew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83451
        </catValu>
        <labl>
          Matumbi Midland Upland Rice, Oranges, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83452
        </catValu>
        <labl>
          Lindi-Nachingwea Lowland Cassava and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83453
        </catValu>
        <labl>
          Southeastern Plateau Cassava, Cashew, and Bambara Nuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83454
        </catValu>
        <labl>
          Mtwara-Lindi-Pwani Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83455
        </catValu>
        <labl>
          Singida-Dodoma Sorghum, B/Millet, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83456
        </catValu>
        <labl>
          Dodoma Lowland Sunflower, Grape, and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83457
        </catValu>
        <labl>
          Mpanda Maize, Paddy, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83458
        </catValu>
        <labl>
          Lake Tanganyika-Rukwa Fishing, Maize, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83459
        </catValu>
        <labl>
          Kyela Paddy, Cacao, and Palm Oil Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83460
        </catValu>
        <labl>
          Rungwe Banana, Coffee, Tea, and Livestock Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83461
        </catValu>
        <labl>
          Mporoto-Umalila Irish Potato, Maize, Wheat, and Pyrethrum Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83462
        </catValu>
        <labl>
          Mbozi-Mbeya Coffee, Maize, Beans, and Livestock Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83463
        </catValu>
        <labl>
          Usangu Paddy, Maize, Sorghum, and Livestock Wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83464
        </catValu>
        <labl>
          Kamsamba Paddy, Sorghum, and Livestock Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83465
        </catValu>
        <labl>
          Chunya Maize, Sunflower, Cassava, and Groundnut Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83466
        </catValu>
        <labl>
          West Chunya Maize, Bulrush Millet, and Sesame Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83467
        </catValu>
        <labl>
          Lake Nyasa Shore Cassava Fishing and Paddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83468
        </catValu>
        <labl>
          Namtumbo Tobacco, Maize, Paddy, and Cassava Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83469
        </catValu>
        <labl>
          Matengo Coffee, Maize, Beans, and Piggery Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83470
        </catValu>
        <labl>
          Songea-Namtumbo-Ludewa-Mibinga Maize, Beans, and Cassava Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83471
        </catValu>
        <labl>
          Njombe-Mufindi Maize, Timber, Tea, Pyrethrum, and Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83472
        </catValu>
        <labl>
          Mtera Dam Fishing, Sorghum, and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83473
        </catValu>
        <labl>
          Makete Wheat, Irish Potato, Timber, and Employment Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83474
        </catValu>
        <labl>
          Njombe-Mufindi Maize, Irish Potato, and Bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83475
        </catValu>
        <labl>
          Iringa-Mbarali Maize, Sunflower, Beans, and Groundnut Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83476
        </catValu>
        <labl>
          Tunduru-Nachingwea-Nanyumbu Cashew, Cassava, and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83477
        </catValu>
        <labl>
          Mpanda-Chunya-Sikonge Maize and Tobacco Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83478
        </catValu>
        <labl>
          Sumbawanga-Mbozi-Mpanda Maize, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83479
        </catValu>
        <labl>
          Water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89410
        </catValu>
        <labl>
          Eastern Province Cash Crop Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89411
        </catValu>
        <labl>
          Sioma Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89412
        </catValu>
        <labl>
          Kazungula-Mwandi Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89413
        </catValu>
        <labl>
          Chongwe-Nyimba Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89414
        </catValu>
        <labl>
          Luano Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89415
        </catValu>
        <labl>
          Mulobezi Woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89416
        </catValu>
        <labl>
          Zambezi West Bank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89417
        </catValu>
        <labl>
          Zambezi East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89418
        </catValu>
        <labl>
          Gwembe Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89419
        </catValu>
        <labl>
          Lake Kariba Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89420
        </catValu>
        <labl>
          Chiawa-Zambezi Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89421
        </catValu>
        <labl>
          Mambwe-Petauke Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89422
        </catValu>
        <labl>
          Mkushi Commercial Block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89423
        </catValu>
        <labl>
          Zambezi Floodplain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89424
        </catValu>
        <labl>
          Luapula Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89425
        </catValu>
        <labl>
          Luangwa-Mfuwe Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89426
        </catValu>
        <labl>
          Luapula-Northern Wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89427
        </catValu>
        <labl>
          Kaputa Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231100
        </catValu>
        <labl>
          Meketel Highland Cereal &amp; Pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231101
        </catValu>
        <labl>
          Melka Awash-Ochocha Mid-Highland Wheat &amp; Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231102
        </catValu>
        <labl>
          Mendi-Dabisu Maize, Sesame &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231103
        </catValu>
        <labl>
          Mereb Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231104
        </catValu>
        <labl>
          Merhabete Lowland Sorghum and teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231105
        </catValu>
        <labl>
          Middle Tekeze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231106
        </catValu>
        <labl>
          Midland Teff &amp; Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231107
        </catValu>
        <labl>
          Minjar teff and livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231108
        </catValu>
        <labl>
          Minjar teff and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231109
        </catValu>
        <labl>
          Moyale Agro-Pastoral, Labour &amp; Cross-Border Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231110
        </catValu>
        <labl>
          Moyale Cattle, Shoats &amp; Camel Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231111
        </catValu>
        <labl>
          Moyale-Wayamo Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231112
        </catValu>
        <labl>
          Muger-Abay-Jema Sorghum &amp; Teff Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231113
        </catValu>
        <labl>
          N Highland wheat, Barley &amp; Sheep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231114
        </catValu>
        <labl>
          Nadda-Gilgel Gibe Maize, Teff and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231115
        </catValu>
        <labl>
          Namalefan &amp; Baadu Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231116
        </catValu>
        <labl>
          Nejo-Dilla Teff, Finger Millet &amp; Nug
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231117
        </catValu>
        <labl>
          Nole-Meko-Diga Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231118
        </catValu>
        <labl>
          North East Woyna Dega Mixed Cereal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231119
        </catValu>
        <labl>
          North Shewa highland sheep and barley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231120
        </catValu>
        <labl>
          North Shewa Highland Wheat and Teff productive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231121
        </catValu>
        <labl>
          North Wollo East Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231122
        </catValu>
        <labl>
          North Wollo Highland Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231123
        </catValu>
        <labl>
          North-East Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231124
        </catValu>
        <labl>
          NorthWest Cash Crop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231125
        </catValu>
        <labl>
          NorthWest Sorghum Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231126
        </catValu>
        <labl>
          Omo River Flood Recession LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231127
        </catValu>
        <labl>
          Omo Valley Maize and Sorghum LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231128
        </catValu>
        <labl>
          Raya Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231129
        </catValu>
        <labl>
          Rift Valley Maize &amp; Horse Bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231130
        </catValu>
        <labl>
          Robe Chole Sude &amp; Seru Teff Maize Haricot Bean Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231131
        </catValu>
        <labl>
          Salamago Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231132
        </catValu>
        <labl>
          Selale-Ambo Highland Barley, Wheat and Horsebean belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231133
        </catValu>
        <labl>
          Shabelle Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231134
        </catValu>
        <labl>
          Sheka Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231135
        </catValu>
        <labl>
          Shinile Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231136
        </catValu>
        <labl>
          Shinile Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231137
        </catValu>
        <labl>
          Shirka Ticho Spice &amp; Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231138
        </catValu>
        <labl>
          Sidama Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231139
        </catValu>
        <labl>
          Sidama Maize Belt LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231140
        </catValu>
        <labl>
          Sidama-Gedeo Highland Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231141
        </catValu>
        <labl>
          Siraro Kofele Potato &amp; Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231142
        </catValu>
        <labl>
          Soddo Highland Wheat, Barley &amp; Enset
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231143
        </catValu>
        <labl>
          Sorghum, Maize &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231144
        </catValu>
        <labl>
          South East Woyna Dega Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231145
        </catValu>
        <labl>
          South Omo Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231146
        </catValu>
        <labl>
          South Omo Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231147
        </catValu>
        <labl>
          South West Maize, Finger Millet and Teff productive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231148
        </catValu>
        <labl>
          South West Woyna Dega wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231149
        </catValu>
        <labl>
          South Wollo &amp; Oromia Eastern lowland sorghum &amp; cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231150
        </catValu>
        <labl>
          South Wollo Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231151
        </catValu>
        <labl>
          South Wollo Meher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231152
        </catValu>
        <labl>
          South Wollo Meher and Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231153
        </catValu>
        <labl>
          Southern Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231154
        </catValu>
        <labl>
          Southern Agro-Pastoral Livelihood Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231155
        </catValu>
        <labl>
          Southern Cereal, Enset and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231156
        </catValu>
        <labl>
          Southern Special Woredas Lowland Cereal LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231157
        </catValu>
        <labl>
          Surma Agro-Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231158
        </catValu>
        <labl>
          Tana Zuria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231159
        </catValu>
        <labl>
          Tekeze Lowland Sorghum and Goats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231160
        </catValu>
        <labl>
          Teru Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231161
        </catValu>
        <labl>
          Tsirare Catchment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231162
        </catValu>
        <labl>
          Wellega Coffee, Maize &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231163
        </catValu>
        <labl>
          Wellega-Dedo Highland Wheat &amp; Barley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231164
        </catValu>
        <labl>
          Werie Catchment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231165
        </catValu>
        <labl>
          West Central Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231166
        </catValu>
        <labl>
          Western Cereal and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231167
        </catValu>
        <labl>
          Western Coffee and Spices LZ - Eastern sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231168
        </catValu>
        <labl>
          Western Coffee and Spices LZ - Western sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231169
        </catValu>
        <labl>
          Western Dry Kolla Sorghum, Maize &amp; Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231170
        </catValu>
        <labl>
          Western Forest Products LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231171
        </catValu>
        <labl>
          Wheat, Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231172
        </catValu>
        <labl>
          Wolayita Barley and Wheat LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231173
        </catValu>
        <labl>
          Wolayita Ginger and Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231174
        </catValu>
        <labl>
          Wolayita Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231175
        </catValu>
        <labl>
          Wuchale-Abichu-Kembebit Livestock, 'Wild Oats' &amp; Barley/Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231176
        </catValu>
        <labl>
          Yem Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231999
        </catValu>
        <labl>
          No Data
        </labl>
      </catgry>
      <catgry>
        <catValu>
          562999
        </catValu>
        <labl>
          Not Zoned (Desert)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834999
        </catValu>
        <labl>
          Not Zoned
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1319" name="W_CROPLAND" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Proportion of land area used for agriculture
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CROPLAND reports the proportion of land that is planted in crops, for a 10 kilometer circular buffer around each DHS cluster location. The statistics reported in CROPLAND are based on agricultural censuses and remotely sensed imagery circa 2000. CROPLAND is available for every IPUMS-DHS sample with GPS data. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: CROPLAND [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1320" name="W_PASTURELAND" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Proportion of land area used for pastureland
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PASTURELAND reports the proportion of land that is used as pasture, for a 10 kilometer circular buffer around each DHS cluster location. The pasture area statistics reported in PASTURELAND are based on agricultural censuses and remotely sensed imagery circa 2000. PASTURELAND is available for every IPUMS-DHS sample with GPS data. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: PASTURELAND [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1321" name="W_NDVI" files="F1" dcml="0" intrvl="contin">
      <labl>
        NDVI monthly time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI consists of a set of 72 variables. These variables report the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. NDVI values range from 0 to 1. 
By adding NDVI to your data cart, you are in effect adding 72 separate variables:

The 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., NDVI_01 is the maximum NDVI in the month before the survey start date; NDVI_60 is the maximum NDVI in the 60th month before the survey start date).
The month of the survey start date (NDVI_00)
The 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., NDVI_A01 is the maximum NDVI in the month following the month of the survey start date).
 

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        NDVI variables are numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1322" name="W_NDVI_60" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 60 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1323" name="W_NDVI_59" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 59 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1324" name="W_NDVI_58" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 58 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1325" name="W_NDVI_57" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 57 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1326" name="W_NDVI_56" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 56 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1327" name="W_NDVI_55" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 55 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1328" name="W_NDVI_54" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 54 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1329" name="W_NDVI_53" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 53 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1330" name="W_NDVI_52" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 52 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1331" name="W_NDVI_51" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 51 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1332" name="W_NDVI_50" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 50 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1333" name="W_NDVI_49" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 49 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1334" name="W_NDVI_48" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 48 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1335" name="W_NDVI_47" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 47 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1336" name="W_NDVI_46" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 46 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1337" name="W_NDVI_45" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 45 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1338" name="W_NDVI_44" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 44 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1339" name="W_NDVI_43" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 43 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1340" name="W_NDVI_42" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 42 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1341" name="W_NDVI_41" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 41 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1342" name="W_NDVI_40" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 40 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1343" name="W_NDVI_39" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 39 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1344" name="W_NDVI_38" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 38 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1345" name="W_NDVI_37" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 37 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1346" name="W_NDVI_36" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 36 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1347" name="W_NDVI_35" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 35 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1348" name="W_NDVI_34" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 34 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1349" name="W_NDVI_33" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 33 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1350" name="W_NDVI_32" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 32 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1351" name="W_NDVI_31" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 31 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1352" name="W_NDVI_30" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 30 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1353" name="W_NDVI_29" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 29 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1354" name="W_NDVI_28" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 28 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1355" name="W_NDVI_27" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 27 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1356" name="W_NDVI_26" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 26 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1357" name="W_NDVI_25" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 25 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1358" name="W_NDVI_24" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 24 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1359" name="W_NDVI_23" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 23 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1360" name="W_NDVI_22" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 22 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1361" name="W_NDVI_21" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 21 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1362" name="W_NDVI_20" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 20 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1363" name="W_NDVI_19" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 19 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1364" name="W_NDVI_18" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 18 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1365" name="W_NDVI_17" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 17 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1366" name="W_NDVI_16" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 16 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1367" name="W_NDVI_15" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 15 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1368" name="W_NDVI_14" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 14 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1369" name="W_NDVI_13" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 13 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1370" name="W_NDVI_12" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 12 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1371" name="W_NDVI_11" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 11 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1372" name="W_NDVI_10" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 10 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1373" name="W_NDVI_09" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 9 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1374" name="W_NDVI_08" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 8 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1375" name="W_NDVI_07" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 7 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1376" name="W_NDVI_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 6 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1377" name="W_NDVI_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 5 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1378" name="W_NDVI_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 4 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1379" name="W_NDVI_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 3 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1380" name="W_NDVI_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 2 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1381" name="W_NDVI_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 1 month before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1382" name="W_NDVI_00" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI month of survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1383" name="W_NDVI_A01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 1 month after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1384" name="W_NDVI_A02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 2 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1385" name="W_NDVI_A03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 3 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1386" name="W_NDVI_A04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 4 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1387" name="W_NDVI_A05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 5 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1388" name="W_NDVI_A06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 6 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1389" name="W_NDVI_A07" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 7 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1390" name="W_NDVI_A08" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 8 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1391" name="W_NDVI_A09" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 9 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1392" name="W_NDVI_A10" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 10 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1393" name="W_NDVI_A11" files="F1" dcml="0" intrvl="discrete">
      <labl>
        NDVI 11 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1394" name="W_NDVI_AVG" files="F1" dcml="0" intrvl="contin">
      <labl>
        Average monthly NDVI (January - December)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_AVG consists of a set of 12 variables. These variables report the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster during each calendar month (January through December), averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. NDVI values range from 0 to 1. 
By adding NDVI_AVG to your data cart, you are in effect adding 12 separate variables (NDVI_JAN - NDVI_DEC), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        NDVI_AVG variables are numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1395" name="W_NDVI_JAN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average January NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JAN reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during January, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1396" name="W_NDVI_FEB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average February NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_FEB reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during February, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1397" name="W_NDVI_MAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average March NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_MAR reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during March, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1398" name="W_NDVI_APR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average April NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_APR reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during April, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1399" name="W_NDVI_MAY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average May NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_MAY reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during May, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1400" name="W_NDVI_JUN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average June NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JUN reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during June, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1401" name="W_NDVI_JUL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average July NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JUL reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during July, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1402" name="W_NDVI_AUG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average August NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_AUG reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during August, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1403" name="W_NDVI_SEP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average September NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_SEP reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during September, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1404" name="W_NDVI_OCT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average October NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_OCT reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during October, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1405" name="W_NDVI_NOV" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average November NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_NOV reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during November, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1406" name="W_NDVI_DEC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average December NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_DEC reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during December, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1407" name="W_PRECIP" files="F1" dcml="0" intrvl="contin">
      <labl>
        Precipitation monthly time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP consists of a set of 72 separate variables. These variables report the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. 
 
By adding PRECIP to your data cart, you are in effect adding 72 separate variables:

The 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., PRECIP_01 is the average precipitation in the month before the survey start date; PRECIP_60 is the average precipitation in the 60th month before the survey start date).
The month of the survey start date (PRECIP_00)
The 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., PRECIP_A01 is the average precipitation in the month following the month of the survey start date).
 

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        PRECIP variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1408" name="W_PRECIP_60" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 60 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1409" name="W_PRECIP_59" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 59 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1410" name="W_PRECIP_58" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 58 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1411" name="W_PRECIP_57" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 57 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1412" name="W_PRECIP_56" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 56 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1413" name="W_PRECIP_55" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 55 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1414" name="W_PRECIP_54" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 54 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1415" name="W_PRECIP_53" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 53 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1416" name="W_PRECIP_52" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 52 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1417" name="W_PRECIP_51" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 51 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1418" name="W_PRECIP_50" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 50 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1419" name="W_PRECIP_49" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 49 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1420" name="W_PRECIP_48" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 48 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1421" name="W_PRECIP_47" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 47 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1422" name="W_PRECIP_46" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 46 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1423" name="W_PRECIP_45" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 45 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1424" name="W_PRECIP_44" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 44 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1425" name="W_PRECIP_43" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 43 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1426" name="W_PRECIP_42" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 42 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1427" name="W_PRECIP_41" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 41 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1428" name="W_PRECIP_40" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 40 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1429" name="W_PRECIP_39" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 39 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1430" name="W_PRECIP_38" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 38 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1431" name="W_PRECIP_37" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 37 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1432" name="W_PRECIP_36" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 36 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1433" name="W_PRECIP_35" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 35 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1434" name="W_PRECIP_34" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 34 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1435" name="W_PRECIP_33" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 33 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1436" name="W_PRECIP_32" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 32 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1437" name="W_PRECIP_31" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 31 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1438" name="W_PRECIP_30" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 30 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1439" name="W_PRECIP_29" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 29 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1440" name="W_PRECIP_28" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 28 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1441" name="W_PRECIP_27" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 27 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1442" name="W_PRECIP_26" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 26 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1443" name="W_PRECIP_25" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 25 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1444" name="W_PRECIP_24" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 24 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1445" name="W_PRECIP_23" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 23 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1446" name="W_PRECIP_22" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 22 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1447" name="W_PRECIP_21" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 21 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1448" name="W_PRECIP_20" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 20 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1449" name="W_PRECIP_19" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 19 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1450" name="W_PRECIP_18" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 18 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1451" name="W_PRECIP_17" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 17 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1452" name="W_PRECIP_16" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 16 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1453" name="W_PRECIP_15" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 15 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1454" name="W_PRECIP_14" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 14 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1455" name="W_PRECIP_13" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 13 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1456" name="W_PRECIP_12" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 12 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1457" name="W_PRECIP_11" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 11 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1458" name="W_PRECIP_10" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 10 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1459" name="W_PRECIP_09" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 9 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1460" name="W_PRECIP_08" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 8 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1461" name="W_PRECIP_07" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 7 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1462" name="W_PRECIP_06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 6 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1463" name="W_PRECIP_05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 5 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1464" name="W_PRECIP_04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 4 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1465" name="W_PRECIP_03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 3 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1466" name="W_PRECIP_02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 2 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1467" name="W_PRECIP_01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 1 month before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1468" name="W_PRECIP_00" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation month of survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1469" name="W_PRECIP_A01" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 1 month after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1470" name="W_PRECIP_A02" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 2 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1471" name="W_PRECIP_A03" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 3 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1472" name="W_PRECIP_A04" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 4 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1473" name="W_PRECIP_A05" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 5 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1474" name="W_PRECIP_A06" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 6 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1475" name="W_PRECIP_A07" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 7 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1476" name="W_PRECIP_A08" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 8 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1477" name="W_PRECIP_A09" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 9 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1478" name="W_PRECIP_A10" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 10 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1479" name="W_PRECIP_A11" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 11 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1480" name="W_PRECIP_AVG" files="F1" dcml="0" intrvl="contin">
      <labl>
        Average monthly precipitation (January - December)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_AVG consists of a set of 12 separate variables. These variables report the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location, during each calendar month (January through December), averaged over the 1981-2016 timeframe.

By adding PRECIP_AVG to your data cart, you are in effect adding 12 separate variables (PRECIP_JAN - PRECIP_DEC), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        PRECIP_AVG variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1481" name="W_PRECIP_JAN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average January precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JAN reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during January, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1482" name="W_PRECIP_FEB" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average February precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_FEB reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during February, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1483" name="W_PRECIP_MAR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average March precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_MAR reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during March, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1484" name="W_PRECIP_APR" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average April precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_APR reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during April, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1485" name="W_PRECIP_MAY" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average May precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_MAY reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during May, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1486" name="W_PRECIP_JUN" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average June precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JUN reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during June, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1487" name="W_PRECIP_JUL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average July precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JUL reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during July, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1488" name="W_PRECIP_AUG" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average August precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_AUG reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during August, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1489" name="W_PRECIP_SEP" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average September precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_SEP reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during September, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1490" name="W_PRECIP_OCT" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average October precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_OCT reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during October, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1491" name="W_PRECIP_NOV" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average November precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_NOV reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during November, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1492" name="W_PRECIP_DEC" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average December precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_DEC reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during December, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1493" name="W_PRECIP_ANNUAL" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Average Annual precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_ANNUAL reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location annually, averaged over the 1981-2016 timeframe. 

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1494" name="W_POPDENSITY" files="F1" dcml="0" intrvl="contin">
      <labl>
        Population density quinquennial time-series (2000-2020)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY consists of a set of 5 variables. These variables report the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000, 2005, 2010, 2015, and 2020. POPDENSITY variables are available for every IPUMS-DHS sample with GPS data. POPDENSITY variables can be used as indicators of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY are based on population projections from the results of the 2000 and 2010 rounds of censuses.
 
By adding POPDENSITY to your data cart, you are in effect adding 5 separate variables (POPDENSITY_2000 - POPDENSITY_2020), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <codInstr>
        POPDENSITY variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1495" name="W_POPDENSITY_2000" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Population density 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2000 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2000 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2000 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2000  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1496" name="W_POPDENSITY_2005" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Population density 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2005 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2005. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2005 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2005 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2005  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1497" name="W_POPDENSITY_2010" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Population density 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2010 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2010. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2010 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2010 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2010  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1498" name="W_POPDENSITY_2015" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Population density 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2015 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2015. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2015 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2015 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2015  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1499" name="W_POPDENSITY_2020" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Population density 2020
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2020 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2020. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2020 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2020 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY_2020 are based on population projections from the results of the 2010 round of censuses, which occurred between 2005 and 2014.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2020  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1500" name="W_BATTLES" files="F1" dcml="0" intrvl="contin">
      <labl>
        Battles annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BATTLES consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of battles within a 10 kilometer circular buffer around each DHS cluster location, by year. BATTLES data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding BATTLES to your data cart, you are in effect adding 20 separate variables (BATTLES_1997 - BATTLES_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        BATTLES variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1501" name="W_BATTLES_1997" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1502" name="W_BATTLES_1998" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1503" name="W_BATTLES_1999" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1504" name="W_BATTLES_2000" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1505" name="W_BATTLES_2001" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1506" name="W_BATTLES_2002" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1507" name="W_BATTLES_2003" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1508" name="W_BATTLES_2004" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1509" name="W_BATTLES_2005" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1510" name="W_BATTLES_2006" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1511" name="W_BATTLES_2007" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1512" name="W_BATTLES_2008" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1513" name="W_BATTLES_2009" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1514" name="W_BATTLES_2010" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1515" name="W_BATTLES_2011" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1516" name="W_BATTLES_2012" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1517" name="W_BATTLES_2013" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1518" name="W_BATTLES_2014" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1519" name="W_BATTLES_2015" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1520" name="W_BATTLES_2016" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1521" name="W_RIOTS" files="F1" dcml="0" intrvl="contin">
      <labl>
        Riots annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RIOTS consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of riots or protests within a 10 kilometer circular buffer around each DHS cluster location, by year. RIOTS data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding RIOTS to your data cart, you are in effect adding 20 separate variables (RIOTS_1997 - RIOTS_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        RIOTS variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1522" name="W_RIOTS_1997" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1523" name="W_RIOTS_1998" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1524" name="W_RIOTS_1999" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1525" name="W_RIOTS_2000" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1526" name="W_RIOTS_2001" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1527" name="W_RIOTS_2002" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1528" name="W_RIOTS_2003" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1529" name="W_RIOTS_2004" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1530" name="W_RIOTS_2005" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1531" name="W_RIOTS_2006" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1532" name="W_RIOTS_2007" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1533" name="W_RIOTS_2008" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1534" name="W_RIOTS_2009" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1535" name="W_RIOTS_2010" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1536" name="W_RIOTS_2011" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1537" name="W_RIOTS_2012" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1538" name="W_RIOTS_2013" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1539" name="W_RIOTS_2014" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1540" name="W_RIOTS_2015" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1541" name="W_RIOTS_2016" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1542" name="W_CIV_VIOLENCE" files="F1" dcml="0" intrvl="contin">
      <labl>
        Violence against civilians annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CIV_VIOLENCE consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of acts of violence against civilians by an armed or violent group within a 10 kilometer circular buffer around each DHS cluster location, by year. CIV_VIOLENCE data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding CIV_VIOLENCE to your data cart, you are in effect adding 20 separate variables (CIV_VIOLENCE_1997 - CIV_VIOLENCE_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        CIV_VIOLENCE variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1543" name="W_CIV_VIOLENCE_1997" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1544" name="W_CIV_VIOLENCE_1998" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1545" name="W_CIV_VIOLENCE_1999" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1546" name="W_CIV_VIOLENCE_2000" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1547" name="W_CIV_VIOLENCE_2001" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1548" name="W_CIV_VIOLENCE_2002" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1549" name="W_CIV_VIOLENCE_2003" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1550" name="W_CIV_VIOLENCE_2004" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1551" name="W_CIV_VIOLENCE_2005" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1552" name="W_CIV_VIOLENCE_2006" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1553" name="W_CIV_VIOLENCE_2007" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1554" name="W_CIV_VIOLENCE_2008" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1555" name="W_CIV_VIOLENCE_2009" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1556" name="W_CIV_VIOLENCE_2010" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1557" name="W_CIV_VIOLENCE_2011" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1558" name="W_CIV_VIOLENCE_2012" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1559" name="W_CIV_VIOLENCE_2013" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1560" name="W_CIV_VIOLENCE_2014" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1561" name="W_CIV_VIOLENCE_2015" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1562" name="W_CIV_VIOLENCE_2016" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1563" name="W_MALARIA" files="F1" dcml="0" intrvl="contin">
      <labl>
        Malaria incidence rate annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MALARIA consists of a set of 16 separate variables, covering each year from 2000 to 2015. The variables report the mean clinical Plasmodium falciparium malaria cases per person within a 10 kilometer circular buffer around each DHS cluster location, by year. MALARIA is available for a subset of the IPUMS-DHS samples with GPS data. 
 
By adding MALARIA to your data cart, you are in effect adding 16 separate variables (MALARIA_2000 - MALARIA_2015), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Malaria  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        MALARIA variables are 4-digit numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1564" name="W_MALARIA_2000" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1565" name="W_MALARIA_2001" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1566" name="W_MALARIA_2002" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1567" name="W_MALARIA_2003" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1568" name="W_MALARIA_2004" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1569" name="W_MALARIA_2005" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1570" name="W_MALARIA_2006" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1571" name="W_MALARIA_2007" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1572" name="W_MALARIA_2008" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1573" name="W_MALARIA_2009" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1574" name="W_MALARIA_2010" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1575" name="W_MALARIA_2011" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1576" name="W_MALARIA_2012" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1577" name="W_MALARIA_2013" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1578" name="W_MALARIA_2014" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1579" name="W_MALARIA_2015" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1580" name="W_BARLEY_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area barley
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BARLEY_H reports total harvested area dedicated to barley, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in BARLEY_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1581" name="W_CASSAVA_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area cassava
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CASSAVA_H reports total harvested area dedicated to cassava, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in CASSAVA_H are based on agricultural censuses and remotely sensed imagery circa 2000. CASSAVA_H is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1582" name="W_COTTON_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area cotton
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COTTON_H reports total harvested area dedicated to cotton, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in COTTON_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1583" name="W_GROUNDNUT_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area groundnut
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GROUNDNUTS_H reports total harvested area dedicated to groundnuts, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in GROUNDNUTS_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1584" name="W_MAIZE_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area maize
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAIZE_H reports total harvested area dedicated to maize, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in MAIZE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1585" name="W_MILLET_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area millet
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MILLET_H reports total harvested area dedicated to millet, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in MILLET_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1586" name="W_OILPALM_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area oilpalm
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OILPALM_H reports total harvested area dedicated to oil palm, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in OILPALM_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1587" name="W_POTATO_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area potato
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POTATO_H reports total harvested area dedicated to potatoes, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in POTATO_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1588" name="W_RAPESEED_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rapeseed
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RAPESEED_H reports total harvested area dedicated to rapeseed, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RAPESEED_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1589" name="W_RICE_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rice
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RICE_H reports total harvested area dedicated to rice, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RICE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1590" name="W_SORGHUM_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sorghum
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SORGHUM_H reports total harvested area dedicated to sorghum, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SORGHUM_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1591" name="W_SOYBEAN_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area soybean
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOYBEANS_H reports total harvested area dedicated to soybeans, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SOYBEANS_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1592" name="W_SUGARBEET_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sugarbeet
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARBEET_H reports total harvested area dedicated to sugar beets, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARBEET_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1593" name="W_SUGARCANE_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sugarcane
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARCANE_H reports total harvested area dedicated to sugar cane, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARCANE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1594" name="W_SUNFLOWER_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sunflower
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUNFLOWER_H reports total harvested area dedicated to sunflowers, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUNFLOWER_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1595" name="W_WHEAT_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area wheat
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHEAT_H reports total harvested area dedicated to wheat, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in WHEAT_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1596" name="W_RYE_H" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rye
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RYE_H reports total harvested area dedicated to rye, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RYE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1597" name="W_BARLEY_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total barley production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BARLEY_P reports total crop production of barley, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in BARLEY_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1598" name="W_CASSAVA_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total cassava production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CASSAVA_P reports total crop production of cassava, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in CASSAVA_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1599" name="W_COTTON_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total cotton production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COTTON_P reports total crop production of cotton, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in COTTON_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1600" name="W_GROUNDNUT_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total groundnut production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GROUNDNUTS_P reports total crop production of groundnuts, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in GROUNDNUTS_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1601" name="W_MAIZE_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total maize production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAIZE_P reports total crop production of maize, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MAIZE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1602" name="W_MILLET_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total millet production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MILLET_P reports total crop production of millet, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MILLET_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1603" name="W_OILPALM_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total oilpalm production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OILPALM_P reports total crop production of oil palm, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in OILPALM_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1604" name="W_POTATO_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total potato production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POTATO_P reports total crop production of potatoes, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in POTATO_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1605" name="W_RAPESEED_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total rapeseed production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RAPESEED_P reports total crop production of rapeseed, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RAPESEED_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1606" name="W_RICE_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total rice production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RICE_P reports total crop production of rice, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RICE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1607" name="W_SORGHUM_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total sorghum production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SORGHUM_P reports total crop production of sorghum, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SORGHUM_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1608" name="W_SOYBEAN_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total soybean production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOYBEAN_P reports total crop production of soybeans, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SOYBEAN_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1609" name="W_SUGARBEET_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total sugarbeet production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARBEET_P reports total crop production of sugar beets, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARBEET_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1610" name="W_SUGARCANE_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total sugarcane production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARCANE_P reports total crop production of sugarcane, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARCANE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1611" name="W_SUNFLOWER_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total sunflower production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUNFLOWER_P reports total crop production of sunflowers, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUNFLOWER_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1612" name="W_WHEAT_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total wheat production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHEAT_P reports total crop production of wheat, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in WHEAT_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1613" name="W_RYE_P" files="F1" dcml="0" intrvl="discrete">
      <labl>
        Total rye production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RYE_P reports total crop production of rye, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RYE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1614" name="C_SAMPLE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        IPUMS-DHS sample identifier
      </labl>
      <valrng>
        <range UNITS="REAL" min="11" max="8945"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SAMPLE identifies the DHS sample from which the case is drawn.  Each sample receives a unique 4-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last digit identifies the sample within the country, ordered by survey year.

The related variable SAMPLESTR is a string variable that identifies the DHS sample with the same 4-digit code.]]>
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Model 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Afghanistan 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Bangladesh 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Bangladesh 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Bangladesh 1999-00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Bangladesh 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Bangladesh 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          Bangladesh 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          Bangladesh 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1041
        </catValu>
        <labl>
          Myanmar 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1081
        </catValu>
        <labl>
          Burundi 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1082
        </catValu>
        <labl>
          Burundi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1161
        </catValu>
        <labl>
          Cambodia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1162
        </catValu>
        <labl>
          Cambodia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1163
        </catValu>
        <labl>
          Cambodia 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1164
        </catValu>
        <labl>
          Cambodia 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Cameroon 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Cameroon 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Cameroon 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Cameroon 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1481
        </catValu>
        <labl>
          Chad 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1482
        </catValu>
        <labl>
          Chad 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1483
        </catValu>
        <labl>
          Chad 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Congo Democratic Republic 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Congo Democratic Republic 2013-14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2041
        </catValu>
        <labl>
          Benin 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2042
        </catValu>
        <labl>
          Benin 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2043
        </catValu>
        <labl>
          Benin 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2044
        </catValu>
        <labl>
          Benin 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Ethiopia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Ethiopia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Ethiopia 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Ethiopia 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2881
        </catValu>
        <labl>
          Ghana 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2882
        </catValu>
        <labl>
          Ghana 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2883
        </catValu>
        <labl>
          Ghana 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2884
        </catValu>
        <labl>
          Ghana 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2885
        </catValu>
        <labl>
          Ghana 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2886
        </catValu>
        <labl>
          Ghana 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Guatemala 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Guatemala 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Guatemala 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3241
        </catValu>
        <labl>
          Guinea 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Guinea 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3243
        </catValu>
        <labl>
          Guinea 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3561
        </catValu>
        <labl>
          India 1992-93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3562
        </catValu>
        <labl>
          India 1998-99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3563
        </catValu>
        <labl>
          India 2005-06
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3564
        </catValu>
        <labl>
          India 2015-16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3841
        </catValu>
        <labl>
          Cote d'Ivoire 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3842
        </catValu>
        <labl>
          Cote d'Ivoire 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3843
        </catValu>
        <labl>
          Cote d'Ivoire 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4041
        </catValu>
        <labl>
          Kenya 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4042
        </catValu>
        <labl>
          Kenya 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <labl>
          Kenya 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4044
        </catValu>
        <labl>
          Kenya 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4045
        </catValu>
        <labl>
          Kenya 2008-9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4046
        </catValu>
        <labl>
          Kenya 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4261
        </catValu>
        <labl>
          Lesotho 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4262
        </catValu>
        <labl>
          Lesotho 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4263
        </catValu>
        <labl>
          Lesotho 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Madagascar 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          Madagascar 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Madagascar 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Madagascar 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4541
        </catValu>
        <labl>
          Malawi 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4542
        </catValu>
        <labl>
          Malawi 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4543
        </catValu>
        <labl>
          Malawi 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4544
        </catValu>
        <labl>
          Malawi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4545
        </catValu>
        <labl>
          Malawi 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4661
        </catValu>
        <labl>
          Mali 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4662
        </catValu>
        <labl>
          Mali 1995-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4663
        </catValu>
        <labl>
          Mali 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4664
        </catValu>
        <labl>
          Mali 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4665
        </catValu>
        <labl>
          Mali 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5041
        </catValu>
        <labl>
          Morocco 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5042
        </catValu>
        <labl>
          Morocco 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5043
        </catValu>
        <labl>
          Morocco 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5081
        </catValu>
        <labl>
          Mozambique 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5082
        </catValu>
        <labl>
          Mozambique 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5083
        </catValu>
        <labl>
          Mozambique 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5161
        </catValu>
        <labl>
          Namibia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5162
        </catValu>
        <labl>
          Namibia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5163
        </catValu>
        <labl>
          Namibia 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5164
        </catValu>
        <labl>
          Namibia 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5241
        </catValu>
        <labl>
          Nepal 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5242
        </catValu>
        <labl>
          Nepal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5243
        </catValu>
        <labl>
          Nepal 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5244
        </catValu>
        <labl>
          Nepal 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5621
        </catValu>
        <labl>
          Niger 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5622
        </catValu>
        <labl>
          Niger 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5623
        </catValu>
        <labl>
          Niger 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5624
        </catValu>
        <labl>
          Niger 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5661
        </catValu>
        <labl>
          Nigeria 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5662
        </catValu>
        <labl>
          Nigeria 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5663
        </catValu>
        <labl>
          Nigeria 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5664
        </catValu>
        <labl>
          Nigeria 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5665
        </catValu>
        <labl>
          Nigeria 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5861
        </catValu>
        <labl>
          Pakistan 1990-91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5862
        </catValu>
        <labl>
          Pakistan 2006-07
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5863
        </catValu>
        <labl>
          Pakistan 2012-13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6041
        </catValu>
        <labl>
          Peru 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6042
        </catValu>
        <labl>
          Peru 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6043
        </catValu>
        <labl>
          Peru 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6044
        </catValu>
        <labl>
          Peru 2004-08
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6045
        </catValu>
        <labl>
          Peru 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6046
        </catValu>
        <labl>
          Peru 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6047
        </catValu>
        <labl>
          Peru 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6461
        </catValu>
        <labl>
          Rwanda 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6462
        </catValu>
        <labl>
          Rwanda 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6463
        </catValu>
        <labl>
          Rwanda 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6464
        </catValu>
        <labl>
          Rwanda 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6465
        </catValu>
        <labl>
          Rwanda 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6861
        </catValu>
        <labl>
          Senegal 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6862
        </catValu>
        <labl>
          Senegal 1992-93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6863
        </catValu>
        <labl>
          Senegal 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6864
        </catValu>
        <labl>
          Senegal 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6865
        </catValu>
        <labl>
          Senegal 2010-11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6866
        </catValu>
        <labl>
          Senegal 2012-13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6867
        </catValu>
        <labl>
          Senegal 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6868
        </catValu>
        <labl>
          Senegal 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6869
        </catValu>
        <labl>
          Senegal 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7101
        </catValu>
        <labl>
          South Africa 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Zimbabwe 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Zimbabwe 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Zimbabwe 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Zimbabwe 2005-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Zimbabwe 2010-11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Zimbabwe 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7291
        </catValu>
        <labl>
          Sudan 1989-90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7881
        </catValu>
        <labl>
          Tunisia 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7921
        </catValu>
        <labl>
          Turkey 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7922
        </catValu>
        <labl>
          Turkey 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7923
        </catValu>
        <labl>
          Turkey 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          Uganda 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Uganda 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8003
        </catValu>
        <labl>
          Uganda 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8004
        </catValu>
        <labl>
          Uganda 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8005
        </catValu>
        <labl>
          Uganda 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8006
        </catValu>
        <labl>
          Uganda 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8181
        </catValu>
        <labl>
          Egypt 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8182
        </catValu>
        <labl>
          Egypt 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8183
        </catValu>
        <labl>
          Egypt 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8184
        </catValu>
        <labl>
          Egypt 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8185
        </catValu>
        <labl>
          Egypt 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8186
        </catValu>
        <labl>
          Egypt 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8187
        </catValu>
        <labl>
          Egypt 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8341
        </catValu>
        <labl>
          Tanzania 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8342
        </catValu>
        <labl>
          Tanzania 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8343
        </catValu>
        <labl>
          Tanzania 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8344
        </catValu>
        <labl>
          Tanzania 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8345
        </catValu>
        <labl>
          Tanzania 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8346
        </catValu>
        <labl>
          Tanzania 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8541
        </catValu>
        <labl>
          Burkina Faso 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8542
        </catValu>
        <labl>
          Burkina Faso 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8543
        </catValu>
        <labl>
          Burkina Faso 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8544
        </catValu>
        <labl>
          Burkina Faso 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8871
        </catValu>
        <labl>
          Yemen 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8872
        </catValu>
        <labl>
          Yemen 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8941
        </catValu>
        <labl>
          Zambia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8942
        </catValu>
        <labl>
          Zambia 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8943
        </catValu>
        <labl>
          Zambia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8944
        </catValu>
        <labl>
          Zambia 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8945
        </catValu>
        <labl>
          Zambia 2013
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1615" name="C_SAMPLESTR" files="F2" intrvl="discrete">
      <location width="8"/>
      <labl>
        IPUMS-DHS sample identifier (string)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SAMPLESTR is a string variable that identifies the DHS sample from which the case is drawn.  Each sample receives a unique 4-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last digit identifies the sample within the country, ordered by survey year.

The related variable SAMPLE is a numeric variable that identifies the DHS sample with the same 4-digit code.]]>
      </txt>
      <catgry>
        <catValu>
          0011
        </catValu>
        <labl>
          Model 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0041
        </catValu>
        <labl>
          Afghanistan 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0501
        </catValu>
        <labl>
          Bangladesh 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0502
        </catValu>
        <labl>
          Bangladesh 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0503
        </catValu>
        <labl>
          Bangladesh 1999-00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0504
        </catValu>
        <labl>
          Bangladesh 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0505
        </catValu>
        <labl>
          Bangladesh 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0506
        </catValu>
        <labl>
          Bangladesh 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0507
        </catValu>
        <labl>
          Bangladesh 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1041
        </catValu>
        <labl>
          Myanmar 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1081
        </catValu>
        <labl>
          Burundi 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1082
        </catValu>
        <labl>
          Burundi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1161
        </catValu>
        <labl>
          Cambodia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1162
        </catValu>
        <labl>
          Cambodia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1163
        </catValu>
        <labl>
          Cambodia 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1164
        </catValu>
        <labl>
          Cambodia 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Cameroon 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Cameroon 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Cameroon 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Cameroon 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1481
        </catValu>
        <labl>
          Chad 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1482
        </catValu>
        <labl>
          Chad 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1483
        </catValu>
        <labl>
          Chad 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Congo Democratic Republic 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Congo Democratic Republic 2013-14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2041
        </catValu>
        <labl>
          Benin 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2042
        </catValu>
        <labl>
          Benin 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2043
        </catValu>
        <labl>
          Benin 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2044
        </catValu>
        <labl>
          Benin 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Ethiopia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Ethiopia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Ethiopia 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Ethiopia 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2881
        </catValu>
        <labl>
          Ghana 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2882
        </catValu>
        <labl>
          Ghana 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2883
        </catValu>
        <labl>
          Ghana 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2884
        </catValu>
        <labl>
          Ghana 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2885
        </catValu>
        <labl>
          Ghana 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2886
        </catValu>
        <labl>
          Ghana 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Guatemala 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Guatemala 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Guatemala 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3241
        </catValu>
        <labl>
          Guinea 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Guinea 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3243
        </catValu>
        <labl>
          Guinea 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3561
        </catValu>
        <labl>
          India 1992-3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3562
        </catValu>
        <labl>
          India 1998-9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3563
        </catValu>
        <labl>
          India 2005-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3564
        </catValu>
        <labl>
          India 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3841
        </catValu>
        <labl>
          Cote d'Ivoire 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3842
        </catValu>
        <labl>
          Cote d'Ivoire 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3843
        </catValu>
        <labl>
          Cote d'Ivoire 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4041
        </catValu>
        <labl>
          Kenya 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4042
        </catValu>
        <labl>
          Kenya 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <labl>
          Kenya 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4044
        </catValu>
        <labl>
          Kenya 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4045
        </catValu>
        <labl>
          Kenya 2008-9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4046
        </catValu>
        <labl>
          Kenya 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4261
        </catValu>
        <labl>
          Lesotho 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4262
        </catValu>
        <labl>
          Lesotho 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4263
        </catValu>
        <labl>
          Lesotho 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Madagascar 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          Madagascar 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Madagascar 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Madagascar 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4541
        </catValu>
        <labl>
          Malawi 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4542
        </catValu>
        <labl>
          Malawi 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4543
        </catValu>
        <labl>
          Malawi 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4544
        </catValu>
        <labl>
          Malawi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4545
        </catValu>
        <labl>
          Malawi 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4661
        </catValu>
        <labl>
          Mali 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4662
        </catValu>
        <labl>
          Mali 1995-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4663
        </catValu>
        <labl>
          Mali 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4664
        </catValu>
        <labl>
          Mali 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4665
        </catValu>
        <labl>
          Mali 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5041
        </catValu>
        <labl>
          Morocco 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5042
        </catValu>
        <labl>
          Morocco 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5043
        </catValu>
        <labl>
          Morocco 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5081
        </catValu>
        <labl>
          Mozambique 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5082
        </catValu>
        <labl>
          Mozambique 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5083
        </catValu>
        <labl>
          Mozambique 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5161
        </catValu>
        <labl>
          Namibia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5162
        </catValu>
        <labl>
          Namibia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5163
        </catValu>
        <labl>
          Namibia 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5164
        </catValu>
        <labl>
          Namibia 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5241
        </catValu>
        <labl>
          Nepal 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5242
        </catValu>
        <labl>
          Nepal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5243
        </catValu>
        <labl>
          Nepal 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5244
        </catValu>
        <labl>
          Nepal 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5621
        </catValu>
        <labl>
          Niger 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5622
        </catValu>
        <labl>
          Niger 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5623
        </catValu>
        <labl>
          Niger 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5624
        </catValu>
        <labl>
          Niger 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5661
        </catValu>
        <labl>
          Nigeria 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5662
        </catValu>
        <labl>
          Nigeria 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5663
        </catValu>
        <labl>
          Nigeria 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5664
        </catValu>
        <labl>
          Nigeria 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5665
        </catValu>
        <labl>
          Nigeria 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5861
        </catValu>
        <labl>
          Pakistan 1990-91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5862
        </catValu>
        <labl>
          Pakistan 2006-07
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5863
        </catValu>
        <labl>
          Pakistan 2012-13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6041
        </catValu>
        <labl>
          Peru 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6042
        </catValu>
        <labl>
          Peru 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6043
        </catValu>
        <labl>
          Peru 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6044
        </catValu>
        <labl>
          Peru 2004-08
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6045
        </catValu>
        <labl>
          Peru 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6046
        </catValu>
        <labl>
          Peru 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6047
        </catValu>
        <labl>
          Peru 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6461
        </catValu>
        <labl>
          Rwanda1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6462
        </catValu>
        <labl>
          Rwanda 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6463
        </catValu>
        <labl>
          Rwanda 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6464
        </catValu>
        <labl>
          Rwanda 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6465
        </catValu>
        <labl>
          Rwanda 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6861
        </catValu>
        <labl>
          Senegal 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6862
        </catValu>
        <labl>
          Senegal 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6863
        </catValu>
        <labl>
          Senegal 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6864
        </catValu>
        <labl>
          Senegal 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6865
        </catValu>
        <labl>
          Senegal 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6866
        </catValu>
        <labl>
          Senegal 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6867
        </catValu>
        <labl>
          Senegal 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6868
        </catValu>
        <labl>
          Senegal 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6869
        </catValu>
        <labl>
          Senegal 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7101
        </catValu>
        <labl>
          South Africa 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Zimbabwe 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Zimbabwe 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Zimbabwe 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Zimbabwe 2005-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Zimbabwe 2010-11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Zimbabwe 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7291
        </catValu>
        <labl>
          Sudan 1989-90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7881
        </catValu>
        <labl>
          Tunisia 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7921
        </catValu>
        <labl>
          Turkey 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7922
        </catValu>
        <labl>
          Turkey 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7923
        </catValu>
        <labl>
          Turkey 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          Uganda 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Uganda 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8003
        </catValu>
        <labl>
          Uganda 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8004
        </catValu>
        <labl>
          Uganda 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8005
        </catValu>
        <labl>
          Uganda 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8006
        </catValu>
        <labl>
          Uganda 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8181
        </catValu>
        <labl>
          Egypt 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8182
        </catValu>
        <labl>
          Egypt 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8183
        </catValu>
        <labl>
          Egypt 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8184
        </catValu>
        <labl>
          Egypt 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8185
        </catValu>
        <labl>
          Egypt 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8186
        </catValu>
        <labl>
          Egypt 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8187
        </catValu>
        <labl>
          Egypt 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8341
        </catValu>
        <labl>
          Tanzania 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8342
        </catValu>
        <labl>
          Tanzania 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8343
        </catValu>
        <labl>
          Tanzania 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8344
        </catValu>
        <labl>
          Tanzania 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8345
        </catValu>
        <labl>
          Tanzania 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8346
        </catValu>
        <labl>
          Tanzania 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8541
        </catValu>
        <labl>
          Burkina Faso 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8542
        </catValu>
        <labl>
          Burkina Faso 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8543
        </catValu>
        <labl>
          Burkina Faso 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8544
        </catValu>
        <labl>
          Burkina Faso 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8871
        </catValu>
        <labl>
          Yemen 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8872
        </catValu>
        <labl>
          Yemen 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8941
        </catValu>
        <labl>
          Zambia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8942
        </catValu>
        <labl>
          Zambia 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8943
        </catValu>
        <labl>
          Zambia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8944
        </catValu>
        <labl>
          Zambia 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8945
        </catValu>
        <labl>
          Zambia 2013
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1616" name="C_COUNTRY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="894"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        COUNTRY reports the country where the survey was fielded. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Model
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Congo Democratic Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          Cote d'Ivoire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1617" name="C_YEAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year of sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1986" max="2016"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        YEAR reports the year when the survey was fielded, as a four-digit variable. In some cases, the DHS was conducted over the course of two years (e.g., Ethiopia 2010-2011), but YEAR always gives a single year. For full information about the timing of the surveys, please consult the IPUMS-DHS Sample Descriptions page.
      </txt>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1618" name="C_IDHSPID" files="F2" intrvl="discrete">
      <location width="8"/>
      <labl>
        Unique cross-sample respondent identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDHSPID is an identifying number unique to person in a given sample. It is a concatenation of SAMPLE and CASEID.
      </txt>
      <codInstr>
        IDHSPID is a 22-character string variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1619" name="C_DHSID" files="F2" intrvl="discrete">
      <location width="8"/>
      <labl>
        Key to link DHS clusters to context data (string)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DHSID is the 14-character DHS identification code for DHS clusters constructed from the 2-character country code, the 4-digit survey year, and the 8-digit cluster identification number. DHSID is available for every IPUMS-DHS sample and uniquely identifies clusters across samples. It serves as the unique linking key between IPUMS-DHS microdata and DHS cluster shapefiles.
      </txt>
      <codInstr>
        This is a 14-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1620" name="C_IDHSPSU" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Unique sample-case PSU identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDHSPSU is an identifying number unique to the primary sampling unit in a given sample. This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and PSU (the numbered primary sampling units within a given sample).
      </txt>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1621" name="C_IDHSSTRATA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Unique cross-sample sampling strata
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDHSSTRATA is an identifying number unique to the sampling strata in a given sample. This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and STRATA (groups of geographically similar areas, from which primary sampling units are drawn).
      </txt>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1622" name="C_CASEID" files="F2" intrvl="discrete">
      <location width="8"/>
      <labl>
        Sample-specific respondent identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CASEID is the unique identifier for each woman in a given sample year.  Using CASEID and CLUSTERNO, analysts can link IPUMS-DHS data to the original DHS datasets to attach variables that are not currently available in IPUMS-DHS.  For example, researchers can use CASEID and CLUSTERNO to link variables from the IPUMS-DHS with other variables from the Woman's Recode file to merge country-specific variables, or to the Household or Couples Recode file to attach variables that are not yet part of IPUMS-DHS. 

In most samples, users can identify women who are in the same household by using the first 12 characters of CASEID (and CLUSTERNO (V001)), as this indicates a unique household identifier.  

CASEID is generally created by The DHS Program using the variables CLUSTERNO (V001), HHNUM (V002), and LINENO (V003), with the last three characters indicating the respondent's line number in the household file.

For instructions on how to create links between IPUMS-DHS data and DHS source data, see the User Note on "Merging IDHS and DHS Data." [URL omitted from DDI.]]]>
      </txt>
      <codInstr>
        CASEID is a 18-character string variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1623" name="C_HHID" files="F2" intrvl="discrete">
      <location width="8"/>
      <labl>
        Sample-specific household identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHID is an identifying number unique to each household in a given sample.
      </txt>
      <codInstr>
        HHID is a 15-character string variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1624" name="C_PSU" files="F2" dcml="0" intrvl="contin">
      <labl>
        Sample-specific primary sampling unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PSU (V021) is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable DOMAIN (V023) to account for the impact of the sample design clustering on the variance estimates and standard errors. 

The DHS Recode Manuals for Phase 2 forward describe this variable as follows:

 Primary sampling unit is a number assigned to sample points to identify the primary sampling units for use in the calculation of sampling errors. This variable is usually the same as the cluster number and/or the ultimate area unit, but may differ if the sample design required a multistage selection process.

See the notes on DHS webpage "Using sample weights" [URL omitted from DDI.] on variance estimation for additional information.]]>
      </txt>
      <codInstr>
        PSU (V021) is a 6-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1625" name="C_STRATA" files="F2" dcml="0" intrvl="contin">
      <labl>
        Sample-specific sampling strata
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STRATA (V022) defines the pairings or groupings of primary sampling units used in the calculation of sampling errors when using the Taylor series expansion method.

In two-stage sampling, The DHS Program may first group small geographic areas, such as enumeration areas from the last census, into broad strata defined jointly by region and urban versus rural areas within a region. In the second stage of sampling, a subset of geographic areas (sample clusters) are selected as the sites for interviewing from within defined strata. 

STRATA is not the same as DOMAIN (V023). (Domains represent statistically representative areas for which valid summary statistics can be calculated for a survey, such as provinces and national urban versus rural combined areas, as described in the survey's final report.) The DHS Program recommends using STRATA along with the variable PSU (V021) to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

Users are strongly encouraged to review the FAQ section provided by The DHS Program on specifying stratification and clustering here [URL omitted from DDI.], using Stata or SPSS to account for sample design.]]>
      </txt>
      <codInstr>
        STRATA (V022) is a 5-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1626" name="C_DOMAIN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sample-specific domain
      </labl>
      <valrng>
        <range UNITS="REAL" min="99" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DOMAIN (V023) defines the basic geographic units for which the sample was designed to yield representative estimates. 

The DHS Recode Manual describes DOMAIN as follows:

 For example, if the sample was designed to be self-weighting within region, this variable would define those regions; if the sample was designed to be self-weighting within major urban areas, other urban areas and rural areas, this variable would define the major urban, other urban and rural areas. If the sample is self-weighted at the national level, this variable is code 0.

When national estimates are desired, users should include survey design variables, including DOMAIN (V023) and PSU (V021), and the correct sample weights (e.g., PERWEIGHT (V005)) to adjust sampling errors to account for DHS' sample design.

In most countries, DOMAIN defines the stratification for the sample (generally either regional or national).  However, some countries use two levels of stratification, such as region and urban/rural areas.  Users should check for the correct stratification design by consulting the Final Report(s) for the sample(s) of interest (particularly the Introduction and Sample Design sections and Implementation Appendix).]]>
      </txt>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1627" name="C_HHNUM" files="F2" dcml="0" intrvl="contin">
      <labl>
        Household number in cluster
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHNUM (V002) is the number identifying the household in which the respondent was
interviewed, within each sample.   

To identify unique households in most samples, researchers must use HHNUM with CLUSTERNO (V001).  

For most samples, HHNUM and CLUSTERNO can be used to merge IPUMS-DHS data from the women's file to DHS Household Recode files, to incorporate household variables not yet available in the IPUMS-DHS.  However, in some household files, HHNUM and CLUSTERNO do not uniquely identify households in the DHS Household Recode file. 

For information about the IPUMS-DHS samples where HHNUM and CLUSTERNO are not sufficient to uniquely identify households, and for guidance on what further steps to take for linking files in such cases, please consult the User Note on Linking. [URL omitted from DDI.]]]>
      </txt>
      <codInstr>
        HHNUM is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1628" name="C_CLUSTERNO" files="F2" dcml="0" intrvl="contin">
      <labl>
        Sample-specific cluster number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CLUSTERNO (V001) reports the cluster number for the person's de facto residence.

According to the DHS Sampling Manual, "A cluster is the smallest geographical survey statistical unit for DHS surveys. It consists of a number of adjacent households in a geographical area. For DHS surveys, a cluster corresponds either to an [enumeration area], or a segment of a large [enumeration area]."  The most recent census for a country, which divided all territory into enumeration areas to ensure full coverage of the population, often provides the sampling frame for a DHS survey.
 
CLUSTERNO is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable STRATA to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

See the notes on DHS webpage  "Use sample weights" [URL omitted from DDI.] on variance estimation for additional information.

CLUSTERNO (V001) and HHNUM (V002) can be used to merge the women's individual recode file to the household recode file.  See the DHS webpage  Merging Datasets [URL omitted from DDI.] on variables to be used for linking data sets.]]>
      </txt>
      <codInstr>
        CLUSTERNO is an 8 digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1629" name="C_ULTAREAUNIT" files="F2" dcml="0" intrvl="contin">
      <labl>
        Sample-specific ultimate area unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ULTAREAUNIT (V004) reports the ultimate area unit for the person's de facto residence.

According to the DHS recode manuals, ULTAREAUNIT 

is a number assigned to each sample point to identify the ultimate area units in the collection of data. It is usually the same as the cluster number [CLUSTERNO (V001)], but may be a sequentially numbered variable for samples with a more complicated structure.


ULTAREAUNIT can be used to account for the impact of the sampling design clustering on the variance estimates and standard errors.]]>
      </txt>
      <codInstr>
        ULTAREAUNIT (V004) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1630" name="C_LINENO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Household line number of woman respondent
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="106"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LINENO (V003) reports the number of the line on which the DHS interviewer recorded the woman's name, when filling out the household schedule. After asking "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.
      </txt>
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        <catValu>
          1
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          1
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          2
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          2
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      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1631" name="C_LINENOHUS" files="F2" intrvl="discrete">
      <location width="8"/>
      <labl>
        Household line number of respondent's husband
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LINENOHUS (V034) reports the number of the line on which the DHS interviewer recorded the name of the women's husband/partner, when filling out the household schedule. After asking "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.
      </txt>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          Husband not in the household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1632" name="C_BIDX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Birth history index number
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIDX reports the index number of the child in the mother's birth history, from 1 to n, where the nth birth is the mother's first birth, and 1 is the most recently born child. Up to 20 births could be reported by a woman. After asking "Now I would like to record the names of all your births, whether still alive or not, with the first one you had," the interviewer recorded each child's name in turn on successively numbered lines printed in the "Reproduction" section of the individual woman's questionnaire. 

Combined with CASEID, BIDX uniquely identifies children within a sample. Combined with IDHSPID, BIDX uniquely identifies children across samples. Using these variables, data users can link IPUMS-DHS data to original DHS child-level and birth-level datasets.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1633" name="C_HIDX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Health history index to birth history
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HIDX reports the young child's line number in the woman respondent's health history section. For children who are included in the health history (normally, children under age 3, 4, or 5), the value of HIDX is the same as the child's line number in the birth history (BIDX). 

After asking, "Now I would like to record the names of all your births, whether still alive or not, with the first one you had," the interviewer recorded each child's name in turn on successively numbered lines printed in the "Reproduction" section of the individual woman's questionnaire.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1634" name="C_PERWEIGHT" files="F2" dcml="6" intrvl="contin">
      <labl>
        Sample weight for persons
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PERWEIGHT (V005) is an 8-digit variable with 6 implied decimal places, which should be used as a weighting factor to produce representative numbers accurately describing the surveyed population.

While the DHS Recode Manuals direct the researcher to divide the original weight variable by 1,000,000 before applying the weighting factor to the original DHS data files, it is not necessary to modify the value of PERWEIGHT before applying this weight to cases in IPUMS-DHS. 

PERWEIGHT should be used to weight nearly all tabulations made using IPUMS-DHS data.  Occasionally, as with the domestic violence variables, a subset of respondents are randomly selected to answer questions from a survey module, and a specialized weight such as DVWEIGHT should be used instead. 

Note: The 6 implied decimal places in PERWEIGHT mean that the last six digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.]]>
      </txt>
      <codInstr>
        PERWEIGHT is an 8-digit numeric variable with 6 implied decimal places. See the variable description for directions on the use of PERWEIGHT.
      </codInstr>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1635" name="C_AWFACTT" files="F2" dcml="0" intrvl="contin">
      <labl>
        All woman factor for total population
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AWFACTT is a 5-digit variable (in IPUMS-DHS) with 2 implied decimal places that is used to create total population estimates for all women of childbearing age, for those samples interviewing only ever-married women. A post from DHS senior staff member Tom Pullum on the DHS Users Forum explains, 

The all-woman factors are needed when you are trying to estimate something for all women, but you have to work with ever-married women because that's all you have in the sample. An example is when you want to estimate a fertility rate for all women but you only have the births and exposure for ever-married women.  You have to assume that (a) never-married women have no births and (b) awfact/100 is a multiplier to inflate exposure for ever-married women to exposure for all women.   

For surveys that used a sampling frame of all women of childbearing age, AWFACTT has a value of 100 (or 1.00, with two decimal places), and thus has no effect on the survey statistics when used as a multiplier.  For samples that included only ever-married women, AWFACTT serves as a multiplier to create total population figures for all women of childbearing age, following the assumptions noted above.

The width of AWFACTT ranges from a low of 3 to a high of 5 in the original DHS files; see Comparability for further discussion.]]>
      </txt>
      <codInstr>
        AWFACTT is a 5-digit numeric variable with 2 implied decimal places. See the variable description for directions on the use of AWFACTT.
      </codInstr>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1636" name="C_MENSELHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Household selected for men's/husband's survey (individual-level)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MENSELHH (HV027) indicates whether the respondent's household was selected for the men's or husband's survey. Samples including neither a men's survey nor a husband's survey are excluded from this variable in IPUMS-DHS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not selected
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Selected for men's survey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Selected for husband's survey
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1637" name="C_DVMODULE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Selected for domestic violence module
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DVMODULE (V044) identifies female respondents who were selected to receive questions from the domestic violence module and, for those selected, indicates whether they were interviewed.

For samples including the module, one woman of childbearing age per household was randomly selected for the interview, using a table included in the questionnaire.  Some women who were selected for the domestic violence interview refused to participate; others were excluded because the woman could not be interviewed privately.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Woman not selected
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman selected and interviewed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman selected, but privacy not possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman selected, but not interviewed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1638" name="C_DVWEIGHT" files="F2" dcml="6" intrvl="contin">
      <labl>
        Weight for domestic violence module
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DVWEIGHT (D005) is an 8-digit variable with 6 implied decimal places, which should be used as a weighting factor for the subset of women who were randomly selected and interviewed in privacy for the domestic violence module (as indicated by DVMODULE) (V044). For further information about using weights with the DHS data, see PERWEIGHT (V005).  

Note: The 6 implied decimal places in DVWEIGHT mean that the last six digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.]]>
      </txt>
      <codInstr>
        DVWEIGHT is an 8-digit numeric variable with 6 implied decimal places.
      </codInstr>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1639" name="C_HEMOSELECT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Household selected for hemoglobin measurements
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HEMOSELECT (V042) indicates whether the respondent's household was selected for hemoglobin measurements of the household members. 

Hemoglobin is a protein in the red blood cells that carries oxygen from the lungs to the organs and tissues and transports carbon dioxide back to the lungs. Low hemoglobin levels indicate the presence of anemia (which may be caused by inadequate nutrition or chronic disease).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not selected
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Selected
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1640" name="C_INTYEAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year of interview
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INTYEAR (V007) reports the year the interview took place. 

The dates reported in INTYEAR are based on the Gregorian calendar.]]>
      </txt>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1641" name="C_MONTHINT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MONTHINT (V006) reports the month when the interview took place.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1642" name="C_INTDAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day of month of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="31"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INTDAY (V016) reports the day of the month on which the interview took place. INTDAY uses dates expressed in the Gregorian calendar.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1643" name="C_INTDATECMC" files="F2" dcml="0" intrvl="contin">
      <labl>
        Century month date of interview
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INTDATECMC (V008) reports century month code for the date on which the interview took place. 

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTDATECMC are calculated using the Gregorian calculator.]]>
      </txt>
      <codInstr>
        INTDATECMC (V008) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1644" name="C_INTRESULT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Result of individual interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="7"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INTRESULT (V015) reports the result of the individual interview. Code 1 represents a completed interview. Only completed interview cases are included in the DHS women's individual recode files, which provide the source material for IPUMS-DHS.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not at home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Postponed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Partly completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Respondent Incapacitated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1645" name="C_EVMARALLSAMP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever-married or all-women sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EVMARALLSAMP (V020) indicates whether the sample includes only ever-married women or includes all women of childbearing age.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          All women sample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ever-married women sample
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1646" name="C_INTERVIEWERIDIR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Identification number of interviewer, women's survey
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INTERVIEWERIDIR (V028) reports the interviewer identification code for the interviewer conducting the individual women's interviews for women of childbearing age. Codes are country- and sample-specific; a given numeric code in one survey refers to a different person than the same numeric code in another survey. Numbering of interviewer codes is not necessarily consecutive; some surveys use "0" as an identification code, for example, while others begin with a 3-digit number. Using the interviewer identification codes, researchers can evaluate whether the quality of responses (e.g., the number of "missing" cases) depended on the person conducting the interview.
      </txt>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1647" name="C_HIVCONSENT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Result of consent statement for HIV test
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HIVCONSENT (V473a) indicates whether permission was granted for the person's blood to be drawn and tested for HIV antibodies or, if not, why not. Interviewers read a statement about HIV testing and requested permission to draw and test the individual's blood; blood was drawn only if consent was given by the persons themselves (if adults) or by a parent or guardian (if a minor).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Permission granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Permission not granted/not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Parent/responsible adult refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Respondent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          No adult present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Problem with sample drawn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1648" name="C_HIVBLOODTEST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Blood tested for HIV
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HIVBLOODTEST (V473b) indicates whether the person's blood was drawn and tested for HIV antibodies or, if not, why the person's blood was not tested. All "no" responses have a common first digit of "2," while the second digit reveals the reason (e.g., consent refused, blood sample insufficient or damaged).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Blood taken and tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Blood not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Person not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Consent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sample not tested/lost/damaged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1649" name="C_URBAN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Urban-rural status
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        URBAN (V025) indicates whether the person's de facto residence was in an urban or rural location. The definition of urban varies across countries. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1650" name="C_DEFACTORES" files="F2" dcml="0" intrvl="discrete">
      <labl>
        De facto place of residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="22"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DEFACTORES (V026) reports the type of place--city, town, or countryside--where the person was interviewed.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Capital or other large city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Other city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Town or countryside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Countryside
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1651" name="C_PREVRESTYP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of place of previous residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREVRESTYP (V105) reports the type of place--city, town, countryside, or a site abroad--where the person lived just before moving to the current place of residence.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Capital or other large city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Other city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Town or countryside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Countryside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other or abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Other, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1652" name="C_GEO_MW1992_2016" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malawi regions, 1992-2016 [integrated; GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO_ MW1992_2016 indicates the region of Malawi where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

Labels identify the modern geographic units (regions) contained in each integrated region. Each sample also has its own non-integrated geography variable. An additional integrated variable, GEOALT_MW2010_2016, does not include the 1992, 2000, or 2004 Malawi samples but contains greater geographic detail (districts).

An integrated GIS map (in shapefile format) for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Integrated geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1653" name="C_GEOALT_MW2010_2016" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malawi districts, 2010-2016 [integrated; GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="313"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEOALT_ MW2010_2016 indicates the region of Malawi where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

DHS regions in GEOALT_ MW2010_2016 are equivalent to districts. Each sample also has its own non-integrated geography variable. An additional integrated variable, GEO_MW1992_2016, includes the 1992, 2000, and 2004 Malawi samples and contains less geographic detail (regions).

An integrated GIS map (in shapefile format) for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Chitipa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Nkhatabay and Likoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Rumphi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Mzimba and Mzuzu City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Kasungu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Nkhota kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Ntchisi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Dowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Salima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Lilongwe and Lilongwe City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Mchinji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Dedza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Ntcheu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Mangochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Machinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Zomba and Zomba City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Chradzulu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Blantyre and Blantyre City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Thyolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Mulange
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Phalombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Chikwawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Ndanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Balaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Neno
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Integrated geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1654" name="C_GEO_MW2010" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malawi regions, 2010 [GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO_MW2010 (V101_MW2010) indicates the region of Malawi where the respondent was interviewed. DHS units in the 2010 Malawi survey are equivalent to regions.

Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_MW1992_2016, that provides spatially consistent units over time. Greater geographic detail for the Malawi 2010 sample can be found in GEOALT_MW2010.

A GIS map for GEO_MW2010 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Single sample geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1655" name="C_GEOALT_MW2010" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malawi districts, 2010 [GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="313"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEOALT_MW2010 indicates the region of Malawi where the respondent was interviewed. DHS regions in GEOALT_MW2010 are equivalent to districts. 

Other sample years have their own sample-specific geography variables.  There is also an integrated variable GEOALT_MW2010_2016 that provides spatially consistent units over time. Lesser geographic detail for the Malawi 2010 sample can be found in GEO_MW2010. An additional integrated variable, GEO_MW1992_2016, provides spatially consistent units over time with less geographic detail.

A GIS map for GEOALT_MW2010 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.]]>
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Chitipa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Nkhatabay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Rumphi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Mzimba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Kasungu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Nkhota kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Ntchisi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Dowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Salima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Lilongwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Mchinji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Dedza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Ntcheu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Mangochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Machinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Zomba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Chiradzulu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Blantyre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Thyolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Mulanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Phalombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Chikwawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Nsanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Balaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Neno
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Single sample geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1656" name="C_DHS_IPUMSI_MW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        DHS-IPUMS-I Malawi regions, 1987-2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DHS_IPUMSI_ MW provides geographic codes for Malawi that match those in the DHS and IPUMS-International  [URL omitted from DDI.] databases. This variable can be used to link contextual area data from IPUMS-DHS to IPUMS-International or vice versa. The codes in DHS_IPUMSI_MW indicate the major administrative unit in which the household was enumerated or surveyed.

GIS shapefiles for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        IPUMS International geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1657" name="C_AGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="64"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGE (V012) reports the woman's age. DHS surveys collect information about the woman's age through questions about age at last birthday and date of birth.  DHS Recode Manuals provide the following information about how the AGE variable is calculated:

Current age in completed years is calculated from the century month code of the date of birth of the respondent (V011) and the century month code of the date of interview (V008). In a few cases the age in the data file will be different from that reported by the respondent when the respondent's birthday was in the month of interview, but she had not yet had her birthday. If the respondent correctly reported her age at her last birthday (and not her age at her next birthday) then the calculated age was rounded up from the reported age, to avoid inconsistencies between the age and the century month code for the birth.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1658" name="C_AGE5YEAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age in 5 year groups
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="93"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGE5YEAR (V013) reports the woman's age in 5-year groups, based on data from the AGE (V012) variable. The age range of women interviewed varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 to 14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          10 to 14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          13-14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          15-19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          20-24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          25-29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          30-34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          35-39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          40-44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          45-49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          50+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          50-54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          55-59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          60-64
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1659" name="C_BIRTHMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman's month of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHMO (V009) reports the woman's month of birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1660" name="C_BIRTHYEAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman's year of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1936" max="2002"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHYEAR (V010) reports the woman's year of birth.
      </txt>
      <catgry>
        <catValu>
          1936
        </catValu>
        <labl>
          1936
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1937
        </catValu>
        <labl>
          1937
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1938
        </catValu>
        <labl>
          1938
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1939
        </catValu>
        <labl>
          1939
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1940
        </catValu>
        <labl>
          1940
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1941
        </catValu>
        <labl>
          1941
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1942
        </catValu>
        <labl>
          1942
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1943
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1944
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1945
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1946
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1947
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1661" name="C_DOBCMC" files="F2" dcml="0" intrvl="contin">
      <labl>
        Respondent's date of birth, in century months
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DOBCMC (V011) reports the century month code (CMC) for the woman's date of birth. 

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].]]>
      </txt>
      <codInstr>
        DOBCMC (V011) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1662" name="C_DOBINFORESP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Information given on respondent's date of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DOBINFORESP (V014) reports the completeness of information about the respondent's age and date of birth. A code of 0 indicates the month and the year were reported, and no data were imputed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Month and age, year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year and age, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Year and age, year ignored
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Year only, age and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Age only, year and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Month only, age and year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Season and year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          None reported, all imputed
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1663" name="C_RESIDENT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Usual resident or visitor
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RESIDENT (V135) indicates whether the woman was a usual resident of the household or was just visiting there. As defined by the RESIDENT variable, a visitor could potentially reside in the city, town, or village where the interview took place but would have answered "No" to the question, "Does (NAME) usually live here [in this dwelling unit]?" on the household questionnaire.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Usual resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1664" name="C_RELATE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Respondent's relationship to HH head
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELATE (V150) reports the woman's relationship to the head of the household, based on a question in the household questionnaire.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Daughter or son
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Daughter- or son-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Mother or father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Sister or brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Co-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Adopted/foster child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Niece or nephew by blood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Niece or nephew by marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Niece or nephew unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Sibling-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Aunt or uncle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Nonrelative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Domestic servant/employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Herdboy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1665" name="C_PREGNANT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Currently pregnant
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREGNANT (V213) indicates whether the respondent is currently pregnant.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No/unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1666" name="C_DURCURPREG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Duration of current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For currently pregnant women, DURCURPREG (V214) reports the imputed duration of the woman's current pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1667" name="C_TRIPSAWAYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of trips away from home in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TRIPSAWAYR (V167) reports the number of times the respondent has been away from home or from her home community for one or more nights in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1668" name="C_TRIPAWAY1MO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Respondent away from home for over 1 month in last year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TRIPAWAY1MO (V168) indicates whether the respondent has been away from home or from her home community for more than one month at a time in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1669" name="C_RELIGION" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Religion
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELIGION (V130) reports the woman's religion. While the categories and codes for the religion variable in the original DHS files are country-specific, IPUMS-DHS uses a 3-digit composite coding system to fit these diverse categories into a single variable without losing information. See Comparability.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Muslim/Islam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Anglican
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Methodist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Presbyterian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Lutheran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Baptist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Pentacostal/Charismatic/Evangelical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Apostolic Sect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Seventh Day Adventist/Baptist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Jehovah's Witnesses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Universal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Other Christian, unspecified/general
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Other Protestant, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Other Christian, specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Ethiopian Orthodox
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Celestial Church of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          African Zionist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Munu Mwama (African Pentecostal)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          United Faith Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          African Orthodox Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          Evangelical Lutheran Church in Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          Lesotho Evangelical Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Kimbanguist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Orthodox
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Mammon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Other, not Christian or Islam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Hindu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Sikh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Buddhist/Neo-Buddhist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Jewish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Parsi/Zoroastrian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Doni-Polo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Sanamahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Bahai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Bisaka group/Faith of Unity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Kirat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Traditional/spiritual/animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Traditional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Spiritual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Voodoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          No religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Religion 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Religion 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Religion 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Religion 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and religion Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1670" name="C_ETHNICITYMW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ethnicity, Malawi
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ETHNICITYMW (V131MW) is a variable specific to Malawi that reports responses to a question about the woman's tribe or ethnicity. The number of groups identified varied across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Chewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tumbuka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Lomwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Yao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Nkonde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Ngoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other groups
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Amanganja/Anyanja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mang'anja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Lambya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Ndali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Nyanja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Other, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and religion Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1671" name="C_RESIDEINTYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Years lived in place of residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RESIDEINTYR (V104) reports the number of years the woman had been living continuously in the village, town, or city where she was interviewed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Always
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1672" name="C_HHMEMTOTAL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total number of household members
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="80"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHMEMTOTAL (V136) reports the total number of members of the woman's household.  

According to the DHS Recode Manuals, HHMEMTOTAL is calculated by summing "the number of usual residents and the number of visitors who slept in the house the previous night that were listed in the household schedule."  "Usual residents" of the household are identified by the RESIDENT variable.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1673" name="C_HHELIGWOMEN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of eligible women in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHELIGWOMEN (V138) reports the number of eligible women in the household, usually defined as women of childbearing age who slept in the household the previous night (regardless of whether they were usual residents or visitors). The age and marital status guidelines for defining eligible women varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          No women age 15-49
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1674" name="C_HHKIDLT5" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of children under 5 in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="25"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHKIDLT5 (V137) reports the number of children age 5 and under who reside in the household. Visiting children are not included in the count.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
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        <labl>
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        </labl>
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        </catValu>
        <labl>
          9
        </labl>
      </catgry>
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          10
        </catValu>
        <labl>
          10
        </labl>
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        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
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        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
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          13
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        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1675" name="C_HHEADAGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age of household head
      </labl>
      <valrng>
        <range UNITS="REAL" min="2" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHEADAGE (V152) reports the age of the head of the household.
      </txt>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
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          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
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          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
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          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
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        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
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        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
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        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
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        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
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        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
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        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
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        <catValu>
          18
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          18
        </labl>
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        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
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      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
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        <catValu>
          38
        </catValu>
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          38
        </labl>
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          39
        </catValu>
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          39
        </labl>
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          40
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          40
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        <catValu>
          41
        </catValu>
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          41
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          42
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          42
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          43
        </catValu>
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          43
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        <catValu>
          44
        </catValu>
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          44
        </labl>
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        <catValu>
          45
        </catValu>
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          45
        </labl>
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        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
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        <catValu>
          47
        </catValu>
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          47
        </labl>
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          48
        </catValu>
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        </labl>
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        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
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        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
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        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
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        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
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        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
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        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1676" name="C_HHEADAGEHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age of household head (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHEADAGEHH (HV220) reports the age of the head of the household.

The information in HHEADAGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1677" name="C_HHEADSEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sex of household head
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHEADSEX (V151) reports the sex of the head of the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1678" name="C_HHEADSEXHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sex of household head (from hh record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHEADSEXHH (HV219) reports the sex of the head of the household.

The information in HHEADSEXHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1679" name="C_FAMSTRUCTR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Relationship structure in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FAMSTRUCTR (HV217) indicates the relationship structure (no adults, one adult, two related adults of the opposite sex, two related adults of the same sex, three or more related adults, or unrelated adults) in the household. Only usual (de jure) household members aged 15 and over are considered in determining the household's relationship structure. FAMSTRUCTR is a constructed variable, based on information about each household member's age, sex, and relationship to the householder, which was collected when completing the listing of persons in the household at the time of the survey.

The information in FAMSTRUCTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          One adult
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Two adults, opp sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Two adults, same sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Three plus related adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unrelated adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1680" name="C_HHDEATHYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Member of HH died in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHDEATHYR (HV249) indicates whether any member of the household died in the 12 months before the survey.

The information in HHDEATHYR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1681" name="C_HHDEATHYRNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of HH members who died in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHDEATHYRNO (HV250) indicates the number of household members who died in the 12 months before the survey.

The information in HHDEATHYRNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1682" name="C_SICKADULTNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of sick people age 18 to 59 in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SICKADULTNO (HV248) reports the number of sick people age 18-59 in the household.

The information in SICKADULTNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1683" name="C_HHORPHANNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of orphans and vulnerable children in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="96"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHORPHANNO (HV251) indicates the number of orphans and vulnerable children in the household.

The information in HHORPHANNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1684" name="C_MARSTAT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman's current marital or union status
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MARSTAT (V501) reports the woman's current marital status. Response categories and question wording vary across surveys. See Comparability.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unconsummated marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Married or living together
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Living together
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Formerly in union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Separated/not living together
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Deserted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1685" name="C_EVERMARRIED" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever been married
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently married or living with a man, EVERMARRIED (V535) reports the woman's relationship history as "No [never married/in union]," "Formerly married," or "Lived with a man."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Formerly married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Formerly married with certificate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Formerly married by custom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Lived with a man
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1686" name="C_CURRMARR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman never, currently, or formerly married
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CURRMARR (V502) reports the woman's marital/union status as "Never married," "Currently married," or "Formerly married."

"Never married" includes women who have never lived with a partner. "Currently married" includes women who are married and those who are not formally married but are living with a partner. "Formerly married" includes women who are widowed, divorced, or separated, or who have formerly lived with a partner. For samples restricted to ever-married women, only women who are formally married (not cohabiting) are included as "married."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Currently married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Formerly married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1687" name="C_UNION1MORE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman had one or more than one union
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had ever been married or lived with a man, UNION1MORE (V503) indicates whether the respondent had been in one or more than one marriage/union.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          One
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          More than one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1688" name="C_AGEFRSTMAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age at first marriage or cohabitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGEFRSTMAR (V511) reports the woman's age at the start of her first marriage or union. This usually refers to when the woman first started to live with her first husband or partner. According to the DHS Recode Manuals, "Age at start of first marriage or union is calculated from the century month code of the date of start of first marriage or union and the century month code of the date of birth of the respondent."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1689" name="C_HUSAGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age of husband/partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HUSAGE (V730) reports the age of the woman's husband or co-resident partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1690" name="C_DURMARGRP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Marital or cohabitation duration (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DURMARGRP (V513) reports the number of years elapsed since the woman's first marriage or cohabiting union until the date of the survey interview, in five-year groups. The duration is reported irrespective of whether the respondent is still married or in a union with her first partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          0 to 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          5 to 9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          10 to 14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          15 to 19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          20 to 24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          25 to 29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1691" name="C_MAR1STMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month of first marriage or cohabitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had ever been married or lived with a man, MAR1STMO (V507) reports the month of their first marriage or (for most samples) unmarried cohabitation. The year of the woman's first marriage/union is reported in MAR1STYR (V508).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1692" name="C_MAR1STYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year of first marriage or cohabitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="1943" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had ever been married or lived with a man, MAR1STYR (V508) reports the year of their first marriage or (for most samples) unmarried cohabitation. The month of the woman's first marriage/union is reported in MAR1STMO (V507).
      </txt>
      <catgry>
        <catValu>
          1943
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1944
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1945
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1946
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1947
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1693" name="C_YRSTO1STMAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Years since starting date of 1st marriage or union
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had ever been married or lived with a man, YRSTO1STMAR (V512) reports the number of years from the start of the woman's first marriage/union to the date of the survey interview. The calculation is made using century month codes for both dates.

For the month and year of first marriage/union, see MAR1STMO (V507) and MAR1STYR (V508) respectively.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1694" name="C_MAR1STCMC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Date of first marriage or cohabitation (CMC)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAR1STCMC (V509) reports the century month code (CMC) for the date of the woman's first marriage or cohabitation. 

Century month codes (CMC) are particularly useful checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1695" name="C_MAR1STDATINFO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information, date of first marriage/union
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MAR1STDATINFO (V510) reports the completeness of information for the date of the woman's first marriage or cohabitation. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Month and age reported, year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year and age reported, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Year reported, age and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Age reported, year and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Month reported, age and year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Year and age reported, year ignored
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Season and year reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          All values imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          All reported, inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1696" name="C_MARTO1STBORNMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Months between respondent's 1st marriage and 1st birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="998" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MARTO1STBORNMO (V221) reports the number of months between the woman's first marriage (i.e., formal marriage or first episode of living with a man) and her first birth. For women whose first birth occurred before their first marriage, this variable is coded as '998.'
      </txt>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          First birth prior to first marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1697" name="C_WIFENUM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of other wives
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were currently married or living with a man, WIFENUM (V505) reports the number of other wives (or co-resident partners) their husband/partner had. Question wording varied across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No other wives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Has other wives, dk number
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1698" name="C_WIFERANK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Wife rank number
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women married to or living with a man who had more than one wife/partner, WIFERANK (V506) reports the woman's rank among her husband's/partner's wives/partners.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1699" name="C_HUSBINHOME" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Husband/partner lives in woman's household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were currently married or living with a man, HUSBINHOME (V504) indicates whether the husband/partner lived with the woman or stayed elsewhere.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Living with woman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Staying elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1700" name="C_MARENDWHY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason previous marriage ended
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MARENDWHY (V538) indicates the reason (death/widowhood, divorce, or separation) the respondent's previous marriage or union ended.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Death/widowhood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1701" name="C_CHEB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total children ever born
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHEB (V201) reports the total number of children ever born to the respondent.  The number reported in CHEB is the sum of a series of variables covering the total number of sons and daughters who are living at home, living away from home, or who have died (V202 to V207).   

The number of births reported in CHEB will match the number of entries in the birth history (V224) for up to 20 births.  If the woman reported more than 20 births, then the number for CHEB will exceed the number of births in the birth history, but such cases are rare.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1702" name="C_TOTBIRTHIST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of entries in the birth history
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TOTBIRTHIST (V224) reports the number of entries in the woman respondent's birth history. 

For up to 20 births, the birth history contains information for each of the respondent's births. In those rare cases when the respondent had more than 20 births, the birth history lists the last 19 births and the first birth.  

In cases where the women had fewer than 20 births, the number reported in TOTBIRTHIST will match the number reported in CHEB (V201), the total number of children ever born to the respondent.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1703" name="C_SONSATHOME" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of own sons living at home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are currently living with her. 

The related variable SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth and are still alive, but who are not currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1704" name="C_DAUSATHOME" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of own daughters living at home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are currently living with her. 

The related variable DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth and are still alive, but who are not currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1705" name="C_SONSAWAYHOME" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of own sons living away from home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are still alive, and who are currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1706" name="C_DAUSAWAYHOME" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of own daughters living away from home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are still alive, and who are currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1707" name="C_SONSDIED" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of own sons who have died
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SONSDIED (V206) reports the number of sons to whom the woman has given birth who have died.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1708" name="C_DAUSDIED" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of own daughters who have died
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DAUSDIED (V207) reports the number of daughters to whom the woman has given birth who have died.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1709" name="C_BIRTHSIN5YRS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of births in last 5 years
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSIN5YRS (V208) reports the number of births the woman had in the five years prior to the survey. This statistic is calculated based on the total number of births in the 0 to 59 months prior to the month of the interview.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1710" name="C_BIRTHSIN1YR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of births in the past year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSIN1YR (V209) reports the number of births the woman had in the year prior to the survey. This statistic is calculated based on the total number of births in the months 0 to 12 (not 0 to 11) prior to the month of the interview. For example, if the survey were given in January, BIRTHSIN1YR would report the number of births the woman had between the time of the survey and the previous January.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1711" name="C_BIRTHSIN1MO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total number of births in month of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSIN1MO (V210) reports the total number of births the woman had in the month of interview.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1712" name="C_DOB1STKIDCMC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Date of respondent's first birth, in century months
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DOB1STKIDCMC (V211) reports the century month code (CMC) for the date of the woman's first birth. 

The Guide to DHS Statistics (2003) explains the use and calculation of CMC values as follows:

Century month codes (CMC) are particularly important to check consistency of dates, to calculate intervals between events, and to impute dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. That year was chosen as the reference period because all of the DHS relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 will be:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed since January 1900 to June 2002. Based on CMC it is possible to calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )]]>
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1713" name="C_TIMEMENSTRUATE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Time since woman's last menstrual period
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TIMEMENSTRUATE (V215) reports the time passed since the woman's last menstrual period, in days, weeks, months, or years.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Day of Interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Days: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 Weeks: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          91 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          92 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          93 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          94 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          95 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          96 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          97 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          98 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 Months: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          98 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Years: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          35 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          36 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          37 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          38 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          39 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          40 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          41 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          42 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          43 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          44 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          45 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          46 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          47 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          48 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          49 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Currently pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          In menopause/had hysterectomy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Never menstruated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1714" name="C_MENSTRUATE6WK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman menstruated last 6 weeks
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MENSTRUATE6WK (V216) indicates whether the woman menstruated in the 6 weeks prior to the interview, as calculated from TIMEMENSTRUATE (V215).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1715" name="C_OVCYCLE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        When in cycle thinks pregnancy is most likely
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        OVCYCLE (V217) suggests the woman's knowledge of the ovulatory cycle by reporting when she believes a woman has the greatest chance of becoming pregnant.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          During her period
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          After period ended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Middle of the cycle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Before period begins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          At any time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other/It depends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1716" name="C_CHEBALIVE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total number of living children born to respondent
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHEBALIVE (V218) reports the total number of children ever born to the respondent who are currently living. The number reported in CHEBALIVE (V218) is the sum of a series of variables reporting the total number of sons and daughters who are living at home and who are living away from home (V202 to V205 - SONSATHOME, DAUSATHOME, SONSAWAYHOME, and DAUSAWAYHOME). 

The related variable CHEB (V201) reports the total number of children ever born to the respondent, regardless of survival status.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1717" name="C_CHSURVPLUSPG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total number of living children including current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHSURVPLUSPG (V219) reports the woman's total number of living children, including her current pregnancy. 

CHSURVPLUSPG takes the value of CHEBALIVE (V218) and adds 1 if the respondent is pregnant.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1718" name="C_CHEBALIVETRUNC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total number of living children, truncated at 6+
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHEBALIVETRUNC (V220) reports the woman's total number of living children (including current pregnancy), truncated at 6 or more children. This variable is a grouping of CHSURVPLUSPG (V219) truncated at 6+ children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1719" name="C_LASTBIRTHTOINTMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Interval between last birth and interview, in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have ever given birth, LASTBIRTHTOINTMO (V222) reports the number of months between their last birth and the date of interview.
      </txt>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1720" name="C_CONCEPTDATEFLAG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information on date of conception, current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For pregnant women, CONCEPTDATEFLAG (V223) indicates the completeness of information relating to the date of conception of their current pregnancy.  According to the DHS Recode Manuals, "This variable indicates whether the date of conception was exactly specified by the duration of the current pregnancy or the duration was imputed from other information." 

The related variable DURCURPREG reports the duration of the current pregnancy.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month- exact date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Date missing, imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1721" name="C_MENSTIMFLAG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Flag for reported time since last menstrual period
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MENSTIMFLAG (V227) is a flag variable that indicates the type of problem, if any, found in editing responses on the time since the respondent's last menstrual period. Cases without a problem are coded 0.

For time since last menstrual period, see TIMEMENSTRUATE (V215).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Number GT interval since birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Number plus amenorrhea GT interval
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Number reported, but period not returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Reported before last birth, but no birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Reported before last birth, but period since
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Reported never menstruated, but period returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Reported time during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Reported never menstruated but had kids
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Reported period before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1722" name="C_PREGTERMIN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever had pregnancy terminate via abortion, miscarriage or stillbirth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREGTERMIN (V228) indicates whether the woman ever had a pregnancy that was terminated due to miscarriage, abortion, or stillbirth, and did not result in a live birth.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1723" name="C_PREGTERMINMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Calendar month of pregnancy termination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have had a pregnancy terminated through abortion, stillbirth or miscarriage, PREGTERMINMO (V229) indicates the calendar month when the last pregnancy termination occurred.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Decement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1724" name="C_PREGTERMINYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year of last pregnancy termination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1956" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have had a pregnancy terminated through abortion, stillbirth or miscarriage, PREGTERMINYR (V230) reports the year when the last pregnancy termination occurred.
      </txt>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1725" name="C_PREGTERMTIM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Months pregnant when pregnancy terminated
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had a pregnancy end without a live birth (through abortion, stillbirth or miscarriage) 5 years before the survey, PREGTERMTIM (V233) indicates how many months pregnant the woman was when the pregnancy ended.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1726" name="C_PREGTERMPREV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Respondent had previous pregnancy terminations (prior to last 5 years)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had a pregnancy end without a live birth (through abortion, stillbirth or miscarriage) in the 5 years before the survey, PREGTERMPREV (V234) indicates whether the woman had any other pregnancies that ended without a live birth.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1727" name="C_PRECALBIDX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Birth history index for last child born prior to the start of the calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PRECALBIDX (V235) provides the birth index number (see BIDX for more information) of the last child born to the woman before the start of the survey's birth calendar. For the majority of samples, PRECALBIDX reports the birth index number of the last child born prior to 5 years before the survey. For a minority of samples, the reference period is 3 or 4 years before the survey. See Sample Description [URL omitted from DDI.] information on the universes for children included in the surveys to learn the specific reference period for each survey.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No prior child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 (or yes, prior child)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1728" name="C_BIRTHSOTHER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Other live births in interval between last birth reported and date of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSOTHER (V237) indicates whether the woman had any other live births in the interval between the last reported birth and the date of the interview. The question for this variable verifies whether the woman omitted any births when reporting her birth record. Omitted births should be included in the final version of the birth history in the variable CHEB (V201).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1729" name="C_BIRTHSTOT3YR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total births in last 3 years prior to interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSTOT3YR (V238) indicates the total number of births the woman had in the 3 years (0 to 35 months) prior to the interview (where 0 is the month of interview). Responses are based on the woman's birth history table, which records the month and year of her children's births.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1730" name="C_PRECALTERM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Had pregnancies ending in miscarriage, abortion or stillbirth before calendar beginning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PRECALTERM (V239) indicates whether the respondent had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1731" name="C_PRECALTERMMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month of last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMMO (V240) indicates the calendar month of the termination.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1732" name="C_PRECALTERMYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year of last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="1960" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMYR (V241) indicates the calendar year of the termination.
      </txt>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1733" name="C_PRECALTERMCMC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Century month date of last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMCMC (V242) reports the century month date of the last pregnancy termination before the start of the birth calendar.

For information on how to interpret and calculate century month dates, see DOBCMC.

All samples in PRECALTERMCMC use the Gregorian calendar.  For similar data for Ethiopian samples using the Ethiopian calendar, see PRECALTERMCMC_ET.]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1734" name="C_PRECALTERMCOMP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information for last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMCOMP (V243) reports the completeness of information about the month and year of that pregnancy termination.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month &amp; Year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From Calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1735" name="C_TIMEMENSCALC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Computed time since last menstrual period
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMEMENSCALC (V226) reports the computed time since the respondent's last menstrual period. 

According to the DHS Recode Manuals, this variable

is computed from the response for V215, with durations exceeding the interval since the last birth (V227 = 7,9) recoded to the response "Before last birth" (code 995) and inconsistent responses flagged on variable 227 (codes 1-6) recoded to 997.


Restated in terms of IPUMS-DHS variables and variable labels, TIMEMENSCALC is computed from the response for TIMEMENSTRUATE (Time since woman's last menstrual period).  Cases with durations exceeding the interval since the last birth, when MENSTIMFLAG (Flag for reported time since last menstrual period) has values for "Reported time during pregnancy" or "Reported period before last birth," are recoded as "Before last birth" in TIMEMENSCALC.  Cases with inconsistent or implausible responses according to MENSTIMFLAG (for example, the woman reportedly never menstruated but she has given birth) are recoded to "Inconsistent" for TIMEMENSCALC.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No time difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          In menopause/had hysterectomy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Pregnant, not asked
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          In menopause
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Never menstruated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1736" name="C_AGEAT1STBIRTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age of respondent at time of first birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="2" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGEAT1STBIRTH (V212) reports the age of the woman at the time of her first birth. This variable is calculated by using the century month code (CMC) of the date of the woman's first birth (DOB1STKIDCMC) and the CMC of the woman's date of birth (DOBCMC).
      </txt>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1737" name="C_PREGTERMCMC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Century month date of last pregnancy termination
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PREGTERMCMC (V231) reports the century month code of the respondent's last pregnancy termination.  

According to the DHS Recode Manuals, "The CMC date of termination is calculated from the preceding questions [on month and year of last pregnancy termination], or from the calendar, if possible, in cases where an exact date was not given for the date of last pregnancy termination."

For detailed discussion of the calculation and interpretation of century month codes, see DOBCMC (Respondent's date of birth, in century months).]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1738" name="C_PREGTERMFLAG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Date flag for last terminated pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREGTERMFLAG (V232) is a flag variable that indicates the type of information available on the date of the respondent's last terminated pregnancy. Survey forms supplied room to collect the month and year of the last terminated pregnancy, and cases for which both month and year are available are coded 1.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1739" name="C_SLEEPROOMS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of rooms in HH used for sleeping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SLEEPROOMS (HV216) reports the number of rooms in the household used for sleeping.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1740" name="C_WALL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Main material of outside walls of dwelling
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WALL (HV214) reports the main material of the outside walls of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No walls
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Cane/palm/trunks/grass/sticks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Cane/palm/trunks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Cane/trunks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Cane/trunks/bamboo/reeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Palm branches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Sticks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Shells
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Earth/mud/dirt/dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Unbaked brick, mud, or earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Mud, dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Dirt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Hay with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Animal dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Thatch/mat/leaves/straw/reeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Thatch or straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Bamboo with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Bamboo/wood with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Stone with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Rough wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Plywood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Reused wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Timber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Wood/metal planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Poles and mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Trunks with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Tin/cardboard/paper/bags
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Cardboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Carton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Uncovered adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Corrugated metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          Canvas/tent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Unburnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Unburnt brick and plaster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Unburnt brick with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Semi-dur (cement and sand blocks)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Finished/burnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Burnt bricks with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Burnt bricks with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Sundried bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Cement blocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Wood planks/shingles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Wood and grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Stone with lime/cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Covered adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Other finished
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Metal or asbestos sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          T-iron/wood/brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          Iron or zinc sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          Corrugated asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Metal, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1741" name="C_FLOOR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Main material of floor
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FLOOR (HV213) reports the main material of the floor of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Earth-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Earth, sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Earth, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Earth, mud, clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Dirt/Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Mud and hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Dung-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Earth and dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Mud, dung, sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Wood planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Wood and tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Wood/palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Palm/bamboo/leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Other rudimentary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Broken bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unfinished stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Parquet/polished wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Polished wood/vinyl/tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Vinyl/asphalt strips/linoleum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Linoleum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Vinyl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Tiles/mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Ceramic tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Cement tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Ceramic/terrazo tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Ceramic/marble tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Tiles/brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Carpet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Mat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Terrazzo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Other finished
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          Plaster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1742" name="C_ROOF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Main material of roof
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ROOF (HV215) reports the main material of the roof of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No roof
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Thatch/palm leaf/grass/makuti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Thatch/palm leaf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Grass, thatch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Grass, thatch, makuti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Thatch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Thatch/mat/leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Grass/leaves/mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Sticks/sticks with mud or dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Dung, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Earth, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Sod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Sod/mud and grass mixture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Mud and hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Rustic mat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Rustic mat, plastic sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Plastic/polythene sheet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Palm, bamboo, grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Reed, bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Wood planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Wooden tiles, planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Wood, mulch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Cardboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Rudimentary - metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Tin cans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Iron sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Other rudimentary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Mobile roofs of nomads
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Skin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Metal, zinc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Corrugated metal sheet, asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Corrugated iron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Asbetos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Reinforced brick cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Ceramic tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Iron and tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Tiles/slate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Mud tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Ceramic tiles, harvey (steel) tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Calamine/cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Asbestos, cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Zinc/cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Roofing shingles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Unburnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Burnt brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Loosely packed stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          Stone slabs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          Slate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1743" name="C_ELECTRC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Has electricity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ELECTRC (V119) indicates whether the household has electricity. Samples vary in how that information was collected. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1744" name="C_ELECTRCHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Dwelling has electricity (from hh record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ELECTRCHH (HV206) indicates whether the household has electricity. Samples vary in how that information was collected.

The information in ELECTRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1745" name="C_COOKFUEL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of fuel household uses for cooking
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COOKFUEL (HV226) reports the type of fuel the woman's household used for cooking.
Response categories vary across surveys; see Comparability.

The information in COOKFUEL is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Petroleum-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Gasoline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          LPG, natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          LPG (liquefied petroleum gas)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Bottled gas (butane or propane)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Biogas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Coal-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Coal, lignite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Coal, coke, lignite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Wood- or grass-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Firewood, straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Straw, shrub, grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Agricultural crop-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Crop residues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Maize or other crop waste
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Solar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          No food cooked in house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1746" name="C_KITCHEN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Household has separate room for kitchen
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[KITCHEN (HV242) indicates whether the household has a separate room used as a kitchen.

The information in KITCHEN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1747" name="C_COOKHOW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Whether food is cooked on open or closed heat source
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women in households where electricity or gas was not used for fuel, COOKHOW (HV239) indicates whether food was cooked on an open heat source (such as an open hire or open stove) or on a closed heat source (such as a closed stove with chimney).  

Cooking over an open fire produces indoor air pollution associated with lung diseases such as asthma, pneumonia, and chronic obstructive pulmonary disease.

The degree of detail in responses varies across surveys; see Comparability.

The information in COOKHOW is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Open heat source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Open fire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Open stove
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Open fire or stove without chimney/hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Open fire or stove with chimney/hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Closed heat source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Closed stove with chimney
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Stove, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1748" name="C_CHIMHOOD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH fire or stove has chimney or hood
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHIMHOOD (HV240) indicates whether households that cook with an open fire or stove have a chimney or hood for ventilation. 

The information in CHIMHOOD is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Neither chimney nor hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Chimney
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1749" name="C_COOKWHERE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Where cooking is usually done
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COOKWHERE (HV241) reports whether food for the household was cooked inside the dwelling unit, in a separate building, or outdoors.  

If cooking is done over an open fire, then household members' exposure to indoor air pollution (and associated risk of respiratory diseases) is greatest when cooking is done in the house, rather than in a separate building or outdoors.

The information in COOKWHERE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          In the house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          In a separate building
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Outdoors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1750" name="C_TOILETTYPE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of toilet facility
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TOILETTYPE (HV205) reports the household's type of toilet facility, with no facility coded "0."  Responses vary widely across surveys; see Comparability.

The information in TOILETTYPE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          FLUSH TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Unspecified type of flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Own flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1112
        </catValu>
        <labl>
          Outside residence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Shared flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1121
        </catValu>
        <labl>
          Public flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Modern flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Flush to piped sewer system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Flush to pipe connected to canal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Flush to pipe connected to ground water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1213
        </catValu>
        <labl>
          Flush, not to sewer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1214
        </catValu>
        <labl>
          Flush to septic tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Traditional with tank flush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Bucket flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1410
        </catValu>
        <labl>
          Flush to pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1420
        </catValu>
        <labl>
          Flush to somewhere else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1430
        </catValu>
        <labl>
          Flush, don't know where
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          NON-FLUSHING TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Composting toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Dry toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Ecosan toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PIT TOILET LATRINE
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Unspecified type of pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Own pit toilet or latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Shared pit toiletor latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Public pit toilet or latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Traditional pit toilet or latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Pit latrine without slab or open pit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Uncovered pit latrine, no slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Pit latrine with slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Pit latrine with washable slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Pit latrine with non-washable slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Ventilated improved pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3410
        </catValu>
        <labl>
          Covered pit latrine, no slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3420
        </catValu>
        <labl>
          Covered pit latrine with slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3430
        </catValu>
        <labl>
          Covered latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3440
        </catValu>
        <labl>
          Septic pit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3450
        </catValu>
        <labl>
          Latrine with manual flush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3460
        </catValu>
        <labl>
          Other improved system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          UNIMPROVED TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Bucket toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          River
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Hanging latrine over water source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1751" name="C_TOILETSHAREYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Household shares toilet facility
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TOILETSHAREYN (HV225) indicates whether the household has a toilet facility that is shared with at least one other household.  A "no" response (code "0") indicates the household has a toilet that is not shared; a "yes" response (code "1") indicates the household shares a toilet facility; "not in universe" (code "9") means the household has no toilet facility.

The information in TOILETSHAREYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1752" name="C_DRINKWTR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Major source of drinking water
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DRINKWTR (HV201) reports the household's main source of drinking water.  Responses vary widely across surveys; see Comparability.

The information in DRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PIPED WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Piped into own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Piped into own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Piped into own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Piped outside own residence/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Public tap/standpipe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Public tap from filtration plant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Public tap from stone pipes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Piped into neighbor's dwelling/yard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          WELL WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Unprotected/open well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Open well in own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Open well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Open well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Open public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Open well in neighbor's residence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Protected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Protected well in own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Protected well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Protected well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Protected well in neighbor's residence/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Protected public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Tube well or borehole
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2231
        </catValu>
        <labl>
          Borehole in yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2232
        </catValu>
        <labl>
          Public borehole
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Unspecified well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Unspecified well in residence/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Unspecified well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Unspecified well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Handpump in yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Unspecified public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Public shallow well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Public traditional well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Public handpump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Unspecified neighbor's well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Unspecified well by type
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2341
        </catValu>
        <labl>
          Well with pump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2342
        </catValu>
        <labl>
          Well without pump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          SURFACE WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Spring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Protected spring/surface water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Unprotected spring/surface water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          River/dam/lake/ponds/streams/canal/irrigation channel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          River, stream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Pond, lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          Dam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3240
        </catValu>
        <labl>
          Canal or river/canal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3250
        </catValu>
        <labl>
          Irrigation ditch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3260
        </catValu>
        <labl>
          Dugout pond
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Channeled by gravity flow scheme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RAINWATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Rainwater collected in tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          PURCHASED FROM SUPPLIER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Tanker truck
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Cart with small tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Water vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5310
        </catValu>
        <labl>
          Water vendor from unknown source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5320
        </catValu>
        <labl>
          Water vendor from protected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5330
        </catValu>
        <labl>
          Water vendor from unprotected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5340
        </catValu>
        <labl>
          Water vendor from pond/lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Bottled water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5410
        </catValu>
        <labl>
          Sachet water (in a bag)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5500
        </catValu>
        <labl>
          Community reverse osmosis plant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          OTHER SOURCE
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1753" name="C_WTRLOCATED" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH water source located in dwelling, plot, or elsewhere
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WTRLOCATED (HV235) indicates whether the main source of water for the household is located in the dwelling, in the household's yard or plot of land, or elsewhere. 

The information in WTRLOCATED is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Water from own dwelling or plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Water located in respondent's own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Water located in respondent's own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Water located elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          River
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Well outside plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other, elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1754" name="C_TIMETOWTRIND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Time to water source (from individual respondent record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMETOWTRIND (V115) reports the amount of time, in minutes, to get to the household's major source of water, top-coded at 360+ minutes. This information is taken from the individual woman's record.

The complementary variable TIMETOWTRHH (HV204) reports the same information, taken from the household record.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 (on premises)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
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          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          One day or longer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          On premises
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1755" name="C_TIMETOWTRHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Time to reach water source and return, in minutes (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMETOWTRHH (HV204) reports the time in minutes it takes members of the household to get to their main source of water and return to their dwelling.  In IPUMS-DHS, this variable is top-coded at 360 minutes or more (6 hours or longer).

The information in TIMETOWTRHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
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      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          On premises
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1756" name="C_TREATWTRYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Household uses any method to treat drinking water
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TREATWTRYN (HV237) indicates whether the household used any treatment to make water safer to drink.

The information in TREATWTRYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1757" name="C_TRBLEACH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Adding bleach/chlorine
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRBLEACH (HV237B) indicates whether the household added bleach or chlorine to make water safer to drink.

The information in TRBLEACH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1758" name="C_TRBOIL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Boiling
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRBOIL(HV237A)  indicates whether the household boiled water to make it safer to drink.

The information in TRBOIL is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, most of the time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, some of the time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1759" name="C_TRCLOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Straining through cloth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRCLOTH (HV237C) indicates whether the household strained water through cloth to make the water safer to drink.

The information in TRCLOTH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1760" name="C_TRFILTER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Using water filters
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRFILTER (HV237D) indicates whether the household used a water filter to make water safer to drink.

The information in TRFILTER is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1761" name="C_TRSOLAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Solar disinfection
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRSOLAR (HV237E) indicates whether the household used solar disinfection to make water safer to drink.

The information in TRSOLAR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1762" name="C_TRSTAND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Letting it stand
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRSTAND (HV237F) indicates whether the household let water stand to settle impurities, to make the water safer to drink.

The information in TRSTAND is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1763" name="C_TROTHER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Other methods
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TROTHER (HV237X) indicates whether the household used some "other" treatment to make water safer to drink. The meaning of other depends on the specific water treatment methods enumerated in a given survey.

The information in TROTHER is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1764" name="C_TRDK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Don't know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRDK (HV237Z) indicates whether the respondent did not know what treatment, if any, the household used to make water safer to drink.

The information in TRDK is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1765" name="C_WHOFETCHAGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age of household member who fetches water
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHOFETCHAGE (HV236) reports, in broad age and sex categories, the person who usually fetched water for households that used a water source not accessible in their own dwelling or yard.  Responses vary across samples; see Comparability.

The information in WHOFETCHAGE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Person age 18+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Adult woman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Adult woman with child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Adult man
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Person age 15-17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Female age 15-17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Male age 15-17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Person under age 15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Female child under 15 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Male child under 15 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Female and male child under 15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Other/not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Any household member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Water vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Vendor using animal transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Vendor using truck
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1766" name="C_HHPHONE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Household has telephone
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHPHONE (V153) indicates whether the household has a telephone. How the question was worded changed over time. See Comparability. The related variable MOBPHONE covers the household's access to a mobile phone, specifically.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1767" name="C_HHPHONEHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        House has telephone (household record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHPHONEHH (HV221) indicates whether any member of the household has a telephone (based on information from the household record).   

The information in HHPHONEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1768" name="C_MOBPHONE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has mobile phone
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MOBPHONE indicates whether the household had a mobile/cellular telephone.

The related variable HHPHONE indicates whether the household had a telephone, regardless of the type of phone, or had a non-mobile phone.

The information in MOBPHONE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1769" name="C_BIKE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has bicycle
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIKE (V123) indicates whether any member of the household has a bicycle.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1770" name="C_BIKEHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has bicycle (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIKEHH (HV210) indicates whether any member of the household has a bicycle. 

The information in BIKEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1771" name="C_CAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has car/truck
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CAR (V125) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1772" name="C_CARHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has car/truck (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CARHH (HV212) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability. 

The information in CARHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1773" name="C_MOTORCYCL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has motorcycle/scooter
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MOTORCYCL (V124) indicates whether any member of the household owns a motorcycle or scooter.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1774" name="C_MOTORCYCLHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has motorcycle/scooter (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MOTORCYCLHH (HV211) indicates whether any member of the household owns a motorcycle or scooter.

The information in MOTORCYCLHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1775" name="C_FRIDGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has refrigerator
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FRIDGE (V122) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or must be owned by the household. See comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1776" name="C_FRIDGEHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has refrigerator (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FRIDGEHH (HV209) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or owned by the household. See Comparability.

The information in FRIDGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1777" name="C_RADIO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has radio
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RADIO (V120) indicates whether the household has a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1778" name="C_RADIOHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has radio (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RADIOHH (HV207) indicates whether any member of the household owns a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.

The information in RADIOHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1779" name="C_TELEVISION" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has television
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TELEVISION (V121) indicates whether the household has a television. Some samples specified that the TV must be in working order. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1780" name="C_TVHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has television (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TVHH (HV208) indicates whether any member of the household has a television. Some samples specified that the TV must be in working order. See Comparability.

The information in TVHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1781" name="C_WATCHCLOCK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has watch or clock
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WATCHCLOCK indicates whether the household has access to a timepiece, either a watch or a clock. The related variable CLOCKONLY indicates whether the household has a clock. See Comparability.

The information in WATCHCLOCK is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1782" name="C_BED" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has bed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BED indicates whether the household had a bed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1783" name="C_SOFA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has sofa
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SOFA indicates whether the household had a sofa or "sofa set."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1784" name="C_TABLECHARYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has table and chairs
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TABLECHARYN indicates whether the household has a table and chairs. 

The information in TABLECHARYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1785" name="C_PARALAMPYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has paraffin/kerosene lamp
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PARALAMPYN indicates whether the household has a lamp that uses paraffin (kerosene) as fuel. 

The information in PARALAMPYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1786" name="C_OPARALAMPYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has paraffin lamp other than koloboyi
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OPARALAMPYN indicates whether the household has some paraffin lamp other than a koloboyi.  The related variable PARALAMPYN also covers household possession of a paraffin lamp, including a koloboyi (for Malawi specifically).

The information in OPARALAMPYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1787" name="C_BANKACC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has bank account
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BANKACC (HV247) indicates whether any member of the household has a bank account.

The information in BANKACC is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1788" name="C_AGLANDYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH owns land for agriculture (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGLANDYN (HV244) indicates whether any member of the household owned (or had use of) agricultural land. Question wording varies across samples; see Comparability.

The information in AGLANDYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1789" name="C_DRAWNCART" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH has animal-drawn cart
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DRAWNCART indicates whether a household member owned an animal-drawn cart. Question wording varied across samples; see Comparability.

The information in DRAWNCART is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1790" name="C_LIVESTOCKYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH owns livestock
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LIVESTOCKYN (HV246) indicates whether the household owned any livestock, herds, other farm animals, or, in some surveys, poultry.  This question was frequently included as a filter, to determine whether the respondent should be asked more specific questions about the household's ownership of specific types of animals or poultry.

The information in LIVESTOCKYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1791" name="C_CATTLEYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH owns cattle (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CATTLEYN indicates whether household owned any cattle. In some cases, the question referred specifically to local or indigenous cattle; see Comparability.  The complementary variable CATTLENUM reports the number of cattle owned by the household.

The information in CATTLEYN is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1792" name="C_CATTLENUM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of cattle owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CATTLENUM reports the number of cattle owned by the household.  In some cases, the question referred specifically to local or indigenous cattle; see Comparability.  The complementary variable CATTLEYN indicates whether household owned any cattle.

The information in CATTLENUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1793" name="C_SHEEPYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH owns sheep (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SHEEPYN indicates whether the household owned sheep.  The complementary variable SHEEPNUM reports the number of sheep owned by the household.

The information in SHEEPYN is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1794" name="C_SHEEPNUM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of sheep owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SHEEPNUM reports the number of sheep owned by the household.  The complementary variable SHEEPYN indicates whether household owned any sheep.

The information in SHEEPNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1795" name="C_GOATYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH owns goats (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GOATYN indicates whether the household owned goats.  The complementary variable GOATNUM reports the number of goats owned by the household.

The information in GOATYN is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1796" name="C_GOATNUM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of goats owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GOATNUM reports the number of goats owned by the household.  The complementary variable GOATYN indicates whether household owned any goats.

The information in GOATNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1797" name="C_PIGYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH owns pigs (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PIGYN indicates whether the household owned any pigs. The complementary variable PIGNUM reports how many pigs the household owned.

The information in PIGYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1798" name="C_PIGNUM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of pigs owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PIGNUM reports the number of pigs owned by the household. The complementary variable PIGYN indicates whether the household owned any pigs.

The information in PIGNUM is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1799" name="C_OTHERANYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        HH owns animals of some other type (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OTHERANYN indicates whether the household owns any other type of animals or livestock. The meaning of "other" depends on the specific animals asked about in a given sample. 

The information in OTHERANYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1800" name="C_OTHERANNUM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of animals of some other type owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OTHERANNUM reports the number of "other" animals owned by the household. The meaning of "other" depends on the specific animals asked about in a given sample. The related variable OTHERANYN indicates whether the household has any "other" animals.

The information in OTHERANNUM is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
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          0
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          0
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          1
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          1
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          2
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          2
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          3
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        </catValu>
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          49
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        <catValu>
          63
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        <labl>
          63
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          64
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        <labl>
          64
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          65
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          68
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          72
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          75
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          77
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          77
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          78
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        <labl>
          78
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          79
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        <labl>
          79
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          80
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          80
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          81
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          82
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        <labl>
          82
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          83
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        <labl>
          83
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      <catgry>
        <catValu>
          84
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        <labl>
          84
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      <catgry>
        <catValu>
          85
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        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          More than 95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1801" name="C_CHICKNUM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of chickens owned by HH (topcoded)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHICKNUM reports the number of chickens owned by the household. In some cases, the question referred to other domestic fowl, as well; see Comparability.  The complementary variable CHICKYN indicates whether household owned any chickens.

The information in CHICKNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
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          0
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          0
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        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
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        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
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        <labl>
          3
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      </catgry>
      <catgry>
        <catValu>
          4
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        <labl>
          4
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        <catValu>
          5
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        <labl>
          5
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      </catgry>
      <catgry>
        <catValu>
          6
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        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
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        <labl>
          7
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      </catgry>
      <catgry>
        <catValu>
          8
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        <labl>
          8
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      </catgry>
      <catgry>
        <catValu>
          9
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        <labl>
          9
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          10
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          10
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        <catValu>
          11
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          11
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          12
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          13
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        <labl>
          13
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        <catValu>
          14
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        <labl>
          14
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          15
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        <labl>
          15
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      <catgry>
        <catValu>
          16
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        <labl>
          16
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      <catgry>
        <catValu>
          17
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        <labl>
          17
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      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
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      <catgry>
        <catValu>
          19
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        <labl>
          19
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      </catgry>
      <catgry>
        <catValu>
          20
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        <labl>
          20
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      <catgry>
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          21
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        <labl>
          21
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          22
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          22
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          23
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          23
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          24
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          24
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          25
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          25
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          26
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          26
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          27
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          27
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          28
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          28
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          29
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          29
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        <catValu>
          30
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          30
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        <catValu>
          31
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        <labl>
          31
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        <catValu>
          32
        </catValu>
        <labl>
          32
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        <catValu>
          33
        </catValu>
        <labl>
          33
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        <catValu>
          34
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        <labl>
          34
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        <catValu>
          35
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        <labl>
          35
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      <catgry>
        <catValu>
          36
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        <labl>
          36
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      <catgry>
        <catValu>
          37
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        <labl>
          37
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      <catgry>
        <catValu>
          38
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          38
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      <catgry>
        <catValu>
          39
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        <labl>
          39
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      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1802" name="C_SALTBRIDGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Iodized salt in household (bridging variable)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SALTBRIDGE serves as a bridging variable between two approaches to collecting information on the presence of iodized salt in the household. Initially, respondents were asked, "What type of salt is usually used for cooking in your household?" Respondents were also asked to show their salt package to the interviewer.

Beginning with Phase 4 of the standard DHS questionnaire, respondents were asked to provide the interviewer with a teaspoon of cooking salt, which the interviewer then tested. Iodine testing methods varied across phases and countries. 

SALTBRIDGE combines information from the first approach of asking about cooking salt (in SALTIODIZE (HV222)) and the second approach of testing the cooking salt for iodine (in SALTEST3 (HV234)).

The information in SALTBRIDGE is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT (V135) variable (with visitors coded "2").

See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Iodized salt in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Packaged salt - iodized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Non-iodized salt in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Packaged salt - noniodized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Salt not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Local salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Loose salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Salt for animals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Natron in block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Packaged salt - other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Other, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Doesn't cook
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing/no salt available
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nutrition Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1803" name="C_SALTRESULT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Results of salt iodine test (from individual record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SALTRESULT (V166) reports the results of the salt iodine test, with information recorded on the individual person's record.

The following related variables, taken from the household record, report the results of the salt iodine test and are separated according to the type of test:

SALTEST1 (HV234) reports the iodine level in the household's cooking salt, using grouped values of 0 PPM, 7 PPM, 15 PPM or less, 15PPM or more, and 30 PPM.
SALTEST2 reports the iodine level in the household's cooking salt, using grouped values of 0 PPM, 1-25 PPM, 26-50 PPM, 51-75 PPM, and 76-100 PPM.
SALTEST3 (HV234A) indicates whether the household's cooking salt tested positive for iodine.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 ppm (No iodine)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          1-25 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          7 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          LT 15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          LE 15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          GE 15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          26-50 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          30 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          51-75 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          1-75 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          76-100 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Salt not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          No salt in the household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nutrition Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1804" name="C_SALTEST1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Iodine level in HH salt, first grouping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SALTEST1 (HV234) reports the iodine level in the household's cooking salt, using grouped values. The levels are grouped based on PPM (parts per million). 

Universal salt iodization is recommended (by the World Health Organization and UNICEF) to prevent and correct iodine deficiency disorders (including goiter, hypothyroidism, deaf-mutism, mental retardation, dwarfism, stillbirth, and congenital abnormalities). However, unnecessarily high levels of iodine in salt may lead to occasional cases of hyperthyroidism.

The information in SALTEST1 is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.

The related variables SALTEST2 and SALTEST3 (HV234A) also report iodine levels in cooking salt, but with different groupings.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          7 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Less than 15 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          15 PPM or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          30 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Salt not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          No salt in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nutrition Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1805" name="C_BEDNETHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Household has bednet for sleeping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETHH (HV227) indicates whether the household has at least one mosquito bed net for use while household members are sleeping. 

The information in BEDNETHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1806" name="C_BEDNETNUM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of mosquito nets owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETNUM (HML1) reports how many mosquito nets were owned by the household. 
Responses were topcoded at 7+ bednets. Because of topcoding, the number of reported bednets cannot be meaningfully compared to the number of household members.

The information in BEDNETNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1807" name="C_BEDNETKIDLT5" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Children under 5 slept under bednet last night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETKIDLT5 (HV228) indicates whether any, some, or all of the children in the household under age five slept under a bed net the previous night.


Apart from universe differences, BEDNETKIDLT5 (HV228) has no comparability problems.

Comparability - Standard DHS

BEDNETKIDLT5 (HV228) is included in Phase IV forward of the standard DHS questionnaire.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          All children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Some children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          No net in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1808" name="C_BEDNETKIDS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of children under bednet previous night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDNETKIDS (HML2) reports the number of children in the household who slept under a mosquito net the previous night.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1809" name="C_BEDNETWINF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of mosquito nets with specific information
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDNETWINF (HML1A) reports the number of mosquito nets with specific information the household has. Specific information can be related to the type (permanent/long-lasting insecticide-treated or pretreated) or the brand of the net.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1810" name="C_CURRWORK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Currently working
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CURRWORK (V714) indicates whether the woman is currently working at a job or business. To distinguish employment from household labor, many surveys included a preface such as the following: "As you know, some women take up jobs for which they are paid in cash or in kind. Others sell things, have a small business or work on the family farm or in the family business." Women who have worked outside of their own housework in the last 12 months and been paid in cash, cash and in-kind, or only in-kind payments are included as working, although the survey questions vary in who receives an affirmative response. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, prompted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1811" name="C_JOBABSENT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman has job from which she was absent in past week
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who did not work in the past 7 days, JOBABSENT (V714A) indicates whether the woman had a job or business from which she was temporarily absent, due to leave, illness, vacation, maternity leave, or other reasons.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1812" name="C_WKCURRJOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman's occupation
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WKCURRJOB (V717) reports the occupation of the respondent in somewhat standardized categories. The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples. IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broad job categories) without loss of detailed information (preserved in the second digit).

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not currently working
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Professional, technical, or managerial worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Clerical or Sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Clerical worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sales worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Self-employed agricultural worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Agricultural employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Household, domestic, and services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Household and domestic worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Services worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Skilled and unskilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Skilled manual worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Unskilled manual worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1813" name="C_WHOWORKFOR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Whom the respondent works for
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WHOWORKFOR (V719) indicates whether the respondent works for a family member, for someone else, or is self-employed.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Works for self
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Works for someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          For family member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          For someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Works for self and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1814" name="C_WKWORKLASTYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Respondent worked recently
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKWORKLASTYR (V731) indicates whether the respondent worked recently (i.e., was currently working, was on leave from a job in the past 7 days, or worked in the past year).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Worked in the past year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Currently working
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Has a job, but on leave last 7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1815" name="C_WKEMPLOYWHEN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Respondent works all year, seasonally, or occasionally
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKEMPLOYWHEN (V732) indicates whether the woman works throughout the year, seasonally, or occasionally.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          All year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Less than all year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Most of the year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Part of the year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Seasonally
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Occasionally
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Temporary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1816" name="C_WKTYPELAND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of land where respondent works
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKTYPELAND (V740) reports the type of land where the respondent has done agricultural work (currently or in the last 12 months).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Own land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Family land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Someone else's land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Rented land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other responses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Public land/govt allocation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Communal land/shifting cultivation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Sharecropper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Other, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1817" name="C_WKEARNTYPE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of earnings for respondent's work
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKEARNTYPE (V741) reports the type of earnings for the respondent's work.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not paid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Paid in cash only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Paid in cash and in kind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Paid in kind only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1818" name="C_HUSJOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Partner's occupation
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HUSJOB (V705) reports the occupation of the woman's husband/partner in somewhat standardized categories.  The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples.  IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broader job categories) without loss of detailed information (preserved in the second digit).  

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Did not work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Not working, student or applicant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Prof., Tech., Manag.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Clerical or Sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Clerical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Agricultural, breeding, fishing, forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Agriculture, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Agriculture, employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Household, domestic, and services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Household and domestic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled and unskilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Skilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Unskilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1819" name="C_WKEARNSMORE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman's earnings relative to husband/partner's earnings
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKEARNSMORE (V746) indicates whether the woman earns more money, less money, or about the same amount of money as her husband/partner.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          More than him
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Less than him
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner has no earnings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1820" name="C_WEALTHQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Household wealth index in quintiles
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WEALTHQ (V190) refers to the relative wealth of the household where the woman lives, divided into quintiles from the poorest (code 1) to the richest (code 5).  The wealth index is defined in the DHS Recode Manuals as follows:


The wealth index is a composite measure of a household's cumulative living standard. The wealth index is calculated using easy-to-use data on a household's ownership of selected assets, such as televisions and bicycles; materials used for housing construction; and types of water access and sanitation facilities.  



Generated with a statistical procedure known as principal components analysis, the wealth index places individual households on a continuous scale of relative wealth. DHS separates all interviewed households into five quintiles of wealth.


For additional information about the calculation and meaning of the wealth index, users should consult the summary information about the wealth index on The DHS Program website here [URL omitted from DDI.] and/or the DHS Comparative Report on "The DHS Wealth Index" here [URL omitted from DDI.].

The complementary variable WEALTHS reports the wealth index factor score for the woman's household in a specific sample.  WEALTHQ and WEALTHS are included on the woman's record for Phase 5 forward only.  IPUMS-DHS has made available these variables for Phase 2 forward, by linking the wealth index files to the woman's individual recode files.

The variables used to calculate wealth index quintiles and the level of wealth implied by a specific ranking are sample-specific.  See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Poorest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Poorer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Middle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Richer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Richest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Wealth index Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1821" name="C_WEALTHS" files="F2" dcml="0" intrvl="contin">
      <labl>
        Wealth index factor score (5 decimals)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WEALTHS (V191) refers to the household's wealth index value generated by the product of standardized scores (z-scores) and factor coefficient scores (factor loadings) of wealth indicators. Most researchers will want to use instead the complementary variable WEALTHQ (V190), which reports quintile ranking (from poorest to richest) of the woman's household, in terms of wealth score, for a given sample. 

For further information about the calculation and meaning of the wealth index, see the description of WEALTHQ, the summary information about the wealth index on the DHS Program website here [URL omitted from DDI.] and/or the DHS Comparative Report on "The DHS Wealth Index" here [URL omitted from DDI.].

The variables used to calculate wealth index scores are sample-specific. See Comparability.]]>
      </txt>
      <codInstr>
        WEALTHS (V191) is a 12-digit numeric variable.
      </codInstr>
      <concept vocab="IPUMS">
        Wealth index Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1822" name="C_WHOPROP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Who received most of late husband's property
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently widowed, WHOPROP (V539) reports who received most of their late husband's assets and valuables. Women who were not the main beneficiary were asked a follow-up question about whether they received any of the late husband's assets or valuables; see ANYPROP.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other wife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Spouse's children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Spouse's family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Respondent's children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Unrelated person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Equal share with others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          No property
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1823" name="C_NOPROPLEGAL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Legal support after not receiving late husband's property
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NOPROPLEGAL indicates whether an ever-widowed woman received legal support or assistance after she did not receive most of her late husband's land and possessions.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1824" name="C_FEMOWNHOUSE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman owns house alone or jointly
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FEMOWNHOUSE (V745A) indicates whether the woman owns a house alone or jointly with someone else.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Does not own
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Owns alone only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Owns jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Owns jointly only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Owns both alone and jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1825" name="C_FEMOWNLAND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman owns land alone or jointly
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FEMOWNLAND (V745B) indicates whether the woman owns land alone or jointly with someone else.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Does not own land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Owns alone only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Owns jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Owns jointly only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Owns both alone and jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1826" name="C_LIT2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Literacy, based on reading passage
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LIT2 (V155) indicates whether the woman could read. This variable is available beginning with Phase 4 of the DHS.

Persons with less than secondary school education were asked to demonstrate their literacy level by reading aloud a sentence on a card and were classified as "cannot read at all," "able to read only parts of sentence," and "able to read whole sentence."  As with LIT1 (V108), those with secondary or higher schooling were presumed to have attained the highest literacy level.       

For Phases 1-3 of the DHS, information on literacy was collected using a different approach, by simply asking whether the person could read (LIT1). See LITBRIG for information about using the data on literacy across all phases of the DHS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Cannot read at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Reads
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Able to read only part of sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Able to read whole sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not ascertained (blind, diff. language)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          No card with required language
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Blind or visually impaired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1827" name="C_LITBRIG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Literacy bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LITBRIG serves as a bridging variable between two approaches to collecting information on literacy.  Initially, respondents were asked, "Can you read a letter or newspaper easily, with difficulty, or not at all?"  In many countries, persons with secondary or higher levels of schooling were presumed to "read easily," but coding criteria varied across countries. 

Beginning with Phase 4 of the DHS, persons with less than secondary school education were asked to demonstrate their literacy level by reading aloud a sentence on a card and were classified as "cannot read at all," "able to read only parts of sentence," and "able to read whole sentence."  As before, those with secondary or higher schooling were presumed to have attained the highest literacy level.       

LITBRIG combines information from the first approach of asking about literacy (in LIT1 [V108]) and the second approach of testing literacy based on reading a sentence aloud (in LIT2 [V155]).  

See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, reads
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Reads easily/whole sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Reads with difficulty/part of sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          No, cannot read
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Not ascertained (blind or diff. language)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          No card with required language
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Blind or visually impaired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1828" name="C_LITPROGRAMEV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Respondent ever attended literacy program
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LITPROGRAMEV (V156) indicates whether the respondent ever participated in a literacy program or any other program that involves learning to read and write (not including primary school).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1829" name="C_EDUCLVL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Highest educational level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who ever went to school, EDUCLVL (V106) reports the highest level of school they attended. Countries vary in the gradations of their school systems, but EDUCLVL is a standardized variable reporting level of education in four broad categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1830" name="C_YRSCHL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Highest year of education in level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who ever attended school, YRSCHL (V107) reports the number of years of education completed at the highest level of schooling achieved (primary, secondary, or higher), as reported in EDUCLVL (V106). See Comparability.

For the woman's total years of education, see EDYRTOTAL (V133).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1831" name="C_EDYRTOTAL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total years education
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDYRTOTAL (V133) reports the woman's education level in single years. This variable is constructed from responses to EDUCLVL (V106) and YRSCHL (V107) as follows:

If EDUCLVL = "No education," EDYRTOTAL = "0"
If EDUCLVL = "Primary," EDYRTOTAL = YRSCHL
If EDUCLVL = "Secondary," EDYRTOTAL = YRSCHL + x
If EDUCLVL = "Higher," EDYRTOTAL = YRSCHL + y
If EDUCLVL = "Missing," EDYRTOTAL = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1832" name="C_EDACHIEVER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Summary educational achievement
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDACHIEVER (V149) is a summary variable that reports the woman's highest level of education in broad categories. Countries vary in the gradations of their school systems, but EDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher.

EDACHIEVER is constructed from information contained in EDUCLVL (V106) and YRSCHL (V107).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Incomplete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Complete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Incomplete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Complete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1833" name="C_HUSEDLVL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Partner's educational level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had ever been married or lived with a man, HUSEDLVL (V701) reports the highest level of school attended by their most recent husband/partner. Countries vary in the gradations of their school systems, but HUSEDLVL is a standardized variable reporting the level of education in four categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1834" name="C_HUSEDYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Partner's highest year of education in level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women whose most recent husband/partner had ever attended school, HUSEDYR (V702) reports the number of years of schooling completed by their husband/partner at the educational level (primary, secondary, or higher) reported in HUSEDLVL (V701).

For the husband's total years of education, see HUSEDYRS (V715).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1835" name="C_HUSEDYRS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Partner's education in total years schooling
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had ever been married or lived with a man, HUSEDYRS (V715) reports the education of the woman's most recent husband/partner in single years. This variable is constructed from responses to HUSEDLVL (V701) and HUSEDYR (V702) as follows:

If HUSEDLVL = "No education," HUSEDYRS = "0"
If HUSEDLVL = "Primary," HUSEDYRS = HUSEDYR 
If HUSEDLVL = "Secondary," HUSEDYRS = HUSEDYR + x
If HUSEDLVL = "Higher," HUSEDYRS = HUSEDYR + y
If HUSEDLVL = "Missing," HUSEDYRS = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1836" name="C_HUSEDACHIEVER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Husband's summary educational achievement
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HUSEDACHIEVER (V729) is a summary variable that reports the highest level of education in broad categories for the woman's husband/partner. Countries vary in the gradations of their school systems, but HUSEDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher. 

HUSEDACHIEVER is constructed from information contained in the HUSEDLVL (V701) and HUSEDYR (V702) variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Incomplete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Complete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Incomplete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Complete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1837" name="C_NEWSFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency of reading newspaper or magazine
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NEWSFQ (V157) reports how often the woman usually reads a newspaper or magazine (not at all, less than once a week, once a week or more often, or almost every day). 

For a potentially comparable variable asking whether the woman reads the newspaper or a magazine at least once a week, see NEWSWK (V109). For a variable bridging NEWSFQ and NEWSWK, see NEWSBRIG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Once a week or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1838" name="C_NEWSBRIG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reads newspaper: Bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NEWSBRIG serves as a bridging variable between two approaches to collecting information on exposure to newspapers and magazines.  For DHS Phases 1-3, respondents were asked whether they read a newspaper or magazine at least once a week (NEWSWK (V109)).  Beginning in DHS Phase 4, respondents were asked how often they read newspapers or magazines (NEWSFQ (V157)). 

NEWSBRIG uses composite coding to combine data from these two approaches. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No, not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1839" name="C_TVFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency of watching television
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TVFQ (V159) reports how often the woman usually watches television (not at all, less than once a week, at least once a week, or almost every day).

For a comparable variable asking whether the woman watches television at least once a week, see TVWK (V110). For a variable bridging TVFQ and TVWK (V110), see TVBRIG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Once a week or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1840" name="C_TVBRIG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Watches television: Bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TVBRIG serves as a bridging variable between two approaches to collecting information on exposure to television.  For DHS Phases 1-3, respondents were asked whether they watch television at least once a week (TVWK (V110)).  Beginning in DHS Phase 4, respondents were asked how often they watch television (TVFQ (V159)). 

TVBRIG uses composite coding to combine data from these two approaches; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No, not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1841" name="C_RADIOFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency of listening to radio
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RADIOFQ (V158) reports how often the woman usually listens to the radio (not at all, less than once a week, at least once a week, or almost every day).

For a comparable variable that asks about whether the woman listens to the radio at least once a week, see RADIOWK (V112). For a variable bridging RADIOFQ and RADIOWK (V112), see RADIOBRIG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Once a week or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1842" name="C_RADIOBRIG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Listens to radio: Bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RADIOBRIG serves as a bridging variable between two approaches to collecting information on exposure to the radio.  For DHS Phases 1-3, respondents were asked whether they listen to the radio at least once a week (RADIOWK (V112)).  Beginning in DHS Phase 4, respondents were asked how often they listen to the radio (RADIOFQ (V158)). 

RADIOBRIG uses composite coding to combine data from these two approaches; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1843" name="C_DECBIGHH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Final say on making large household purchases
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECBIGHH (V743B) indicates who in the woman's household usually makes decisions regarding large household purchases.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Other senior male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Other senior female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Family elders/relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1844" name="C_DECDAILYPUR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Final say on household purchases for daily needs
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECDAILYPUR (V743C) indicates who in the woman's household usually makes decisions regarding household purchases for daily needs.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1845" name="C_DECFAMVISIT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Final say on visits to family or relatives
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECFAMVISIT (V743D) indicates who in the woman's household usually makes decisions regarding (the woman's) visits to family or relatives.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Family elders/relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1846" name="C_DECFEMEARN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Final say on spending woman's earnings
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have worked in the last 12 months and were paid in cash or in cash and in kind in the last 12 months, DECFEMEARN (V739) indicates who in the woman's household usually makes decisions regarding how the income she earns is spent.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mother or father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Aunt or uncle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Family elders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Someone else, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other or not applciable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1847" name="C_DECHUSEARN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Final say on spending husband's earnings
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently married or living with a man, DECHUSEARN (V743F) indicates who in the woman's household usually makes decisions regarding how the income her husband or partner earns is spent.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Family elders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Someone else, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Husband/partner has no earnings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1848" name="C_DECFEMHCARE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Final say on woman's health care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECFEMHCARE (V743A) indicates who in the woman's household usually makes decisions regarding the woman's own healthcare.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other/not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Family elders/relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1849" name="C_FERTPREF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Fertility preferences
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For countries with low contraceptive prevalence, FERTPREF (V602) reports responses to the question, "Would you like to have a (another) child or would you prefer not to have any (more) children"?  The standard response categories are "have another," "no more/none," "says she can't get pregnant," and "undecided or don't know."   

In Phase I, FERTPREF (V602), was constructed from two questions in countries with high contraceptive prevalence (Model "A" questionnaires). Women who responded that they want another child, but when asked when they would like the next child, respond that they cannot get pregnant, are classified in the "declared infecund category," and not in the "Wants another" category. 

Some samples also include the response "up to God." More detailed responses under the general category "says she can't get pregnant" are sometimes available. In IPUMS-DHS, all responses in the general category of "not at risk of pregnancy" share a common first digit of 5, while the second digit distinguishes between the specific reasons.  In some countries, women who never had sexual intercourse (coded as "53" in IPUMS-DHS) were not asked the questions relating to their desire for future children.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Have another
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Undecided
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          No more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Not at risk of pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Sterilized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Declared infecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1850" name="C_UNMETNEED" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Unmet need for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[UNMETNEED (V624) is a constructed variable that reports a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The following describes the constructed categories in more detail:

Unmet need for spacing includes pregnant women whose pregnancy was mistimed, postpartum amenorrheic women whose last birth was mistimed, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and say they want to wait two or more years for their next birth, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Unmet need for limiting includes pregnant women whose pregnancy was unwanted, postpartum amenorrheic women whose last birth was unwanted, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and who want no more children. 
Met need for spacing includes women who are using some method of family planning and say they want to have another child, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Met need for limiting includes women who are using family planning and who want no more children. 

Note that the specific methods (modern or traditional) are not taken into account here.

Met need describes women who have no need for contraceptive methods, either because they desire a child soon (within the next two years) or because they are menopausal or infecund. 

In high contraceptive prevalence countries (Model "A" countries), pregnant and postpartum amenorrheic women whose pregnancy was the result of a contraceptive failure are not included in the category of unmet need, but they are categorized as spacing failures or limiting failures. In low contraceptive prevalence countries (Model "B" countries), no such distinction is made, since information was not collected on contraceptive failure. Infecund women are also excluded from the unmet need categories.


The  "Online Guide to DHS Statistics" provides the following definitions:
  Fecundity:  A woman is assumed to be fecund unless she declares that she is infecund, had a hysterectomy, or is menopausic.  Women who are neither pregnant nor postpartum amenorrheic but who have not menstruated for six or more months, and married women who have not used contraception in the past five years but have not had a birth and are not pregnant, are also considered infecund.
 Failure to Space:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say they wanted the current pregnancy later.
 Failure to Limit:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say that they did not want another child before they became pregnant.

Excluded from the unmet need category are women who became pregnant while using a method (these women are in need of a better method of contraception).

The infecund or menopausal category on the UNMETNEED (V624) variable contains fewer cases than the EXPOSURE1 variable, because women who are categorized as infecund or menopausal, but are currently using a contraceptive method, are recorded in the two "met need" categories in UNMETNEED.


UNMETNEED (V624) incorporates responses to the following variables:

 [EXPOSURE1/V623], which reports the woman's exposure to the risk of pregnancy, defined as pregnant, postpartum amenorrheic, menopausal or infecund, and fecund. 
 [ V225], which reports whether a current pregnancy was wanted then, later or not at all (for women who were pregnant at the time of interview). 
 [KIDDESIRE/V605] ,which reports whether the woman wants more children and when she would like them.
 [FPMETHNOW/V312] which reports the woman's current use of contraception. 

Users are also encouraged to see details of this variable provided in the "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Has unmet need for FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unmet need to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Unmet need to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Now using FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Using to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Using to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Had FP failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Spacing failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Limiting failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Future need for FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          No sex, want to wait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Not at risk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Infecund or menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Not in union, not sexually active
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          No unmet need
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Desire birth in less than 2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1851" name="C_UNMETNEED2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Unmet need for FP (2nd def)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[UNMETNEED2 (V626) is a constructed variable that indicates a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  UNMETNEED2 is similar to UNMETNEED, but UNMETNEED2 differently categorizes women who are infecund or menopausal but are currently using a contraceptive method. 

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of UNMETNEED2 uses a definition of fecundity based on exposure status as reported in EXPOSURE2. UNMETNEED, by contrast, uses a definition of exposure status as reported in EXPOSURE1. See the descriptions of these two variables for discussion of their differences.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Has unmet need for FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unmet need to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Unmet need to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Now using FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Using to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Using to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Family limitation failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Spacing failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Limiting failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          No unmet need
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Desire birth in less than 2 yrs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Not at risk for pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Infecund, menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          No sex, want to wait/not married and no sex in last 30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1852" name="C_KIDDESIRE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Desire for more children
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[KIDDESIRE (V605) is a constructed variable that distinguishes between women who want another child soon (in less than two years), who want another child later (in 2+ years), who want no more children, and who aren't sure (about timing or about the number of children desired).  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of this variable has changed across phases of the DHS and varies across countries (only sometimes distinguishing between groups of women not at risk of pregnancy due to sterilization, infecundity, or virginity).  To maximize comparability across samples, IPUMS-DHS employs composite coding.  Women who want more children share a common first digit of 1, women not at risk of pregnancy share a common first digit of 6, and detail present in only some samples is specified in the code's second digit.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Wants more children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Wants within 2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Wants after 2+ years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Wants, unsure timing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Undecided
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Wants no more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Fatalistic response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Not at risk of pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Sterilized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Declared infecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1853" name="C_FPLCHDESIRE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Wanted last child
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPLCHDESIRE (V367) reports whether the woman's last born child was wanted at the time she got pregnant, was wanted but at a later time, or was not wanted at all. The cutoff point for when the woman's last child was born varies across samples; see Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Wanted last child then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wanted last child later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Wanted no more children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1854" name="C_PGDESIRE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Time wanted current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently pregnant, PGDESIRE (V225) reports whether, at the time of becoming pregnant, the woman wanted her pregnancy then, later, or not at all.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/Not sure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1855" name="C_IDEALKID" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[IDEALKID (V613) reports the ideal total number of children the woman would have liked to have in her whole life, regardless of her actual childbearing. The information is collected through hypothetical questions such as, "If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?" (for women with living children) or "If you could choose exactly the number of children to have in your whole life, how many would that be?" (for women without living children).

If the woman responded with a range of values, IDEALKID reports the midpoint between those values. According to the DHS Recode Manuals, "If the midpoint is not an exact number then the number is rounded up in half the cases and rounded down for the other half." The questionnaires included space for non-numeric "other" responses, such as "Up to God."

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Up to God/As Allah wills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          As many as can care for
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Doesn't want children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1856" name="C_IDEALKIDGRP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of children (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Like IDEALKID, IDEALKIDGRP (V614) reports the total number of children the woman would hypothetically like to have in her whole life, regardless of her actual childbearing, but top-codes numeric responses at 6+ children and codes non-numeric responses as 7.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          [no label]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1857" name="C_IDEALBOYS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of boy children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Based on a follow-up question to IDEALKID (V613), which collects information about the ideal number of children the woman would hypothetically want to have in her whole life, IDEALBOYS (V627) reports how many of these children would ideally be boys.

Numeric responses to IDEALBOYS (V627), IDEALGIRLS (V628), and IDEALBOTH  (V629) should sum to the total number of children in IDEALKID (V613).  Non-numeric responses (such as "up to God") are allowed for each of these variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Up to God/As Allah wills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          No sex preference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1858" name="C_IDEALGIRLS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of girl children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Based on a follow-up question to IDEALKID (V613), which collects information about the ideal number of children the woman would hypothetically want to have in her whole life, IDEALGIRLS reports how many of these children would ideally be girls.

Numeric responses to IDEALGIRLS (V628), IDEALBOYS (V627), and IDEALBOTH (V629) should sum to the total number of children in IDEALKID (V613).  Non-numeric responses (such as "up to God") are allowed for each of these variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          God's decision/Allah's will
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          No sex preference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1859" name="C_IDEALBOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of children of either sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Based on a follow-up question to IDEALKID (V613), which collects information about the ideal number of children the woman would hypothetically want to have in her whole life, IDEALBOTH (V629) reports the ideal number of children of either sex (i.e., with no gender preference).

Numeric responses to IDEALGIRLS (V628), IDEALBOYS (V627), and IDEALBOTH (V629) should sum to the total number of children in IDEALKID.  Non-numeric responses (such as "up to God") are allowed for each of these variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Up to God/As Allah wills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1860" name="C_IDEALBTHFUT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ideal time before future birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDEALBTHFUT (V616) reports how long the woman would like to wait before the birth of a/another child.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Months, unspecified number
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35+ years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, unspecified number
        </labl>
      </catgry>
      <catgry>
        <catValu>
          989
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          After finishing school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          After marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          When husband returns
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          After breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          At any time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Soon/now
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1861" name="C_PREFTIMECH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Preferred waiting time for birth of a(nother) child
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who want to have a/another child, PREFTIMECH (V603) reports the amount of time, in months or years, they would like to wait before the birth of a/another child (top-coded at 20 years). The complementary variable PREFTIMECH (V604) reports responses to the same question, but in terms of years only, top-coded at 6+ years. 

PREFTIMECH includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples, and the way this variable was asked and calculated also changed over time; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than one month (want now)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Months, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Less than one year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 years or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          987
        </catValu>
        <labl>
          After weaning
        </labl>
      </catgry>
      <catgry>
        <catValu>
          989
        </catValu>
        <labl>
          After finishing school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          When spouse returns
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          After marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Any time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Soon or immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Other, non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1862" name="C_PREFTIMECHGP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Preferred waiting time for birth of a(nother) child (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who want to have a/another child, PREFTIMECHGP (V604) reports the amount of time, in years, they would like to wait before the birth of a/another child, top-coded at 6+ years.  

PREFTIMECHGP includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples; see Comparability. 

The related variable PREFTIMECH presents the same information in greater detail, in terms of months or years, top-coded at 20 years.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 or more years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1863" name="C_FPDECIDER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Decision-maker for using FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women using family planning, FPDECIDER (V632) reports who decided on the use of contraception (mainly the woman, mainly her partner, joint decision, or someone else).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Mainly husband, partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mainly respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Joint decision
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1864" name="C_HUSFERTPREF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Husband's desire for children
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HUSFERTPREF (V621) reports whether the woman believes her partner wants the same number of children, more children, or fewer children than she wants.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Both want same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Husband wants more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Husband wants fewer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Both provided non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1865" name="C_FPHUSKNOUS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Husband knows respondent is using FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPHUSKNOUS (V634) indicates whether the woman's husband or partner knows that she is using a method of family planning.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1866" name="C_EXPOSURE1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Fecund, pregnant, amenorrheic, or infecund
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EXPOSURE1 (V623) is a constructed variable that draws upon responses to several questions to differentiate between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

According to the DHS Recode Manuals, these categories are actualized as follows:

Pregnant women
Postpartum amenorrheic women are those whose period has not returned since the last birth in the three/five years preceding the survey.
Women are defined as being menopausal if they are not pregnant and not postpartum amenorrheic, are not currently using a contraceptive method, and have not had a period in the six months preceding the survey or report they are in menopause.
Women are defined as being infecund if they are not menopausal and not postpartum amenorrheic and not pregnant, have had no birth in the five years preceding the survey, and either (Model "A" countries) have been continuously married and have not used contraception in the five years preceding the survey, or (Model "B" countries) have been married one time and first married five or more years before the survey and have never used contraception.
Fecund women are all women not included in the preceding categories.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Fecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Amenorrheic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Infecund, menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1867" name="C_EXPOSURE2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Fecund, pregnant, amenorrheic, or infecund (2nd def)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Like EXPOSURE1, EXPOSURE2 (V625) is a constructed variable that draws upon responses to several questions to distinguish between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women. EXPOSURE2 uses a more liberal definition of infecundity than EXPOSURE1, however.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The DHS Recode Manuals explain the differences between these two variables as follows:

For Model "B" countries, it is only possible to say that a woman had been continuously married throughout the preceding five years if she was in her first union. This definition has been relaxed in V625 [EXPOSURE2], such that the respondent need only have been married at least five years ago, and not continuously married throughout the last five years. For Model "A" countries, there is no change to this part of the definition.

[For EXPOSURE2] Two additional variables have been used to declare a woman infecund. If the respondent said that she cannot get pregnant when asked about preferences for additional children, or if she reported that she was menopausal or had a hysterectomy when giving the reason she was not currently using a contraceptive method, the respondent is coded as infecund.

Model A countries and Model B countries are defined according to whether the country based its questionnaire on the Model A or Model B standard DHS questionnaire for DHS phases one through four. In general, the Model A questionnaire was designed for use in countries with high contraceptive prevalence. Nonetheless, countries with relatively low contraceptive prevalence sometimes modeled their own questionnaire on the Model A standard questionnaire. This was the case, for example, for the Kenyan samples for 1998 and 2003 and the Malawi samples for 2000 and 2004.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Fecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Amenorrheic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Infecund, menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1868" name="C_FPKNOTYP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know any type of FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOTYP (V301) is a summary (recoded) variable indicating whether the woman knew any family planning method and, if so, whether she knew a modern method or only a traditional or folkloric method.  

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception.  

Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence.  Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet) that vary across samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Knows no method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Knows only traditional or folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Knows only folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Knows only traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Knows modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1869" name="C_FPKNOPILL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about Pill for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOPILL (V304_01) indicates whether the woman knew about the Pill as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1870" name="C_FPKNOIUD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about IUD for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOIUD (V304_02) indicates whether the woman knew about the IUD (intra-uterine device) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probe questions, an IUD was often described as "a loop or coil placed inside them by a doctor or a nurse."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1871" name="C_FPKNOINJ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about injectable FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOINJ (V304_03) indicates whether the woman knew about injectables as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. For the probe question, injectables were typically defined as "an injection by a doctor or nurse, which stops them from becoming pregnant for several months."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1872" name="C_FPKNODIA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about diaphragm for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNODIA (V304_04) indicates whether the woman knew about the diaphragm as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1873" name="C_FPKNOCON" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOCON (V304_05) indicates whether the woman knew about male condoms as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1874" name="C_FPKNOFST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about female sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOFST (V304_06) indicates whether the woman knew about female sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1875" name="C_FPKNOMST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about male sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOMST (V304_07) indicates whether the woman knew about male sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1876" name="C_FPKNOFC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about female condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOFC (V304_14) indicates whether the woman knew about female condoms as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1877" name="C_FPKNOIMP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about implants or Norplant for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOIMP (V304_11) indicates whether the woman knew about implants (such as Norplant) as a method for family planning. Implants were generally described as "small rods placed in their arm by a doctor, which stops them from becoming pregnant for several years."

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1878" name="C_FPKNOEMRG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Knows about emergency contraception a as a method of family planning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOEMRG indicates whether the woman knew about emergency contraception as a method for family planning. The complementary variable FPEVUSEMRG indicates whether the woman had ever used emergency contraception to delay or avoid a pregnancy.  

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1879" name="C_FPKNOWD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about withdrawal for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOWD (V304_09) indicates whether the woman knew about withdrawal as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1880" name="C_FPKNORHY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about rhythm for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNORHY (V304_08) indicates whether the woman knew about the rhythm method (periodic abstinence at the high-fertility part of the woman's menstrual cycle) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1881" name="C_FPKNOOM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Knows about other contraceptive as a method of family planning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOOM (V304_10) indicates whether the woman knew about any "other" method(s) as a method of family planning. The complementary variable FPEVUSOM indicates whether the woman had ever used any "other" method(s) to delay or avoid a pregnancy. The meaning of "other" in this case depends on the specific response categories included in a given sample. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1882" name="C_FPCUREFF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Told about side effects of FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUREFF (V3A02) indicates whether the woman was told by anyone about potential side effects of her current contraceptive method when she first obtained it. The related variable FPCURDEAL indicates whether the woman was told how to deal with these side effects.

Users should be careful to distinguish this variable from FPCUREFFWKR (V3A03), which indicates whether the woman was told about side effects by a health or family planning worker.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1883" name="C_FPCURDEAL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Told how to deal with side effects of FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCURDEAL (V3A04) indicates whether the woman was told how to deal with the side effects of her current contraceptive method when she first obtained it.

The related variable FPCUREFF (V3A02) indicates whether the woman was told about the sides effects in general. FPCUREFFWKR (V3A03) indicates whether the woman was told about side effects by a health/family planning worker.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1884" name="C_FPCUREFFWKR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Told about side effects by family planning worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUREFFWKR (V3A03) indicates whether the woman was told by a health or family planning worker about potential side effects of her current contraceptive method when she first obtained it. The related variable FPCURDEAL indicates whether the woman was told how to deal with these side effects.

Users should be careful to distinguish this variable from FPCUREFF (V3A02), which indicates whether the woman was told about side effects by anyone.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1885" name="C_FPCUROM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Told about other FP methods
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUROM (V3A05) indicates whether the woman was told by anyone about other potential contraceptive methods she could use when she first obtained her current method. Universes vary across samples; see Comparability.

Users should be careful to distinguish this variable from FPCUROMWKR (V3A06), which indicates whether the woman was told about other potential methods by a health or family planning worker.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1886" name="C_FPCUROMWKR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever told about other family planning methods by FP worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUROMWKR (V3A06) indicates whether the woman was told by a health or family planning worker about other potential contraceptive methods she could use when she first obtained her current method. Universes vary across samples; see Comparability.

Users should be careful to distinguish this variable from FPCUROM (V3A05), which indicates whether the woman was told about other potential methods by anyone.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1887" name="C_FPTYPNOW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Current FP use by method type (folk, traditional, modern)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPNOW (V313) indicates whether the woman is currently using a modern, traditional, or folkloric method of contraception.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Folkloric or traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1888" name="C_FPUSPATRN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Pattern of use of contraceptive method
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPUSPATRN (V361) reports the woman's pattern of contraceptive use by indicating whether she is currently using, has used in the past, or has never used contraception.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Currently using
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Ever used, but not currently using
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Used since last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Used before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Never used
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1889" name="C_FPMETHNOW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Current method of FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPMETHNOW (V312) reports the contraceptive method the woman is currently using.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Answers are grouped under the broad categories of "modern methods," "traditional methods," and "other methods," each with a different first digit. Specific methods are distinguished by the second and third digits. See FPEVUSE for more information on broad categories of contraception.

Closely related responses, such as various groupings of diaphragm/foam/jelly, share the first 2 digits in common, while the third digit distinguishes the exact response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not using
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          MODERN METHODS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Pill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          IUD
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Norplant/Implants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Female Condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Female Sterilization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Male Sterilization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Injections
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Injection (3 monthly)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Injection (monthly)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Diaphragm/Foam/Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Diaphragm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Diaphragm/Foam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Diaphragm/Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Foam or Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Foaming tablets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Vaginal methods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Lactational amenorrhea (LAM)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Prolonged breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Emergency contraception
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          TRADITIONAL METHODS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Abstinence or periodic abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Periodic abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Cycle Beads/Standard days method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Mucus method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Natural family planning, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Withdrawal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Other traditional/folkloric
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Herbs/Plants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Gris-Gris/Amulet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Astrology
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Strings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          OTHER METHOD, UNSPECIFIED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Other specific method 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Other specific method 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Other specific method 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Other specific method 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1890" name="C_FPNOWUSPILL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Pill
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant and who ever used the Pill, FPNOWUSPILL (V307_01) indicates whether the woman is now using the Pill.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1891" name="C_FPNOWUSINJ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Injections
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSINJ (V307_03) indicates whether the woman is now using injectable contraception.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1892" name="C_FPNOWUSIUD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: IUD
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSIUD (V307_02) indicates whether the woman is now using an IUD.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1893" name="C_FPNOWUSIMP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Implants
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSIMP (V307_11) indicates whether the woman is now using a contraceptive implant, such as Norplant, to delay or avoid getting pregnant.  

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1894" name="C_FPNOWUSFST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Female sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSFST (V307_06) indicates whether the woman is now using female sterilization.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1895" name="C_FPNOWUSMST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Male sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSMST (V307_07) indicates whether the woman is now using male sterilization.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1896" name="C_FPNOWUSCON" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSCON (V307_05) indicates whether the woman is now using the male condom.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1897" name="C_FPNOWUSFC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSFC (V307_14) indicates whether the woman is now using the female condom to delay or avoid getting pregnant. 

Users should be careful to distinguish this variable from FPNOWUSCON, which refers to the male condom. 

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1898" name="C_FPNOWUSEMRG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Emergency contraception
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSEMRG indicates whether the woman is now using a form of emergency contraception to delay or avoid getting pregnant. 

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1899" name="C_FPNOWUSRHY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Rhythm
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSRHY (V307_08) indicates whether the woman is now using rhythm (periodic abstinence).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1900" name="C_FPNOWUSWD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Withdrawal
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSWD (V307_09) indicates whether the woman is now using withdrawal.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1901" name="C_FPNOWUSOM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Other method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSOM (V307_10) indicates whether the woman is now using some "other" contraceptive method to delay or avoid getting pregnant. The meaning of "other" depends on the specific response categories included in a given sample. 

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1902" name="C_FPCURSTMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month of calendar year when started using current FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently using family planning, FPCURSTMO reports the month of the calendar year when they first started using their current method. The year when the woman first started using her current method is reported in FPCURSTYR.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1903" name="C_FPCURSTYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year when started using current FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1960" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently using family planning, FPCURSTYR reports the year when they first started using their current method. The calendar month when the woman first started using her current method is reported in FPCURSTMO.
      </txt>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1904" name="C_FPCURSTCMC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Date when started using current FP method (CMC)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently using family planning, FPCURSTCMC reports the century month code for the date when the woman started using her current method.
      </txt>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1905" name="C_FPCURCOMP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information: Start date of current method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPCURCOMP reports the completeness of information about the start date of the woman's current contraceptive method.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year given
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Month imputed, year given
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Month given, year imputed (date placed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          No information given (date placed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1906" name="C_FPCURNOMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Months of use of current family planning method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are currently using a contraceptive method, FPCURNOMO (V337) reports the number of months they have been continuously using their current method.

Starting in Phase II, there are differences in the way these data are reported between Model "A" and Model "B" countries, due to the inclusion of a detailed calendar of events in the five years preceding the interview in Model "A" questionnaires. For Model "B" questionnaires, any response greater than 8 years is topcoded at "96." However, for Model "A" questionnaires, the maximum duration of use that could be recorded is the entire length of the calendar (i.e., 5 years).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96 or more months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          All calendar years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1907" name="C_FPNOW1SRC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        First source for contraception for current method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOW1SRC (V3A07) reports the first source for the respondent's current method of contraception.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Regional/provincial hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1160
        </catValu>
        <labl>
          Category I hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1170
        </catValu>
        <labl>
          Category II hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1180
        </catValu>
        <labl>
          University/teaching hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1181
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1182
        </catValu>
        <labl>
          Teaching hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1280
        </catValu>
        <labl>
          Category I health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1290
        </catValu>
        <labl>
          Category II health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Stand-alone family planninc clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1320
        </catValu>
        <labl>
          Mobile family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1410
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1411
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1420
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1430
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1431
        </catValu>
        <labl>
          Fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1432
        </catValu>
        <labl>
          Lady health worker (LHW)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1433
        </catValu>
        <labl>
          Lady health visitor (LHV)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1434
        </catValu>
        <labl>
          Community-based distribution agent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1435
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1436
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1437
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1600
        </catValu>
        <labl>
          Government maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1610
        </catValu>
        <labl>
          Maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Camp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Health box
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          Health insurance organization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          Curative care organization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          Youth facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Specialized hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2122
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Traditional doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Private pharmacy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Private dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Community-based distribution agent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2510
        </catValu>
        <labl>
          VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other private medical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Medical office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Care room
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Tent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Satellite clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          Community-based outlet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          NGO health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          NGO community-based distributor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          NGO fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          NGO depot holder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          AMO Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Egypt FP association
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          CSI project
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          MACRO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Religious health center/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4210
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4211
        </catValu>
        <labl>
          Mosque health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4212
        </catValu>
        <labl>
          Church health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4220
        </catValu>
        <labl>
          Religious dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Religious mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Religious door-to-door
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Shop/market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          General dealer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Supermarket
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5113
        </catValu>
        <labl>
          Tuck shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5114
        </catValu>
        <labl>
          Service station
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Kiosk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5130
        </catValu>
        <labl>
          Gas station
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5190
        </catValu>
        <labl>
          Other retail
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Church/mosque
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Bar/nightclub/hotel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5410
        </catValu>
        <labl>
          Bar/nightclub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5411
        </catValu>
        <labl>
          Bar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5420
        </catValu>
        <labl>
          Hotel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5500
        </catValu>
        <labl>
          Other institution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5510
        </catValu>
        <labl>
          School
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5520
        </catValu>
        <labl>
          Youth center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5530
        </catValu>
        <labl>
          Workplace
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5600
        </catValu>
        <labl>
          Media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5610
        </catValu>
        <labl>
          Family planning campaign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5700
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5710
        </catValu>
        <labl>
          Hakim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5720
        </catValu>
        <labl>
          Traditional birth attendant (TBA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5800
        </catValu>
        <labl>
          Informal channels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5810
        </catValu>
        <labl>
          Drug vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5820
        </catValu>
        <labl>
          Public toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1908" name="C_FPLASTSRCS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Last source for FP for current users, standardized
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women using a modern method of contraception, FPLASTSRCS (V327) reports the type of facility that was the source of the last contraceptive method used by the woman. This variable was constructed by recoding country-specific responses into a few standard categories that are consistent across samples.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Govt Clinic/Pharm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Govt Home/Comm delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Private Clin/Deliv
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Private Pharmacy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Church, Shop, friends, books
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1909" name="C_FP1STUSGPKID" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number living children at first use of FP (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FP1STUSGPKID (V311) reports the number of living children, if any, the woman had when she first used a contraceptive method, with the number top-coded at 4+ children. FP1STUSLVKID reports responses to the same question, without top-coding the answers.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Inconsistent number reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Never used fp
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1910" name="C_FP1STUSLVKID" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number living children at first use of FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FP1STUSLVKID (V310) reports the number of living children the woman had the first time she used a contraceptive method. The same information is also reported in FP1STUSGPKID, except responses are top-coded at 4+ children in that variable and women who have never used contraception are coded as "9."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Inconsistent data
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1911" name="C_FPUSINTENT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        FP current use or future intention
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPUSINTENT (V364) is a constructed variable drawing on responses to multiple survey questions that divides women into the following categories: those who are currently using a contraceptive method (either modern or traditional); those who are not now using contraception but intend to do so in the future; those who are neither using contraception now nor intend to do so in the future; and (in a minority of samples) those who never had sex.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

IPUMS-DHS users are encouraged to review FPMETHNOW and FPUSPLAN for additional information on the variables used to construct FPUSINTENT.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Using modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Using traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Non-user intending to use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Does not intend to use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Future use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1912" name="C_FPUSPLAN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Intention to use FP in future
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPUSPLAN (V362) is a constructed variable based on multiple survey questions that reports, for women not currently using contraception, whether the woman intends to use contraception in the future and, if so, when she intends to begin use (in the next 12 months or later). Women uncertain about future contraceptive use are subdivided into those who are unsure about using a method and those unsure about the timing of planned future use.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Will use in future
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Use in next 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Use later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Unsure about future use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Unsure about timing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Unsure about use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Does not intend to use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Future use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1913" name="C_FPEVUSE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use any type of FP (folk, traditional, modern)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="20"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPEVUSE (V302) is a constructed variable that reports whether the woman had ever used a family planning method and, if so, whether she had used a modern contraceptive method or only a traditional or folkloric method.  

In the DHS, modern methods are pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never used
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Used only traditional or folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Used only traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Used only folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Used modern method
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1914" name="C_FPEVUSPILL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use Pill for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSPILL (V305_01) indicates whether the woman has ever used the pill to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1915" name="C_FPEVUSIUD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use IUD for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSIUD (V305_02) indicates whether the woman had ever used an IUD to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1916" name="C_FPEVUSINJ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use injectable for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSINJ (V305_03) indicates whether the woman has ever used injectable contraception to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1917" name="C_FPEVUSCON" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSCON (V305_05) indicates whether the woman had ever used the male condom to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1918" name="C_FPEVUSFST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use female sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSFST (V305_06) indicates whether the woman had ever used female sterilization to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1919" name="C_FPEVUSWD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use withdrawal for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSWD (V305_09) indicates whether the woman has ever used withdrawal to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1920" name="C_FPEVUSRHY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use rhythm for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSRHY (V305_08) indicates whether the woman had ever used rhythm (periodic abstinence) to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1921" name="C_FPEVUSMST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use male sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSMST (V305_07) indicates whether the woman had ever used male sterilization to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1922" name="C_FPEVUSIMP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use implants/Norplant for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSIMP (V305_11) indicates whether the woman had ever used implants (such as Norplant) to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1923" name="C_FPEVUSFC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use female condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSFC (V305_14) indicates whether the woman had ever used the female condom to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1924" name="C_FPEVUSEMRG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use emergency contraception for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSEMRG indicates whether the woman had ever used emergency contraception to delay or avoid a pregnancy. The complementary variable FPKNOEMRG indicates whether the woman knew about emergency contraception as a method for family planning.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1925" name="C_FPEVUSOM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever use other methods for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSOM (V305_10) indicates whether the woman has ever used other methods to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1926" name="C_FPSTERNOCH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Told sterilization would mean no more children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERNOCH (V3A01) indicates whether they were told, before they were sterilized, that they would not be able to have any more children as a result of the operation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1927" name="C_FPSTERILAGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age at sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERILAGE (V320) reports their age at the time of their sterilization operation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 25 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          25 - 29 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          30 - 34 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          35 - 39 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          40 - 44 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          45 - 49 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          50 - 54 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1928" name="C_FPSTERILPAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Parity at sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERILPAR (V322) reports the parity of the women at the time of their sterilization, top-coded at 5+ children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1929" name="C_FPSTERMARDUR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Marital duration at time of sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERMARDUR (V321) reports, in 5-year groups, the women's marital duration at the time of their sterilization.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Single, before marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          0 - 4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          5 - 9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          10 - 14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          15 - 19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          20 - 24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          25 - 29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1930" name="C_FPSTERYRAGO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Years since sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERYRAGO (V319) reports the number of years since their sterilization operation, using 2-year groups, top-coded at 10+ years.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 - 3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          4 - 5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          6 - 7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          8 - 9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          10 or more years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1931" name="C_FPHOMVISITY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Visited by family planning worker in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPHOMVISITY (V393) indicates whether the woman was visited by a health worker who talked to her about family planning in the 12 months preceding the interview.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1932" name="C_FPHCVISITY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Visited health facility for any reason in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPHCVISITY (V394) indicates whether the woman visited a health facility for any reason in the past 12 months.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1933" name="C_FPHCTALKFP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        At health facility told of family planning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had visited a health facility in the past year, FPHCTALKFP (V395) indicates whether any staff there talked to them about family planning.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1934" name="C_FPRADIOHR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard FP message on radio
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPRADIOHR (V365) indicates whether the woman heard family planning message(s) on the radio in the past month. Some samples specify longer periods of time. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, only once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1935" name="C_FPTVHR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard FP message on TV recently
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTVHR (V384) indicates whether the woman heard family planning message(s) on television in the last month. Some samples specify longer periods of time. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1936" name="C_FPNEWSHR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard FP message in newspaper/magazine
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPNEWSHR (V384C) indicates whether the woman has recently seen family planning messages in a newspaper or magazine.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1937" name="C_FPPOSTHR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Seen FP message on poster or pamphlet
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPPOSTHR indicates whether the woman has recently seen family planning messages on a poster.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1938" name="C_FPPLAYHR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard about family planning in: Theater/play/drama
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPPLAYHR indicates whether the woman has recently seen or heard family planning messages in a live drama, play, or theater performance.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1939" name="C_FPCLOTHHR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard about family planning: On Clothing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPCLOTHHR indicates whether the woman has recently seen family planning messages on clothing (such as a hat or t-shirt).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1940" name="C_FPOTHHR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard about family planning from: Other source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPOTHHR indicates whether the woman has recently seen or heard family planning messages from some "other" source. The meaning of other depends on the specific sources mentioned in each survey.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1941" name="C_FPYNOTMAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Not married
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTMAR (V3A08A) indicates whether they reported "not married"
 in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1942" name="C_FPYNOTNOSEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Not having sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTNOSEX (V3A08B) indicates whether they reported "not having sex" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1943" name="C_FPYNOTINSEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Infrequent sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTINSEX (V3A08C) indicates whether they reported "infrequent sex" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1944" name="C_FPYNOTMENO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Menopausal or hysterectomy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTMENO (V3A08D) indicates whether they reported "menopausal or hysterectomy" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1945" name="C_FPYNOTINF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Subfecund or infecund
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTINF (V3A08E) indicates whether they reported "subfecund or infecund" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1946" name="C_FPYNOTAMEN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Postpartum amenorrheic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTAMEN (V3A08F) indicates whether they reported "postpartum amenorrheic" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1947" name="C_FPYNOTBSTFD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Breastfeeding
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTBSTFD (V3A08G) indicates whether they reported "breastfeeding" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1948" name="C_FPYNOTFATE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Fatalistic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTFATE (V3A08H) indicates whether they reported "fatalistic" or "up to God" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1949" name="C_FPYNOTOPPR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Respondent opposed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOPPR (V3A08I) indicates whether the respondent herself reported being opposed to use in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1950" name="C_FPYNOTOPPH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Husband or partner opposed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOPPH (V3A08J) indicates whether they reported "husband/partner opposed" in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1951" name="C_FPYNOTOPPO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Others opposed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOPPO (V3A08K) indicates whether they reported "others opposed" in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1952" name="C_FPYNOTRELIG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Religious prohibition
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and at risk of pregnancy, FPYNOTRELIG (V3A08L) indicates whether they reported "religious prohibition" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1953" name="C_FPYNOTKNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Knows no contraceptive method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTKNO (V3A08M) indicates whether they reported not knowing a method in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1954" name="C_FPYNOTSRC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Knows no source of contraceptives
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTSRC (V3A08N) indicates whether they reported not knowing a source in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1955" name="C_FPYNOTHLTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Health concerns
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTHLTH (V3A08O) indicates whether they reported "health concerns" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1956" name="C_FPYNOTSIDEF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Fear of side effects
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTSIDEF (V3A08P) indicates whether they reported "fear of side effects" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1957" name="C_FPYNOTSDHLTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Fear of side effects or health concerns
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTSDHLTH indicates whether they reported "fear of side effects" and/or "health concerns" in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1958" name="C_FPYNOTFAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Lack of access or too far
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTFAR (V3A08Q) indicates whether they reported "lack of access or too far" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1959" name="C_FPYNOTCOST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Costs too much
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTCOST (V3A08R) indicates whether they reported "costs too much" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1960" name="C_FPYNOTCONV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Inconvenient to use
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTCONV (V3A08S) indicates whether they reported "inconvenient to use" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1961" name="C_FPYNOTBODY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Interferes with body's natural processes
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTBODY (V3A08T) indicates whether they reported "interferes with body's normal processes" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1962" name="C_FPYNOTOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Other reason
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOTH (V3A08X) indicates whether they reported some other reason in response to an open-ended question about reasons for not using contraception. The meaning of "other" depends on the specific response categories included in a given sample.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1963" name="C_FPYNOTDK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Don't know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTDK (V3A08Z) indicates whether they reported "don't know" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, does not know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1964" name="C_FPTYPPILL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Pill
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPPILL (V304A_01) reports whether the Pill is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPPILL (V304A_01) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1965" name="C_FPTYPIUD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: IUD
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPIUD (V304A_02) reports whether the intrauterine device (IUD) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPIUD (V304A_02) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1966" name="C_FPTYPINJ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Injectables
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPINJ (V304A_03) reports whether injectable contraception is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPINJ (V304A_03) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1967" name="C_FPTYPCON" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPCON (V304A_05) reports whether the male condom is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPCON (V304A_05) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1968" name="C_FPTYPFST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Female sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPFST (V304A_06) reports whether female sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPFST (V304A_06) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1969" name="C_FPTYPMST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Male sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPMST (V304A_07) reports whether male sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPMST (V304A_07) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1970" name="C_FPTYPRHY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Rhythm method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPRHY (V304A_08) reports whether the rhythm method (periodic abstinence) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPRHY (V304A_08) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1971" name="C_FPTYPWD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Withdrawal
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPWD (V304A_09) reports whether withdrawal is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPWD (V304A_09) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1972" name="C_FPTYPIMP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Implants or norplants
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPIMP (V304A_11) reports whether the contraceptive implant (such as Norplant) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPIMP (V304A_11) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1973" name="C_FPTYPFC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPFC (V304A_14) reports whether the female condom is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPFC (V304A_14) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1974" name="C_FPTYPEMERG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Emergency contraception
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPEMERG reports whether emergency contraception is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPEMERG and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1975" name="C_FPTYPOM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Other method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPOM (V304A_10) reports whether any "other" method reported by the woman is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. The meaning of "other" depends on the specific response categories included in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPOM (V304A_10) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1976" name="C_FPNONPUBHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBHOS (V3A00A) indicates whether, in response to an open-ended question, they reported a public hospital as a source for family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1977" name="C_FPNONPUBHC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBHC (V3A00B) indicates whether, in response to an open-ended question, they reported a public health center as a source of family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1978" name="C_FPNONPUBMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBMOB (V3A00D) indicates whether, in response to an open-ended question, they reported a public mobile clinic as a source of family planning.

Users should be careful to distinguish this variable from FPNONPRIVMOB, which refers to private mobile clinics.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1979" name="C_FPNONPUBFW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBFW (V3A00E) indicates whether, in response to an open-ended question, they reported a "public fieldworker" as a source of family planning.

Users should be careful to distinguish this variable from FPNONPRIVFW ("fieldworker" under the private medical sector category).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1980" name="C_FPNONPUBOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Other public source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBOTH (V3A00I) indicates whether, in response to an open-ended question, they reported some "other" public medical facility as a source of family planning. The meaning of "other" varies depending on the specific categories included in a given sample.

Users should be careful to distinguish this variable from FPNONPRIVOTH ("other" under the private medical sector) and FPNONOTHER ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1981" name="C_FPNONPRIVMIS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Religious/mission hospital, health center, or clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVMIS indicates whether they reported, in response to an open-ended question, a faith-based health facility.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1982" name="C_FPNONPRIVMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Private mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVMOB (V3A00M) indicates whether, in response to an open-ended question, they reported a private mobile clinic as a source of family planning.

Users should be careful to distinguish this variable from FPNONPUBMOB, which refers to public sector mobile clinics.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1983" name="C_FPNONPRIVDRUG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Private pharmacy, drug store, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVDRUG (V3A00K) indicates whether they reported, in response to an open-ended question, a private pharmacy, drug store, or dispensary as a source of family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

Users should be careful to distinguish this variable from FPNONPUBDRUG and FPNONOTHDRUG, which refer to public drug sources and informal drug sources, respectively.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1984" name="C_FPNONPRIVFW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Private fieldworker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVFW (V3A00N) indicates whether, in response to an open-ended question, they reported a "private fieldworker" as a source of family planning.

Users should be careful to distinguish this variable from FPNONPUBFW ("fieldworker" under the public medical sector category).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1985" name="C_FPNONPRIVOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Other private medical sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVOTH (V3A00R) indicates whether, in response to an open-ended question, they reported some "other" private medical facility as a source of family planning. The meaning of "other" depends on the specific categories included in a given sample.

Users should be careful to distinguish this variable from FPNONPUBOTH ("other" under the public sector) and FPNONOTHER ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1986" name="C_FPNONCHURCH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Church or Mosque
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONCHURCH indicates whether a church was mentioned in response to an open-ended question about where family planning can be obtained.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1987" name="C_FPNONFRND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Friend or relative
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONFRND indicates whether they reported, in response to an open-ended question, a friend or relative as a source of family planning.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1988" name="C_FPNONSHOP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Shop or kiosk
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONSHOP (V3A00S) indicates whether, in response to an open-ended question, they reported a shop as a source of family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1989" name="C_FPNONOTHER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Other source, unspecified
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONOTHER (V3A00X) indicates whether they reported some "other" source when asked an open-ended question about where family planning can be obtained. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from FPNONPUBOTH ("other" under the public medical sector) and FPNONPRIVOTH ("other" under the private medical sector). This variable includes those "other" categories that do not fit into the public or private medical sector.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1990" name="C_FPNONDK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Does not know a source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONDK (V3A00Y) indicates whether they did not know of any source when asked an open-ended question about where family planning can be obtained.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, knows at least one source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, knows no source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1991" name="C_FPNONANY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Knows any source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONANY (V3A00Z) indicates whether they knew any source when asked an open-ended question about where family planning can be obtained.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, knows no source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, knows at least one source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1992" name="C_FPNONMW1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Public health post or outreach (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a contraceptive method, FPNONMW1 indicates whether, in response to an open-ended question, they reported a public health post or outreach program as a source of family planning. This response category is country-specific to Malawi.

Though IPUMS-DHS integrates "government health post" across samples (see FPNONPUBHP), FPNONMW1 is not included in the integrated variable because it consolidates multiple sources into a single category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1993" name="C_FPNONMW2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Youth drop-in center (other) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a contraceptive method, FPNONMW2 indicates whether, in response to an open-ended question, they reported a "youth drop-in center" as a source of family planning. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1994" name="C_FPNONMW3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Health surveillance assistant (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a contraceptive method, FPNONMW3 indicates whether, in response to an open-ended question, they reported a "health surveillance assistant" as a source of family planning. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1995" name="C_FPNONMW4" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a contraceptive method, FPNONMW4 indicates whether, in response to an open-ended question, they reported a "mission hospital" as a source of family planning. This response category is country-specific to Malawi. 

Some samples in the "FPNON" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

FPNONMW4 is combined with FPNONMW5 (mission health center) and FPNONMW6 (mission mobile clinic) in FPNONPRIVMIS for the Malawi samples. IPUMS-DHS users interested in using FPNONMW4 are encouraged to review FPNONPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1996" name="C_FPNONMW5" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a contraceptive method, FPNONMW5 indicates whether, in response to an open-ended question, they reported a "mission health center" as a source of family planning. This response category is country-specific to Malawi.

Some samples in the "FPNON" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

FPNONMW5 is combined with FPNONMW4 (mission hospital) and FPNONMW6 (mission mobile clinic) in FPNONPRIVMIS for the Malawi samples. IPUMS-DHS users interested in using FPNONMW5 are encouraged to review FPNONPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1997" name="C_AIDSHEARD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard of AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDSHEARD (V751) indicates whether the woman has heard of AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General HIV/AIDS knowledge Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1998" name="C_AIDHEALTHY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Thinks a healthy-looking person can have AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDHEALTHY (V756) indicates whether the woman thinks it is possible for a healthy-looking person to have HIV/AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General HIV/AIDS knowledge Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1999" name="C_AIDHRDRUGHELP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard of drugs to help infected people live longer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDHRDRUGHELP (V837) indicates whether the woman had heard of medicine to help people with HIV/AIDS. How such drugs were labeled and how their effects were described varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General HIV/AIDS knowledge Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2000" name="C_AIDFAMSECRET" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Would want HIV infection in family to remain secret
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDFAMSECRET (V777) indicates whether the woman would want an HIV/AIDS infection in her family to remain a secret.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, keep it a secret
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2001" name="C_AIDCAREREL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Willing to care for relative who has AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDCAREREL (V778) indicates whether the woman would be willing to care for a relative with AIDS in her own household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2002" name="C_AIDLETTCHF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Should female teacher with HIV, but not sick, continue teaching
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDLETTCHF (V779) indicates whether the woman thinks a female teacher with HIV/AIDS should be allowed to continue teaching. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2003" name="C_AIDGETVENDOR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Would buy vegetables from vendor with AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDGETVENDOR (V825) indicates whether the woman would buy vegetables from a vendor with HIV/AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2004" name="C_AIDGETWITCH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Get AIDS from: Witchcraft or supernatural means
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDGETWITCH (V823) indicates whether the woman believes AIDS can be contracted through witchcraft or supernatural means. Not all surveys specifically use the term "witchcraft" in the question. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2005" name="C_AIDGETBITE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Get AIDS from: Mosquito bites
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AIDGETBITE (V754JP) indicates whether, in response to a yes/no question, the respondent believes that AIDS can be transmitted through mosquito bites.

IPUMS-DHS users may also be interested in AIDTHRUBITE, which indicates whether, in response to an open-ended question, the respondent stated that AIDS can be transmitted through mosquito bites.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2006" name="C_AIDGETFOOD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Get AIDS from: Sharing food with person with AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDGETFOOD (V754WP) indicates whether the woman believes AIDS can be transmitted through sharing food (or dining utensils) with an infected person.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2007" name="C_AID1PARLOWRYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Thinks having only 1 sex partner reduces AIDS risk (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AID1PARLOWRYN (V754DP) indicates whether the woman believes having sex with only one partner who has no other sex partners reduces the risk of contracting HIV/AIDS.

For a similar variable asked as an open-ended question, see AID1PARLOWR (V754D).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2008" name="C_AIDABSTLOWRYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Thinks not having sex reduces AIDS risk (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AIDABSTLOWRYN (V754BP) indicates whether the woman believes abstaining from sex reduces risk of contracting HIV/AIDS.

For a similar variable asked as an open-ended question, see AIDABSTLOWR (V754B).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don’t know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2009" name="C_AIDCONLOWRYN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Thinks always using a condom reduces AIDS risk (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AIDCONLOWRYN (V754CP) indicates whether the woman believes using a condom during sex reduces risk of contracting HIV/AIDS.

For a similar variable asked as an open-ended question, see AIDCONLOWR (V754C).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2010" name="C_AIDKNOPREGDRG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Know about drugs to avoid AIDS transmission to baby during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDKNOPREGDRG (V824) indicates whether the woman knows of medicine that helps prevent transmission of HIV/AIDS from mother to child during pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2011" name="C_AIDTRANDELIV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        How AIDS transmitted from mother to child: During delivery
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTRANDELIV (V774B) indicates whether the woman acknowledged transmission during delivery as a way that AIDS can be passed from mother to child. While this information was generally collected using a yes/no question format, some surveys used an open-ended question instead. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2012" name="C_AIDTRANFEED" files="F2" dcml="0" intrvl="discrete">
      <labl>
        How AIDS transmitted from mother to child: Breastfeeding
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTRANFEED (V774C) indicates whether the woman acknowledged transmission during breastfeeding as a way that AIDS can be passed from mother to child. While this information was generally collected using a yes/no format, some surveys used an open-ended question instead. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2013" name="C_AIDTRANPREG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        How AIDS transmitted from mother to child: During pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTRANPREG (V774A) indicates whether the woman acknowledged transmission during pregnancy as a way that AIDS can be passed from mother to child. While this information was generally collected using a yes/no question format, some surveys used an open-ended question. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2014" name="C_AIDTESTEV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever been tested for AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTESTEV (V781) indicates whether the respondent has ever been tested for HIV/AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don’t know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2015" name="C_AIDANTALK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        During antenatal visit talked about: HIV transmitted mother to child
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDANTALK (V838A) indicates whether women who gave birth recently (last three to five years before the survey) talked to anyone or were given information during antenatal care about HIV transmission from mother to child.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2016" name="C_AIDANTALKPREV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        During antenatal visit talked about: Preventing getting HIV
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDANTALKPREV (V838B) indicates whether women who gave birth recently (last three to five years before the survey) talked to anyone or were given any information during antenatal care about things to do to prevent getting the AIDS virus.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2017" name="C_AIDTANTALK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        During antenatal visit talked about: Getting tested for HIV
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANTALK (V838C) indicates whether women who gave birth recently (last two to five years before the survey) talked to anyone or were given information during antenatal care about getting tested for the AIDS virus.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2018" name="C_AIDTANOFFER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Offered HIV test as part of antenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANOFFER (V839) indicates whether women who gave birth recently (last two to five years before the survey) were offered a test for the AIDS virus as part of antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2019" name="C_AIDTANCARE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Tested for HIV as part of antenatal visit
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANCARE (V840) indicates whether women who gave birth recently (last two to five years before the survey) were tested for the AIDS virus as part of antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2020" name="C_AIDTANGOTRES" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Got results of HIV test as part of antenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANGOTRES (V841) indicates whether women who gave birth recently (last three to five years before the survey) and were tested for the AIDS virus as part of antenatal care received the results of that test.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2021" name="C_AIDTSINCEAN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Tested for HIV since antenatal visit test
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTSINCEAN (V843) indicates whether women who gave birth recently (last two to five years before the survey) and were tested for the AIDS virus as part of antenatal care had been tested again since then.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2022" name="C_AIDLTCHOSE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Last HIV test was on your own, offered or required
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had been tested for the AIDS virus, AIDLTCHOSE (V827) reports whether they requested their last AIDS test, had it offered to them and accepted it, or were required to be tested.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Asked for the test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Offered and accepted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Required
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Without consent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2023" name="C_AIDLTGOTRES" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Received results from last HIV test
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had been tested for the AIDS virus, AIDLTGOTRES indicates whether they received the result of their last AIDS test.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2024" name="C_ATLWHERE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place where last HIV/AIDS test was taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women ever been tested for HIV/AIDS, ATLWHERE (V829) reports where the woman's last HIV/AIDS test was taken. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1140
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1141
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1142
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1150
        </catValu>
        <labl>
          Category I hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1160
        </catValu>
        <labl>
          Category II hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1260
        </catValu>
        <labl>
          Ambulatory treatment center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1270
        </catValu>
        <labl>
          Category I health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1280
        </catValu>
        <labl>
          Category II health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1290
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Government STI or HIV/AIDS center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Government VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Government stand-alone VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Government mobile VCT/survey team
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1320
        </catValu>
        <labl>
          Government screening center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1330
        </catValu>
        <labl>
          STI clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1510
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1520
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1521
        </catValu>
        <labl>
          Sub-center or sub-post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1530
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1531
        </catValu>
        <labl>
          Field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1532
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1533
        </catValu>
        <labl>
          Trained government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1534
        </catValu>
        <labl>
          Health surveillance assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1535
        </catValu>
        <labl>
          Door-to-door
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1540
        </catValu>
        <labl>
          Government outreach clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1541
        </catValu>
        <labl>
          Primary health care outreach clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1600
        </catValu>
        <labl>
          Government maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1700
        </catValu>
        <labl>
          Government school-based clinic/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1800
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Blood donation center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Government laboratory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Government health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Private hospital/clinic or doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Private doctor/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Private polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Private STI or HIV/AIDS center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Private VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Private stand-alone VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Private mobile VCT/survey team
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          New Start center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          HIV/AIDS treatment center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          STI clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2522
        </catValu>
        <labl>
          Private field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2530
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2610
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2620
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2621
        </catValu>
        <labl>
          Private community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2800
        </catValu>
        <labl>
          Private school-based clinic/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Private laboratory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Private blood transfusion services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Private youth center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Private diagnostic clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          International Red Cross
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Marie Stopes International
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          Population Services International (PSI)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          NGO health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          MACRO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          TASO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          AIC
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Association of Medical Doctors of Asia (AMDA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3306
        </catValu>
        <labl>
          International Nepal Fellowship (INF)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RELIGIOUS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Religious pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Religious outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4410
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4420
        </catValu>
        <labl>
          Religious mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4430
        </catValu>
        <labl>
          Religious door-to-door
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5001
        </catValu>
        <labl>
          Home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5002
        </catValu>
        <labl>
          School
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5003
        </catValu>
        <labl>
          Workplace
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5004
        </catValu>
        <labl>
          Correctional facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5005
        </catValu>
        <labl>
          Fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5006
        </catValu>
        <labl>
          Friend/relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5007
        </catValu>
        <labl>
          Military base
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5008
        </catValu>
        <labl>
          Community support group
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5009
        </catValu>
        <labl>
          Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5010
        </catValu>
        <labl>
          Shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9000
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2025" name="C_HPLCAIDSTEST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Knows of place to get AIDS test
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HPLCAIDSTEST (V783) indicates whether the woman knew a place to get tested for the AIDS virus, based on a yes/no question.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2026" name="C_ATPUBHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBHOS (V784A) indicates whether, in response to an open-ended question, the woman reported a public hospital as a place to be tested for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined in ATPUBHOS to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2027" name="C_ATPUBHC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBHC (V784B) indicates whether, in response to an open-ended question, the woman reported a public health center as a place to be tested for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined in ATPUBHC to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2028" name="C_ATPUBFW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBFW (V784F) indicates whether, in response to an open-ended question, the woman reported a private field worker as a source for testing for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable such as ATPUBFW while preserving the separate responses in country-specific variables. See Comparability for more information on the specific categories combined in this variable.

IPUMS-DHS users should be careful to distinguish ATPUBFW from ATPRIVFW (private fieldworker).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2029" name="C_ATPUBOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Other public medical sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBOTH (V784J) indicates whether, in response to an open-ended question, the woman reported some "other" public medical facility as a place to be tested for the AIDS virus. The meaning of "other" depends on the specific places for AIDS testing included in a given sample.

Users should be careful to distinguish ATPUBOTH from ATPRIVOTH ("other" under the private medical sector) and ATOTHER ("other" that is not listed under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2030" name="C_ATPRIVHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Private hospital/clinic/doctor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPRIVHOS (V784K) indicates whether, in response to an open-ended question, the woman reported a private hospital, clinic, or doctor as a source for testing for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2031" name="C_ATPRIVMIS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Religious/mission hospital, health center, or clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPRIVMIS indicates whether, in response to an open-ended question, the woman reported a faith-based health facility as a place to be tested for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined in ATPRIVMIS to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2032" name="C_ATPRIVOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Other private medical sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPRIVOTH (V784S) indicates whether, in response to an open-ended question, the woman reported some "other" private medical facility as a place to be tested for the AIDS virus. The meaning of "other" depends on the specific places for AIDS testing included in a given sample.

Users should be careful to distinguish this variable from ATPUBOTH ("other" under the public medical sector) and ATOTHER ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2033" name="C_ATOTHER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATOTHER (V784X) indicates whether the woman reported some other place to be tested for the AIDS virus. The meaning of "other" depends on the specific places for AIDS testing included in a given sample.

Users should be careful to distinguish this variable from ATPUBOTH ("other" under the public medical sector) and ATPRIVOTH ("other" under the private medical sector). ATOTHER includes those "other" categories that do not fit into the public or private medical sector.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2034" name="C_ATMW1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Health Surveillance Assistant (HSA) (other) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW1 indicates whether, in response to an open-ended question, the woman reported a public health surveillance assistant (HSA) as a source for testing for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW1 is combined with ATMW2 (public community-based distribution agent/door-to-door) in ATPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW1 are encouraged to review ATPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2035" name="C_ATMW2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW2 indicates whether, in response to an open-ended question, the woman reported a public community-based distribution agent/door-to-door as a source for testing for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW2 is combined with ATMW1 (public health surveillance assistant (HSA)) in ATPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW2 are encouraged to review ATPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2036" name="C_ATMW3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Private company hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW3 indicates whether, in response to an open-ended question, the woman reported a private company hospital/clinic as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW3 is combined with ATMW4 (private hospital/clinic/doctor) in ATPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW3 are encouraged to review ATPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2037" name="C_ATMW4" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Private hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW4 indicates whether, in response to an open-ended question, the woman reported a private hospital/clinic/doctor as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW4 is combined with ATMW3 (private company hospital/clinic) in ATPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW4 are encouraged to review ATPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2038" name="C_ATMW5" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW5 indicates whether, in response to an open-ended question, the woman reported a mission hospital as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW5 is combined with ATMW6 (mission health center) in ATPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW5 are encouraged to review ATPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2039" name="C_ATMW6" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW6 indicates whether, in response to an open-ended question, the woman reported a mission health center as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW6 is combined with ATMW5 (mission hospital) in ATPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW6 are encouraged to review ATPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2040" name="C_ATMW7" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Banja La Mtsogolo (BLM) (other) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ATMW7 indicates whether, in response to an open-ended question, the woman reported Banja La Mtsogolo (BLM), a non-governmental organization based in Malawi, as a source for testing for the AIDS virus. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2041" name="C_ATMW8" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Malawi AIDS Counseling and Resource Organization (MACRO) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ATMW8 indicates whether, in response to an open-ended question, the woman reported the Malawi AIDS Counseling and Resource Organization (MACRO) as a source for testing for the AIDS virus. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2042" name="C_ATMW9" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Health post/outreach (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW9 indicates whether, in response to an open-ended question, the woman reported a public health post/outreach as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Although IPUMS-DHS integrates "public health post" (see ATPUBHP) across samples, ATMW9 is not included in that integrated variable because multiple sources are consolidated into a single category in ATMW9.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2043" name="C_TIMESINCESEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TIMESINCESEX (V527) reports how many days, weeks, months or years had passed since the woman had sexual intercourse with her most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 day ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          Days, number inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          Weeks, inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Months, inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          35 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          36 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          37 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          38 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          39 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          40 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          41 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          42 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          43 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          44 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          45 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          46 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          47 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          48 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          49 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          50+ years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          With former husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2044" name="C_TIMESINCESEXD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse in days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMESINCESEXD (V528) reports the number of days that have passed since the respondent last had sexual intercourse. Durations of more than 30 days are grouped into "31+."

If the respondent reported having sexual intercourse in the last 4 weeks but replied that her last sexual intercourse was one month before the interview (in TIMESINCESEX (V527), this response is recoded to "30" in TIMESINCESEXD. In all other cases, a response of "One month" in TIMESINCESEX is coded as "31+."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31+ days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Not married/no regular partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          With former husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2045" name="C_TIMESINCESEXM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse in months (imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMESINCESEXM (V529) reports the computed time (in months) since the respondent last had sexual intercourse. 

This variable's value is computed from the responses in TIMESINCESEX (V527), with durations exceeding the interval since the last birth recoded as "Before last birth."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          No partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          With former husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2046" name="C_TIMESINCESEXFLAG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Flag for time since last sex (months, imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMESINCESEXFLAG (V530) is a flag variable reporting the type of problem found when editing responses about the time that has passed since the respondent last had sexual intercourse (in TIMESINCESEXM (V529)).

Below are descriptions of each code:

0 = No flag
1 = Duration reported is greater than the interval since the last birth, and the respondent did not say in the maternity section (PPABSTAINNOW (V406)) that she is still abstaining from sexual relations since her last birth
2 = Duration reported plus the duration of abstinence after the last birth (PPABMO_01 (M8_1)) is greater than the interval since the last birth
3 = Duration reported, but the respondent has not resumed sexual intercourse since the last birth
4 = Respondent reported last intercourse was before her last birth, but she has never given birth
5 = Respondent reported last intercourse was before her last birth, but she was currently pregnant (PREGNANT (V213).
6 = Respondent reported last intercourse was before her last birth, but she reported in the maternity section that she had resumed sexual intercourse after her last birth
7 = Respondent reported a duration since her last intercourse, but this would place her last intercourse before her last pregnancy
8 = Respondent reported a duration since her last intercourse, but this response was inconsistent with her response concerning the number of times she had sexual intercourse in the 4 weeks preceding the survey (SX4WKX (V526))
9 = Duration reported, but would place her last sexual intercourse before her last birth]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Duration greater than time since last birth and did not report pp abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Duration plus abstinence after last birth greater than time since last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Reported, but did not resume sex after last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Before last birth, but no births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Before last birth, but currently pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Before last birth, but resumed sex after last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Reported but before last pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Reported but inconsistent with times had sex in past 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Reported but before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2047" name="C_SXTIMETOPAR2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse: 2nd to last sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had sexual intercourse with more than one partner in the last 12 months, SXTIMETOPAR2 (V832B) indicates how many days, weeks, or months had passed since she had intercourse with her second most recent sex partner.

For data on the most recent partner, see TIMESINCESEX (V527).]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 day ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2048" name="C_SXTIMETOPAR3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse: 3rd to last sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse with more than two partners in the last 12 months, SXTIMETOPAR3 (V832C) indicates how many days, weeks, or months had passed since she had intercourse with her third most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 day ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2049" name="C_SXPARYRNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of sex partners, including spouse, in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPARYRNO (V766B) reports the number of sex partners the woman had in the past 12 months, including her spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2050" name="C_SXPARYRNO2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of sex partners, excluding spouse, in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPARYRNO2 (V766A) reports the number of sex partners the woman had in the past 12 months, excluding her spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2051" name="C_SEXACTIV4WK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sexual activity in past 4 weeks
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SEXACTIV4WK (V536) reports the respondent's recent sexual activity (never had intercourse, sexually active in the last 4 weeks, not active in the last 4 weeks because of postpartum abstinence, or not active in the last 4 weeks because of something other than postpartum abstinence).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never had intercourse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sexually active in last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not active in last 4 weeks (postpartum abs.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not active in last 4 weeks (not postpartum abs.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2052" name="C_DURABST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Duration of abstinence (months)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DURABST (V537) reports the duration of the respondent's abstinence (in months). This time interval includes postpartum and non-postpartum abstinence.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2053" name="C_SXCANREFUSE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman can refuse sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXCANREFUSE (V850A) indicates whether the woman can refuse to have sex with her husband or partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/Not sure/Depends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2054" name="C_SXPAR1NO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Times had sex with most recent partner in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR1NO (V853A) reports how many times the woman had sex with her most recent partner in the 12 months prior to the interview, top-coded at 95+.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2055" name="C_SXPAR2NO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Times had sex with 2nd most recent partner in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR2NO (V853B) reports the number of times women had sex with their second-most-recent partner in the 12 months prior to the interview, top-coded at 95+.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2056" name="C_SXPAR3NO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Times had sex with third most recent partner in the last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR3NO (V853C) reports the number of times women had sex with their third-most-recent partner in the 12 months prior to the interview, top-coded at 95+.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2057" name="C_SXPAR1REL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Relationship with most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR1REL (V767A) reports the woman's relationship to her most recent male sex partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Spouse/cohabiting partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Live-in partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Boyfriend/fiance not living with respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Casual acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Someone just met
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Commercial sex worker/client
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Ex-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Formerly married/no partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2058" name="C_SXPAR2REL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Relationship with 2nd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR2REL (V767B) reports the woman's relationship to her second most recent male sex partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Spouse/cohabiting partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Live-in partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Boyfriend/fiance not living with respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Casual acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Commercial sex worker/client
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Ex-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2059" name="C_SXPAR3REL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Relationship with 3rd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR3REL (V767C) reports the woman's relationship to her third most recent male sex partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Spouse/cohabiting partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Live-in partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Boyfriend/fiance not living with respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Casual acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Commercial sex worker/client
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Ex-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2060" name="C_SXPAR1AGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age of most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="9" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had intercourse in the last 12 months, SXPAR1AGE (V834A) reports the age of the woman's most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2061" name="C_SXPAR1YNGR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Last sexual partner younger, the same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women who had intercourse in the last 12 months, SXPAR1YNGR (V821A) reports whether the woman's most recent sexual partner was younger, about the same age, or older than she was.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2062" name="C_SXPAR2AGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age of 2nd most recent sex partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had intercourse in the last 12 months, SXPAR2AGE (V834B) reports the age of the woman's second most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2063" name="C_SXPAR2YNGR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Second to last sexual partner younger, the same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women who had intercourse in the last 12 months, SXPAR2YNGR (V821B) reports whether the woman's second most recent sexual partner was younger, about the same age, or older than she was.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2064" name="C_SXPAR3AGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age of 3rd most recent sex partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="13" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had intercourse in the last 12 months, SXPAR3AGE (V834C) reports the age of the woman's third most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2065" name="C_SXPAR3YNGR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Third to last sexual partner younger, the same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women who had intercourse in the last 12 months, SXPAR3YNGR (V821C) reports whether the woman's third most recent sexual partner was younger, about the same age, or older than she was.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2066" name="C_SXPAR1TIMKNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Length of time knew most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse in the last 12 months, SXPAR1TIMKNO (V768A) indicates how long (how many days, weeks, months or years) the woman had known her most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          391
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          392
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          393
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          394
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          395
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          396
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          397
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          398
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          399
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          402
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          403
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          404
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          405
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          406
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          407
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          408
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          409
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          410
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          411
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          412
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          413
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          414
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          415
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          416
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          417
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          418
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          419
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          420
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          421
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          422
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          423
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          424
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          425
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          426
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          427
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          428
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          429
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          430
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          431
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          432
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          433
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          434
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          435
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          436
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          437
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          438
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          439
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          440
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          441
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          442
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          443
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          444
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          445
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          446
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          447
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          448
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          449
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          450
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Days - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Weeks - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Months - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Years - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2067" name="C_SXPAR2TIMKNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Length of time knew 2nd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse in the last 12 months, SXPAR2TIMKNO (V768B) indicates how long (how many days, weeks, months or years) the woman had known her second most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          391
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          392
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          393
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          394
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          395
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          396
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          397
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          398
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          399
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          402
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          403
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          404
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          405
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          406
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          407
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          408
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          409
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          410
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          411
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          412
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          413
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          414
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          415
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          416
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          417
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          418
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          419
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          420
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          421
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          422
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          423
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          424
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          425
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          426
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          427
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          428
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          429
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          430
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          431
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          432
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          433
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          434
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          435
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          436
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          437
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          438
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          439
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          440
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          441
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          442
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          443
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          444
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          445
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          446
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          447
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          448
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          449
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Days - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Weeks - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Months - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Years - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2068" name="C_SXPAR3TIMKNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Length of time knew 3rd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse in the last 12 months, SXPAR3TIMKNO (V768C) indicates how long (how many days, weeks, months or years) the woman had known her third most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          391
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          392
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          393
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          394
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          395
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          396
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          397
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          398
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          399
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          402
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          403
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          404
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          405
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          406
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          407
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          408
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          409
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          410
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          411
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          412
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          413
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          414
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          415
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          416
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          417
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          418
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          419
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          420
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          421
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          422
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          423
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          424
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          425
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          426
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          427
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          428
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          429
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          430
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          431
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          432
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          433
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          434
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          435
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          436
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          437
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          438
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          439
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          440
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          441
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          442
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          443
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          444
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          445
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          446
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          447
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          448
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          449
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          450
        </labl>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          451
        </labl>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          452
        </labl>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          453
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          454
        </labl>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          455
        </labl>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          456
        </labl>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          457
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          458
        </labl>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          459
        </labl>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          460
        </labl>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          461
        </labl>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          462
        </labl>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          463
        </labl>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          464
        </labl>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          465
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          466
        </labl>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          467
        </labl>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          468
        </labl>
      </catgry>
      <catgry>
        <catValu>
          469
        </catValu>
        <labl>
          469
        </labl>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          470
        </labl>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          471
        </labl>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          472
        </labl>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          473
        </labl>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          474
        </labl>
      </catgry>
      <catgry>
        <catValu>
          475
        </catValu>
        <labl>
          475
        </labl>
      </catgry>
      <catgry>
        <catValu>
          476
        </catValu>
        <labl>
          476
        </labl>
      </catgry>
      <catgry>
        <catValu>
          477
        </catValu>
        <labl>
          477
        </labl>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          478
        </labl>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          479
        </labl>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          480
        </labl>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          481
        </labl>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          482
        </labl>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          483
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          484
        </labl>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          485
        </labl>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          486
        </labl>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          487
        </labl>
      </catgry>
      <catgry>
        <catValu>
          488
        </catValu>
        <labl>
          488
        </labl>
      </catgry>
      <catgry>
        <catValu>
          489
        </catValu>
        <labl>
          489
        </labl>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          490
        </labl>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          491
        </labl>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          492
        </labl>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          493
        </labl>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          494
        </labl>
      </catgry>
      <catgry>
        <catValu>
          495
        </catValu>
        <labl>
          495
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          496
        </labl>
      </catgry>
      <catgry>
        <catValu>
          497
        </catValu>
        <labl>
          497
        </labl>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          498
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          499
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Days - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Weeks - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Months - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Years - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2069" name="C_AGE1STSEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age at first intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGE1STSEX (V525) indicates the woman's self-reported age for the first time she had sexual intercourse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not had intercourse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Refused to respond
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          At first union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2070" name="C_AGE1STSEXIMP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age at first intercourse (imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGE1STSEXIMP (V531) reports the respondent's age at first sexual intercourse.

This variable is the same as AGE1STSEX (V525), except for women who reported their first sexual intercourse was at the time of their union. For these women, the age at first sex is taken from the age at first union. In cases where the age at first sex was inconsistent with the age at conception of the first child, but only by one year, the age at first sex was reduced by one year.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Refused to respond
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2071" name="C_AGE1STSEXFLAG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Flag for age at first intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGE1STSEXFLAG (V532) is a flag variable reporting the type of inconsistency found when editing responses about when the respondent first had sexual intercourse.

Below are descriptions of each code:

0 = No flag
1 = Respondent reported age at first sexual intercourse that exceeds her current age (AGE (V012))
2 = Respondent reported her age at first sexual intercourse as occurring more than one year after the conception of her first child
3 = Respondent reported her age at first sexual intercourse as occurring up to one year after the conception of her first child
4 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but the respondent was never married (EVERMARRIED (V535))
5 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but her first marriage occurred after the conception of her first child
6 = Respondent reported her first sexual intercourse as being some time after her first marriage]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          After interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          After conception by 1 year or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          After conception by less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          At marriage, but never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          At marriage, but after conception
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          After marriage
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2072" name="C_SX1STPARAGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age of first sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women, SX1STPARAGE (V830) reports the age of the woman's first sexual partner.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2073" name="C_SX1STPARELAGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        First sexual partner younger, same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women, SX1STPARELAGE (V831) reports whether the woman's first sexual partner was younger, about the same age, or older than her.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2074" name="C_SX1STCULTURE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        First sex part of a cultural practice/ritual
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SX1STCULTURE indicates whether the woman's first sexual intercourse was part of a cultural practice or ritual.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/remember
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2075" name="C_SXPARLIFENO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Lifetime total number of sexual partners
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPARLIFENO (V836) reports the woman's lifetime total number of sex partners.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2076" name="C_SXCULTUREVER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever had sexual intercourse as part of a cultural practice/ritual
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women whose first sexual intercourse was not part of a cultural practice or ritual, SXCULTUREVER indicates whether the woman has ever had sexual intercourse as part of a cultural practice or ritual.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2077" name="C_NOSEXSTD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        When okay to refuse sex: Husband has STD
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NOSEXSTD (V633A) indicates whether the woman believes a wife is justified in refusing to have sex with her husband if she knows he has a sexually transmittable infection.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2078" name="C_CON1STSEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Condom used at first sexual intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CON1STSEX (V820) indicates whether the young woman used a condom the first time she had sexual intercourse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know / don't remember
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2079" name="C_CONASKIFSTI" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Wife justified to ask condom use if husband has STI
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONASKIFSTI (V822) indicates whether the woman believes a wife is justified in asking her husband to use a condom if he has an infection or disease that can be transmitted through sexual intercourse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2080" name="C_CONTCHKIDS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Thinks children should be taught about condoms
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONTCHKIDS (V780) indicates whether the woman thinks children ages 12-14 should be taught about condoms to avoid getting AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2081" name="C_CONASKPAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman can ask partner to use condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONASKPAR (V850B) indicates whether the woman can ask her husband or cohabiting partner to use a condom.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/not sure/depends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2082" name="C_CONEVERYPAR1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Used condom every time had sex with most recent partner, past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONEVERYPAR1 (V833A) indicates whether the woman used a condom every time she had sex with her most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2083" name="C_CONEVERYPAR2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Used condom every time had sex with 2nd most recent partner, past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONEVERYPAR2 (V833B) indicates whether the woman used a condom every time she had sex with her second most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2084" name="C_CONEVERYPAR3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Used condom every time had sex with 3rd most recent partner, past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONEVERYPAR3 (V833C) indicates whether the woman used a condom every time she had sex with her third most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2085" name="C_CONUSMAN1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Condom used during woman's most recent intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONUSMAN1 (V761) indicates whether the woman used a condom the last time she had sex with her most recent sex partner (from the last 12 months).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, male condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, female condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2086" name="C_CONUSMAN2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Condom used in woman's last intercourse with 2nd most recent partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONUSMAN2 (V761B) indicates whether the woman used a condom the last time she had sex with her second most recent sex partner (from the last 12 months).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, male condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, female condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2087" name="C_CONUSMAN3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Condom used in woman's last intercourse with 3rd most recent partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONUSMAN3 (V761C) indicates whether the woman used a condom the last time she had sex with her third most recent sex partner (from the last 12 months).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, male condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, female condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2088" name="C_CONFCAN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Could get herself: Female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONFCAN (V769A) indicates whether the woman can get a female condom for herself.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2089" name="C_CONMCAN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Could get herself: Male condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONMCAN (V769) indicates whether the woman can get a male condom for herself.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2090" name="C_HCMDK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Do not know a source for male condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMDK (V762AZ) indicates whether the woman did not know a source to obtain male condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, respondent knows a source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, do not know a source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2091" name="C_HCMPUBHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBHOS (V762AA) indicates whether the woman reported a "government hospital" as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPUBHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2092" name="C_HCMPUBHC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Public health center/post
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBHC (V762AB) indicates whether the woman reported a public health center or health post as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as HCMPUBHC, while preserving the separate responses in country-specific variables.

Due to variability in response category wording, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2093" name="C_HCMPUBMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mobile clinic (public)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBMOB (V762AD) indicates whether the woman reported a "public mobile clinic" as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPRIVMOB (private mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2094" name="C_HCMPUBFW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBFW (V762AE) indicates whether the woman reported a public fieldworker as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public field workers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPUBFW.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2095" name="C_HCMPUBOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Other public source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBOTH (V762AF) indicates whether the woman reported some other public facility as a source for male condoms. The meaning of "other" depends on the sources for male condoms specified in a given sample.

See HCMPRIVOTH (other private medical sector) and HCMOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2096" name="C_HCMPRIVHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private hospital, clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVHOS (V762AJ) indicates whether the woman reported a "private hospital/clinic" as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private hospitals/clinics that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2097" name="C_HCMPRIVDRUG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private pharmacy, drug store, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVDRUG (V762AK) indicates whether the woman reported a private pharmacy, drug store, or dispensary as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private, formal drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVDRUG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2098" name="C_HCMPRIVMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVMOB (V762AM) indicates whether the woman reported a "private mobile clinic" as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPUBMOB (public mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2099" name="C_HCMPRIVFW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVFW (V762AN) indicates whether the woman reported a private fieldworker as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private fieldworkers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVFW.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2100" name="C_HCMPRIVFPC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Family planning clinic (private)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVFPC indicates whether the woman reported a private family planning clinic or association as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPUBFPC (public family planning clinic or association).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2101" name="C_HCMPRIVMIS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Religious/mission hospital, health center, clinic, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVMIS indicates whether the woman reported a faith-based health facility as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVMIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2102" name="C_HCMPRIVOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Other private source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVOTH indicates whether the woman reported some other private medical facility or organization as a source for male condoms. The meaning of "other" depends on the sources for male condoms specified in a given sample.

See HCMPUBOTH (other public medical sector) and HCMOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2103" name="C_HCMSHOP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Shop (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMSHOP (V762AS) indicates whether the woman reported a "shop" as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMSHOP.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2104" name="C_HCMCHURCH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Church (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMCHURCH (V762AT) indicates whether the woman reported a "church" or "religious institution" (for example mosques and temples) as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPRIVMIS (faith-based health facility).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2105" name="C_HCMFRND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Friends/relatives (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMFRND (V762AU) indicates whether the woman reported "friends, acquaintances or relatives" as a source for male condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2106" name="C_HCMOTHER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMOTHER (V762AX) indicates whether the woman reported some other (non-public or not private medical sector) facility as a source for male condoms.  The meaning of "other" depends on the sources for male condoms specified in a given sample.

See HCMPUBOTH (other public medical sector) and HCMPRIVOTH (other private medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2107" name="C_HCFDK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Do not know a source for female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFDK (V762BZ) indicates whether the woman did not know a source to obtain female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, knows a source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, don't know source for female condoms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2108" name="C_HCFPUBHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBHOS (V762BA) indicates whether the woman reported a public hospital as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFPUBHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2109" name="C_HCFPUBHC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Public health center/post
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBHC (V762BB) indicates whether the woman reported a public health center or post as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as HCFPUBHC, while preserving the separate responses in country-specific variables. See the Comparability section and Survey Text tab for more details.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2110" name="C_HCFPUBMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mobile clinic (public)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFPUBMOB (V762BD) indicates whether the woman reported a public "mobile clinic" as a source for female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2111" name="C_HCFPUBFW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBFW (V762BE) indicates whether the woman reported a "public field worker" or "community-based distributor" as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as HCFPUBFW, while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2112" name="C_HCFPUBOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Other public source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBOTH (V762BF) indicates whether the woman reported some other public facility as a source for female condoms.

See HCFPRIVOTH (other private medical sector) and HCFOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2113" name="C_HCFPRIVHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private hospital, clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVHOS (V762BJ) indicates whether the woman reported a private hospital or clinic as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2114" name="C_HCFPRIVDRUG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private pharmacy, drug store, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVDRUG (V762BK) indicates whether the woman reported a private pharmacy, drug store, or dispensary as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private, formal drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFPRIVDRUG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2115" name="C_HCFPRIVMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFPRIVMOB (V762BM) indicates whether the woman reported a "private mobile clinic" as a source for female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2116" name="C_HCFPRIVFW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVFW (V762BN) indicates whether the woman reported a "private field worker" or private/NGO "community-based distributor" as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2117" name="C_HCFPRIVMIS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Religious/mission hospital, health center, clinic, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVMIS indicates whether the woman reported a mission or religious health facility as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFPRIVMIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2118" name="C_HCFPRIVOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Other private source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVOTH (V762BO) indicates whether the woman reported some other private facility as a source for female condoms.

See HCFPUBOTH (other public medical sector) and HCFOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2119" name="C_HCFSHOP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Shop (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFSHOP (V762BS) indicates whether the woman reported a "shop" as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFSHOP.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2120" name="C_HCFCHURCH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Church (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFCHURCH (V762BT) indicates whether the woman reported a "church" or "religious institution" (for example, mosques and temples) as a source for female condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCFPRIVMIS (faith-based health facility).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2121" name="C_HCFFRND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Friends/relatives (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFFRND (V762BU) indicates whether the woman reported "friends or relatives" as a source for female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2122" name="C_HCFOTHER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFOTHER (V762BX) indicates whether the woman reported some other (non-public or not private medical sector) place as a source for female condoms. The meaning of "other" depends on the specific sources for female condoms identified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2123" name="C_HCFMW2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW2 indicates whether the woman reported a "mission health center" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW2 is combined with HCFMW3 (mission hospital), HCFMW4 (mission mobile clinic), and HCFMW9 (mission door-to-door) in HCFPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. 

Additionally, HCFMW2 is combined with HCFMW3 and HCFMW4 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCFMW2 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2124" name="C_HCFMW3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW3 indicates whether the woman reported a "mission hospital" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW3 is combined with HCFMW2 (mission health center), HCFMW4 (mission mobile clinic), and HCFMW9 (mission door-to-door) in HCFPRIVMIS (all faith-based facilities) for the 2010 Malawi sample.

Additionally, HCFMW3 is combined with HCFMW2 and HCFMW4 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCFMW3 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2125" name="C_HCFMW4" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission mobile clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW4 indicates whether the woman reported a "mission mobile clinic" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW4 is combined with HCFMW2 (mission health center), HCFMW3 (mission hospital), and HCFMW9 (mission door-to-door) in HCFPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. 

Additionally, HCFMW4 is combined with HCFMW2 and HCFMW3 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCFMW4 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2126" name="C_HCFMW6" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Health Surveillance Assistant (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW6 indicates whether the woman reported a "health surveillance assistant (HSA)" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW6 is combined with HCFMW8 (CBDA/door-to-door) in HCFPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCFMW6 are encouraged to review HCFPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2127" name="C_HCFMW7" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Youth drop-in center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFMW7 indicates whether the woman reported a "youth drop-in center" as a source for female condoms. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2128" name="C_HCFMW8" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: CBDA/Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW8 indicates whether the woman reported a "CBDA [community-based distribution agent/door-to-door" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW8 is combined with HCFMW6 (HSA) in HCFPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCFMW6 are encouraged to review HCFPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2129" name="C_HCFMW9" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission door to door (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW9 indicates whether the woman reported a "mission door-to-door" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW9 is combined with HCFMW2 (mission health center), HCFMW3 (mission hospital), and HCFMW4 (mission mobile clinic) in HCFPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCFMW9 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2130" name="C_HCMMW1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW1 indicates whether the woman reported a "mission hospital" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW1 is combined with HCMMW2 (mission health center), HCMMW3 (mission mobile clinic), and HCMMW9 (mission door-to-door) in HCMPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. 

Additionally, HCMMW1 is combined with HCMMW2 and HCMMW3 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCMMW1 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2131" name="C_HCMMW2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW2 indicates whether the woman reported a "mission health center" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW2 is combined with HCMMW1 (mission hospital), HCMMW3 (mission mobile clinic), and HCMMW9 (mission door-to-door) in HCMPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample.

Additionally, HCMMW2 is combined with HCMMW1 and HCMMW3 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCMMW2 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2132" name="C_HCMMW3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission mobile clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW3 indicates whether the woman reported a "mission mobile clinic" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW3 is combined with HCMMW1 (mission hospital), HCMMW2 (mission health center), and HCMMW9 (mission door-to-door) in HCMPRIVMIS (all faith-based facilities) for the 2010 Malawi sample.

Additionally, HCMMW3 is combined with HCMMW1 and HCMMW2 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCMMW3 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2133" name="C_HCMMW5" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Government health post/outreach (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMMW5 indicates whether the woman reported a "government health post or outreach" as a source for male condoms. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2134" name="C_HCMMW6" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Health Surveillance Assistant (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW6 indicates whether the woman reported a "health surveillance assistant (HSA)" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW6 is combined with HCMMW8 (CBDA/door-to-door) in HCMPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCMMW6 are encouraged to review HCMPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2135" name="C_HCMMW7" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Youth drop-in center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMMW7 indicates whether the woman reported a "youth drop-in center" as a source for male condoms. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2136" name="C_HCMMW8" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: CBDA/Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW8 indicates whether the woman reported a "CBDA [community-based distribution agent/door-to-door" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW8 is combined with HCMMW6 (HSA) in HCMPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCMMW6 are encouraged to review HCMPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2137" name="C_HCMMW9" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission door to door (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW9 indicates whether the woman reported a "mission door-to-door" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW9 is combined with HCMMW1 (mission hospital), HCMMW2 (mission health center), and HCMMW3 (mission mobile clinic) in HCMPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCMMW9 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2138" name="C_STIHEARD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard of AIDS or other sexually transmitted infections
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STIHEARD (V750) indicates whether the woman had heard of AIDS or any other sexually transmitted infection (STI).

For a variable that indicates whether the respondent had heard of STIs other than AIDS, see STIHEARDOTH (V785). For a variable that indicates whether the respondent had heard of AIDS specifically, see AIDSHEARD (V751).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2139" name="C_STIHEARDOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard about other STDs
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STIHEARDOTH (V785) indicates whether the woman has heard of any sexually transmitted infection other than AIDS.

For a variable that records whether the respondent has heard of AIDS or any other STIs, see STIHEARD (V750).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2140" name="C_STIANYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Had any sexually transmitted infection in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        STIANYR (V763A) indicates whether the woman had any sexually transmitted infection in the last 12 months. How this information was collected changed over time. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2141" name="C_STIDISCHGYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Had genital discharge in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        STIDISCHGYR (V763C) indicates whether the woman had any bad smelling abnormal genital discharge in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2142" name="C_STISOREYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Had genital ulcer/sore in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        STISOREYR (V763B) indicates whether the woman had a sore or genital ulcer in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2143" name="C_STIADVICE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought advice for last STI
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had a sexually-transmitted infection (STI), abnormal genital discharge, or genital sore/ulcer in the past 12 months, STIADVICE (V770) indicates whether they sought advice or treatment for this problem.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2144" name="C_STIADPUBHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBHOS indicates whether, in response to an open-ended question, they repeated seeking advice or treatment from a public hospital for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in STIADPUBHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2145" name="C_STIADPUBHC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBHC indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public hospital for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in STIADPUBHC.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2146" name="C_STIADPUBHP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Public health post
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBHP indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public health post for this problem. 

IPUMS-DHS users should be careful to distinguish this variable from STIADHPDISP, a standard variable indicating whether the woman sought advice from a health post or a dispensary.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2147" name="C_STIADPUBOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Other public
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBOTH indicates whether, in response to an open-ended question, they reported seeking advice or treatment from some "other" public medical facility for this problem. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from STIADPRIVOTH ("other" under the private medical sector) and STIADOTHER ("other" not under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2148" name="C_STIADPRIVHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Private hospital/clinic/doctor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPRIVHOS indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a private hospital, clinic, or doctor for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2149" name="C_STIADPRIVMIS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Religious/mission hospital, health center, or clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPRIVMIS indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a faith-based health facility for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in STIADPRIVMIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2150" name="C_STIADPRIVOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Other private medical
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPRIVOTH indicates whether, in response to an open-ended question, they reported seeking advice or treatment from some "other" private medical facility for this problem. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from STIADPUBOTH ("other" under the public medical sector) and STIADOTHER ("other" that is not under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2151" name="C_STIADOTHER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADOTHER indicates whether, in response to an open-ended question, they reported seeking advice or treatment from some "other" source for this problem. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from STIADPUBOTH ("other" under the public medical sector) and STIADPRIVOTH ("other" under the private medical sector). STIADOTHER includes those "other" categories that do not fit into the public or private medical sector.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2152" name="C_STIADMW1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Private hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW1 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a private hospital/clinic/doctor for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW1 is combined with STIADMW2 (private company hospital/clinic) in STIADPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW1 are encouraged to review STIADPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2153" name="C_STIADMW2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Private company hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW2 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a private company hospital/clinic for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW2 is combined with STIADMW1 (private hospital/clinic/doctor) in STIADPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW2 are encouraged to review STIADPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2154" name="C_STIADMW3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW3 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public "door to door" for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW3 is combined with STIADMW4 (public health surveillance assistant (HSA)) in STIADPUBFW (all public field workers) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW3 are encouraged to review STIADPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2155" name="C_STIADMW4" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Health surveillance assistant (HSA) (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW4 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public health surveillance assistant (HSA) for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW4 is combined with STIADMW3 (public "door to door") in STIADPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW4 are encouraged to review STIADPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2156" name="C_STIADMW5" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW5 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a religious hospital for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW5 is combined with STIADMW6 (religious health center) in STIADPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW5 are encouraged to review STIADPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2157" name="C_STIADMW6" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW6 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a religious health center for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW6 is combined with STIADMW5 (religious hospital) in STIADPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW6 are encouraged to review STIADPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2158" name="C_STIADMW7" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: MACRO (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW7 indicates whether, in response to an open-ended question they reported seeking advice or treatment from MACRO [Malawi AIDS Counseling and Resource Organization] for this problem. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2159" name="C_DVAARGUE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman argues with him
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAARGUE (V744C) indicates whether the woman believes a husband is justified in hitting or beating his wife if she argues with him.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2160" name="C_DVABURNFOOD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman burns food
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVABURNFOOD (V744E) indicates whether the woman believes a husband is justified in hitting or beating his wife if she burns the food.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2161" name="C_DVAGOOUT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman goes out without telling him
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAGOOUT (V744A) indicates whether the woman believes a husband is justified in hitting or beating his wife if she goes out without telling him.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2162" name="C_DVAIFNOSEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman refused to have sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAIFNOSEX (V744D) indicates whether the woman believes a husband is justified in hitting or beating his wife if she refuses to have sex with him.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2163" name="C_DVANEGKID" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman neglects the children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVANEGKID (V744B) indicates whether the woman believes a husband is justified in hitting or beating his wife if she neglects the children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2164" name="C_DVAPRESHUSB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Husband present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DVAPRESHUSB (V812) indicates whether the woman's husband or partner was present when survey questions regarding the woman's attitudes on wife-beating were asked. 
This variable relates to the interviewer's observation and is not asked of the woman directly.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2165" name="C_DVAPRESOMALE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Other males present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAPRESOMALE (V813) indicates whether a male who is not the woman's husband or partner was present when survey questions regarding the woman's attitudes on wife-beating were asked. This variable relates to the interviewer's observation and is not asked of the woman directly.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2166" name="C_DVAPRESOFEM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Other females present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAPRESOFEM (V814) indicates whether another female was present when survey questions regarding the woman's attitudes on wife-beating were asked. This variable relates to the interviewer's observation and is not asked of the woman directly.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2167" name="C_DVAPRESKIDS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Children present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAPRESKIDS (V811) indicates whether any children under the age of ten were present when survey questions regarding the woman's attitudes on wife-beating were asked. This variable relates to the interviewer's observation and is not asked of the woman directly.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2168" name="C_DVCCHEAT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Husband accuses her of unfaithfulness
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCCHEAT (D101B) indicates whether their husband frequently accused them of being unfaithful.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, accuses her of unfaithfulness
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2169" name="C_DVCFAMILY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Husband tries to limit her contact with family
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCFAMILY (D101D) indicates whether their husband tried to limit their contact with family.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, limits contact with her family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2170" name="C_DVCJEALOUS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Husband jealous if talking with other men
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCJEALOUS (D101A) indicates whether their husband was jealous or angry when they talked to other men.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, jealous if she talks to men
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2171" name="C_DVCLOCATION" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Husband insists on knowing where she is
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCLOCATION (D101E) indicates whether their husband insisted on knowing where they were at all times.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, insists on knowing where she is
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2172" name="C_DVCMEETFRND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Husband does not permit her to meet her girlfriends
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCMEETFRND (D101C) indicates whether their husband did not allow them to meet their female friends.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, doesn't let her meet girlfriends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2173" name="C_DVCMONEY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Husband doesn't trust her with money
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCMONEY (D101F) indicates whether their husband didn't trust them with money.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, husband doesn't trust her with money
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2174" name="C_DVCTOTAL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of control issues
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCTOTAL (D102) reports the total number of control issues exhibited by their husband. Control issues include jealousy, limitations on contact with family and friends, accusations of cheating, insistence upon always knowing a woman's location, and, often, distrust with money.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2175" name="C_DVEEVER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever any emotional violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEEVER (D104) indicates whether they ever experienced any emotional violence from their husband/partner. Emotional violence includes humiliation, insults, and threats of harm.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2176" name="C_DVEHUMIL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever humiliated her
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEHUMIL (D103A) indicates whether their husband/partner had ever said or done something to humiliate them in front of others.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2177" name="C_DVEHUMILFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency of humiliation
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEHUMILFQ reports how often their husband/partner said or did something to humiliate them in front of others in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not humiliated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, ever humiliated, know frequency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, but not at all in the last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2178" name="C_DVEINSULT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever insulted or made feel bad
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEINSULT (D103C) indicates whether their husband/partner ever insulted them or made them feel bad about themselves.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2179" name="C_DVEINSULTFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency of insults or making feel bad
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEINSULTFQ reports how often the female respondent's husband/partner had insulted her or made her feel bad about herself in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not insulted/made feel bad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, but timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, ever insulted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2180" name="C_DVETHREAT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever threatened with harm
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVETHREAT (D103B) indicates whether their husband/partner ever threatened to hurt them or harm someone close to them.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2181" name="C_DVETHREATFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency of threats of harm in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married, DVETHREATFQ reports how often the respondent's husband/partner had threatened to hurt or harm her or someone close to her in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not threatened
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, ever threatened
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, but not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2182" name="C_DVPAHITMA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Did her father ever beat her mother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVPAHITMA (D121) indicates whether the woman's father ever beat her mother.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, father did not hit mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, father hit mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2183" name="C_DVPPUSH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever pushed, shook, or threw something
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUSH (D105A) indicates whether her husband/partner ever pushed her, shook her, or threw something at her.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2184" name="C_DVPPUSHFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency spouse pushed, shook, or threw something
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUSHFQ reports how often the woman had been pushed, shaken, or had something thrown at her by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not pushed or shaken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever pushed or shaken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2185" name="C_DVPSLAP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever slapped
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSLAP (D105B) indicates whether the woman's husband/partner ever slapped her.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2186" name="C_DVPSLAPFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency slapped by partner, last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSLAPFQ reports how often the woman was slapped by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not ever slapped
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever slapped
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2187" name="C_DVPTWIST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever twisted her arm or pulled her hair
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPTWIST (D105J) indicates whether the woman's husband/partner ever twisted her arm or pulled her hair.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2188" name="C_DVPTWISTFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency arm twisted or hair pulled by partner in last 12 month
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPTWISTFQ reports how often the woman's arm was twisted or her hair was pulled by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never had arm twisted or hair pulled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever arm twisted or hair pulled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2189" name="C_DVPPUNCH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever punched with fist or something harmful
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUNCH (D105C) indicates whether the woman's husband/partner ever punched her with a fist or with something that could hurt her.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2190" name="C_DVPPUNCHFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency of being punched or hit with object
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUNCHFQ reports how often the woman was punched by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not punched
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever punched, know frequency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2191" name="C_DVPCHOKE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever tried to strangle or burn
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and ever married or lived with a man, DVPCHOKE (D105E) indicates whether the husband/partner ever tried to strangle or burn her on purpose.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2192" name="C_DVPCHOKEFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency of husband's attempts to strangle or burn
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPCHOKEFQ reports how often the woman's husband/partner attempted to strangle or burn her in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not attempted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, husband ever tried to strangle or burn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2193" name="C_DVPKICK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever kicked or dragged
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKICK (D105D) indicates whether the woman's husband/partner had ever kicked her, dragged her, or beaten her up.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2194" name="C_DVPKICKFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency of being kicked or dragged
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKICKFQ reports how often the woman was kicked or dragged by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not kicked or dragged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever kicked or dragged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2195" name="C_DVPKNFTHUSE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever threatened or attacked with knife/gun
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKNFTHUSE (D105F) indicates whether the woman's husband/partner ever threatened or attacked her with a knife, gun, or other weapon.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2196" name="C_DVPKNFTHUSEF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency of spouse's threats or attacks with knife/gun
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKNFTHUSEF reports how often the woman was threatened or attacked with a knife, gun, or other weapon by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not threatened or attacked with weapon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever threatened or attacked
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2197" name="C_DVP1STTIME" files="F2" dcml="0" intrvl="discrete">
      <labl>
        First time violence happened, in years after marriage
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and experienced physical or sexual violence from their husband/partner, DVP1STTIME (D109) reports how long after marriage/cohabitation the abuse first happened.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Before union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          After separation/divorce
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2198" name="C_DVPMSEVER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever experienced any severe violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPMSEVER (D107) indicates whether the woman ever experienced "more severe" violence from her husband/partner. The specific acts that are considered "more severe" vary across samples. See the "Comparability" tab for more information.

The complementary variable DVPLSEVER indicates a woman's experience with "less severe" violence from a husband or partner.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2199" name="C_DVPLSEVER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever experienced any less severe violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPLSEVER (D106) indicates whether the woman ever experienced "less severe" violence from her husband/partner. The specific acts that are considered "less severe" vary across samples. See the "Comparability" tab for more information.

The complementary variable DVPMSEVER indicates the woman's experience with "more severe" violence from a husband or partner.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2200" name="C_DVRBRUISE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever had bruises because of husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence from their husband/partner, DVRBRUISE (D110A) indicates whether the woman ever had bruises or aches because of her husband/partner's actions.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2201" name="C_DVRINJURY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever had injury, sprain, or burns from husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual violence from their husband/partner, DVRINJURY (D110B) indicates whether, because of her husband's/partner's actions, the woman ever suffered some "other" injury not covered by the complementary variable DVRSERINJURY (D110D).

The particular injuries covered by DVRINJURY vary across samples. Please consult the "Comparability" tab for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2202" name="C_DVRSERINJURY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever had wounds, broken bones/teeth from husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence from their husband/partner, DVRSERINJURY (D110D) indicates whether the woman ever suffered serious injury--such as deep wounds, broken bones, or broken teeth--because of her husband/partner's actions.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2203" name="C_DVRANY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Any physical results of husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence from their husband/partner, DVRANY (D111) indicates whether the woman ever had any physical results of her husband/partner's actions. The specific results vary across samples. See the "Comparability" tab for more information.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2204" name="C_DVPSEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever physically forced sex when not wanted
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEX (D105H) indicates whether the woman's husband/partner ever physically forced her to have sexual intercourse even when she did not want to.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2205" name="C_DVPSEXFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency spouse physically forced sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXFQ reports how often the woman was forced to have sexual intercourse by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not physically forced sexually
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever forced sexually
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2206" name="C_DVPSEXOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever forced other sexual acts when not wanted
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXOTH (D105I) indicates whether the woman's husband/partner ever forced her to perform any sexual acts she did not want to.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2207" name="C_DVPSEXOTHFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency spouse forced other sex act
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXOTHFQ reports how often the woman was forced to perform sex acts by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not physically forced other sex act
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever forced other sex act
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2208" name="C_DVPSEXEVER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever experienced any sexual violence from partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXEVER (D108) indicates whether the woman ever experienced any sexual violence from her husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2209" name="C_DVDRINKS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Partner drinks alcohol
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVDRINKS (D113) indicates whether their husband/partner drank alcohol.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2210" name="C_DVDRINKSFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency partner gets drunk
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had a husband/partner who drank alcohol, DVDRINKSFQ (D114) reports how often their husband/partner got drunk.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sometimes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Often
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2211" name="C_DVHITHUSB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever physically hurt husband when he was not hurting her
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVHITHUSB (D112) indicates whether they ever physically hurt their husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2212" name="C_DVHITHUSBFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        How often physically hurt husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and ever physically hurt their husband/partner, DVHITHUSBFQ (D112A) reports how often she physically hurt him in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sometimes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Often
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yes, but frequency and timing unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2213" name="C_DVINTERRHUS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Interview interruption due to presence of adult: Other Husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVINTERRHUS (D122A) indicates whether the domestic violence interview was interrupted due to the presence of the female respondent's husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2214" name="C_DVINTERRMALE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Interview interruption due to presence of adult: Other male
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVINTERRMALE (D122B) indicates whether the domestic violence interview was interrupted due to the presence of an adult male other than the woman's own husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2215" name="C_DVINTERRFEM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Interview interruption due to presence of adult: Other female
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVINTERRFEM (D122C) indicates whether the domestic violence interview was interrupted due to the presence of another adult female.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2216" name="C_DV1SEXFORCED" files="F2" dcml="0" intrvl="discrete">
      <labl>
        First intercourse was forced or wanted
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DV1SEXFORCED (D123) indicates whether the respondent's first sexual intercourse was wanted or forced.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Wanted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused to answer/no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2217" name="C_DV1SEXACTWHO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Person who forced woman to first sexual activity
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been forced sexually, DV1SEXACTWHO (D127) reports who forced them to have sexual intercourse or perform other sexual acts the first time.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Husband/partner/boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Current husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Former husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Current/former boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Parent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Father or step-father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Step-father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Father-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Relative other than parent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Brother/step brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Step-brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          In-law, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Grandfather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Other relative, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Own friend/acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Family friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other role
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Teacher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Employer/someone at work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Neighbor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Police/soldier
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Priest/religious leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Stranger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Landlord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2218" name="C_DV1SEXACTAGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age at first forced sexual activity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been forced sexually, DV1SEXACTAGE (D126) reports the respondent's age at the time they were first forced to have sexual intercourse or perform other sexual acts.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don’t know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2219" name="C_DVSEXFORCYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Anyone other than partner forced sex in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVSEXFORCYR (D124) indicates whether anyone other than her husband or partner had forced the woman to have sexual intercourse in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused to answer/no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2220" name="C_DVSEXACTSEV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Anyone ever forced woman to perform sex acts
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVSEXACTSEV (D125) indicates whether anyone had ever forced the woman in any way to have sexual intercourse or perform other sexual acts.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused to answer/no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2221" name="C_DVPREGANY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Hurt by any person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGANY (D118Y) indicates whether they had been physically hurt by anyone during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, not hurt during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by anyone during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2222" name="C_DVPREGHUSB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGHUSB (D118A) indicates whether they had been physically hurt by their current husband or partner during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by husband during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2223" name="C_DVPREGEXPART" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Former partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGEXPART (D118J) indicates whether they had been physically hurt by their former husband/partner during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former partner during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2224" name="C_DVPREGBFNOW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Current boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGBFNOW (D118K) indicates whether they had been physically hurt by their current boyfriend during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by current boyfriend during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2225" name="C_DVPREGBFEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Former boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGBFEX (D118L) indicates whether they had been physically hurt by their former boyfriend during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former boyfriend during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2226" name="C_DVPREGMA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Mother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMA (D118B) indicates whether they had been physically hurt by their mother during their pregnancy. 

For a variable that combines "mother" and "step-mother" response categories in this series for some samples, see DVPREGMABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2227" name="C_DVPREGMASTEP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Stepmother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMASTEP (D118M) indicates whether they had been physically hurt by their step-mother during their pregnancy.

For a variable that combines "mother" and "step-mother" response categories in this series for some samples, see DVPREGMABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-mother during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2228" name="C_DVPREGMALAW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Mother-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMALAW (D118O) indicates whether they had been physically hurt by their mother-in-law during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother-in-law during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2229" name="C_DVPREGPA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Father
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPA (D118C) indicates whether they had been physically hurt by their father during their pregnancy. 

For a variable that combines "father" and "step-father" response categories in this series for some samples, see DVPREGPABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2230" name="C_DVPREGPASTEP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Stepfather
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPASTEP (D118N) indicates whether they had been physically hurt by their step-father during their pregnancy. 

For a variable that combines "father" and "step-father" response categories in this series for some samples, see DVPREGPABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-father during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2231" name="C_DVPREGPALAW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Father-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPALAW (D118P) indicates whether they had been physically hurt by their father-in-law during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father-in-law during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2232" name="C_DVPREGSIBL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Brother or sister
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGSIBL (D118F) indicates whether they had been physically hurt by their sister or brother during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by sister or brother during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2233" name="C_DVPREGCHILD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Daughter or son
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGCHILD (D118D) indicates whether they had been physically hurt by their daughter or son during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by daughter or son during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2234" name="C_DVPREGOTHFAM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Other relative
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGOTHFAM (D118G) indicates whether they had been physically hurt by some other relative during their pregnancy. The meaning of "other" relative depends on the types of relatives specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other relative during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2235" name="C_DVPREGOTHLAW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Other in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGOTHLAW (D118Q) indicates whether they had been physically hurt by some other in-law during their pregnancy. The meaning of "other" in-law depends on the categories of in-laws specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other in-law during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2236" name="C_DVPREGBOSS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Employer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGBOSS (D118W) indicates whether they had been physically hurt by their employer during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by employer during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2237" name="C_DVPREGPOL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Police
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPOL (D118XE) indicates whether they had been physically hurt by a police officer or soldier during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by police during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2238" name="C_DVPREGMED" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Medical personnel
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMED (D118XI) indicates whether they had been physically hurt by medical personnel during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by medical personnel during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2239" name="C_DVPREGTCH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Teacher
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGTCH (D118V) indicates whether they had been physically hurt by a teacher (gender unspecified) during a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by teacher during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2240" name="C_DVPREGOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Other person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGOTH (D118X) indicates whether they had been physically hurt by some other person during their pregnancy. The meaning of "other" depends on the specific categories included in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other person during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2241" name="C_DVOANY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physically hurt by anyone other than husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOANY (D115Y) indicates whether anyone other than the woman's husband/partner had slapped, hit, kicked, or otherwise physically hurt her since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused / no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2242" name="C_DVOFQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Frequency hit by other than partner in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were physically attacked by someone other than their husband/partner since age 15, DVOFQ (D117A) reports the frequency of such attacks in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Does occur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Seldom/once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Often
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Widowed/separated/divorced, no info
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2243" name="C_DVOEXPART" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Former partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOEXPART (D115J) indicates whether they had been physically hurt by their former, but not most recent, husband/partner since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2244" name="C_DVOBFNOW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Current boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOBFNOW (D115K) indicates whether they had been physically hurt by their current boyfriend since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by current boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2245" name="C_DVOBFPAST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Former boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOBFPAST (D115L) indicates whether they had been physically hurt by their former boyfriend since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2246" name="C_DVOMA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Mother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOMA (D115B) indicates whether they had been physically hurt by their mother since age 15. 

See DVOMABOTH for a variable that combines "mother" and "step-mother" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2247" name="C_DVOMASTEP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Stepmother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOMASTEP (D115M) indicates whether they had been physically hurt by their stepmother since age 15. 

See DVOMABOTH for a variable that combines "step-mother" and "mother" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2248" name="C_DVOMALAW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Mother-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOMALAW (D115B) indicates whether they had been physically hurt by their mother-in-law since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2249" name="C_DVOPA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Father
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOPA (D115C) indicates whether they had been physically hurt by their father since age 15. 

See DVOPABOTH for a variable that combines "father" and "step-father" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2250" name="C_DVOPASTEP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Stepfather
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOPASTEP (D115N) indicates whether they had been physically hurt by their stepfather since age 15. 

See DVOPABOTH for a variable that combines "step-father" and "father" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2251" name="C_DVOPALAW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Father-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOPALAW (D115P) indicates whether they had been physically hurt by their father-in-law since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2252" name="C_DVOSIBL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Brother or sister
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOSIBL (D115F) indicates whether they had been physically hurt by their brother or sister since age 15. 

For samples with this series that separate brother and sister responses, see variables DVOBRO and DVOSIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by sister or brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2253" name="C_DVOCHILD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Daughter or son
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOCHILD (D115D) indicates whether they had been physically hurt by their daughter or son since age 15. 

For samples with this series that separate whether the respondent was hurt by their daughter or son, see variables DVODAU and DVOSON (D115E).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by daughter or son
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2254" name="C_DVOTHFAM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Other relative
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOTHFAM (D115G) indicates whether they had been physically hurt by some other relative since age 15. The meaning of "other" relative depends on the categories of relatives specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2255" name="C_DVOTHLAW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Other in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOTHLAW (D115Q) indicates whether they had been physically hurt by some other in-law since age 15. The meaning of "other" in-law depends on the types of in-laws specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2256" name="C_DVOBOSS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Employer or someone at work
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOBOSS (D115W) indicates whether they had been physically hurt by their employer or someone at work since age 15. The related variables DVOBOSSM and DVOBOSSF address physical abuse from a male and female employer, respectively.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by employer or someone at work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2257" name="C_DVOPOL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Police
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOPOL (D115XE) indicates whether they had been physically hurt by a police officer or soldier since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by police
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2258" name="C_DVOTCH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Teacher
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOTCH (D115V) indicates whether they had been physically hurt by a teacher (gender unspecified) since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by teacher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2259" name="C_DVOOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Some other person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOOTH (D115X) indicates whether they had been physically hurt by some other person since age 15. The meaning of "other" depends on the specific categories included in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2260" name="C_DVHANY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: No one
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHANY (D119Y) indicates whether they sought help from anyone to stop such abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, did not seek help from anyone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from someone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2261" name="C_DVHHUSPART" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Current/former husband/partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHHUSPART (D119J) indicates whether they sought help from their current/last/late husband or partner to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from current/former husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2262" name="C_DVHBF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Current/former boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHBF (D119K) indicates whether they sought help from their boyfriend to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from current/former boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2263" name="C_DVHFAMOWN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Own family
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHFAMOWN (D119H) indicates whether they sought help from their own family to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from own family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2264" name="C_DVHFAMPART" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Partner's family
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHFAMPART (D119I) indicates whether they sought help from their husband's or partner's family to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from partner's family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2265" name="C_DVHFRND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Friend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHFRND (D119XD) indicates whether they sought help from a friend (gender not specified) to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2266" name="C_DVHNHBR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Neighbor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHNHBR indicates whether they sought help from a neighbor to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from neighbor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2267" name="C_DVHDOCTOR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Doctor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHDOCTOR (D119XH) indicates whether they sought help from a doctor or other medical personnel to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2268" name="C_DVHLAWYER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Lawyer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHLAWYER (D119XG) indicates whether they sought help from a lawyer to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from lawyer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2269" name="C_DVHPOL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Police
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHPOL (D119XE) indicates whether they sought help from the police to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from police
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2270" name="C_DVHCOMLEAD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Community leader
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHCOMLEAD (D119XC) indicates whether they sought help from a community leader to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from community leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2271" name="C_DVHCLERGY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Religious leader
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHCLERGY (D119XF) indicates whether they sought help from a religious leader to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from religious leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2272" name="C_DVHTRADLEAD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Traditional leader
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHTRADLEAD indicates whether they sought help from a traditional authority (such as a chief) to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from traditional leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2273" name="C_DVHBOSS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Employer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHBOSS (D119W) indicates whether they sought help from their employer to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2274" name="C_DVHSSO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Social service association
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHSSO (D119XB) indicates whether they sought help from a social service organization to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from social service organization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2275" name="C_DVHOTHER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Other person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHOTHER (D119X) indicates whether they sought help from some other person to stop that abuse. The meaning of "other" depends on the specific categories identified for help-seeking in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from other person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2276" name="C_DVTOLD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Told anyone else about violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence without seeking help, DVTOLD (D128) indicates whether the woman ever told anyone other than the interviewer about that violence.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2277" name="C_BEDNETSLEPT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman slept under bednet last night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDNETSLEPT (V461) indicates whether the respondent slept under a mosquito bed net the previous night.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, treated bednet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, untreated bednet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2278" name="C_TBEVHEARD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard of TB
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBEVHEARD (V474) indicates whether the woman has ever heard of tuberculosis.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2279" name="C_TBCURABLE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Believes TB can be cured
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBCURABLE (V475) indicates whether the woman believes tuberculosis can be cured.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2280" name="C_TBFAMSECRET" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Would keep TB in family secret
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBFAMSECRET (V476) reports the woman's response to a hypothetical question about whether "if a member of your family got tuberculosis, would you want it to remain a secret?"
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2281" name="C_TBDIAGPRO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Diagnosed with TB by provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBDIAGPRO indicates whether the woman was ever told by a doctor or other healthcare professional that she had tuberculosis.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        TB experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2282" name="C_TBDIAGWHEN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        When diagnosed with TB by provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women ever diagnosed with tuberculosis by a health care professional, TBDIAGWHEN reports how many years ago the diagnosis was made.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 1 year ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1 to 5 years ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          More than 5 years ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        TB experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2283" name="C_TBSPREDSNEZ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Coughing or sneezing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDSNEZ (V474A) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through the air when coughing or sneezing.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2284" name="C_TBSPREDUTEN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Sharing utensils
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDUTEN (V474B) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads by sharing utensils.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2285" name="C_TBSPREDTOUCH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Touch
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDTOUCH (V474C) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through touching a person with the illness.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2286" name="C_TBSPREDFOOD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Food
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDFOOD (V474D) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through food.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2287" name="C_TBSPREDSEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Sexual contact
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDSEX (V474E) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through sexual contact.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2288" name="C_TBSPREDMOSQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Mosquito bites
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDMOSQ (V474F) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through mosquito bites.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2289" name="C_TBSPREDBED" files="F2" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Sharing clothes/bed/towel
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDBED indicates whether the woman stated, in response to an open-ended question, that tuberculosis is spread by sharing clothing, bed linen, or towels.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2290" name="C_TBSPREDSMOK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Smoking
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSREDSMOK indicates whether the woman stated, in response to an open-ended question, that tuberculosis is spread through smoking.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2291" name="C_TBSPREDOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDOTH (V474X) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through some other means. The meaning of "other" must be interpreted relative to the specific categories included in a particular sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2292" name="C_TBSPREDDK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Don't know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDDK (V474Z) indicates whether, in response to an open-ended question, the respondent stated that she does not know how tuberculosis spreads.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2293" name="C_FSEVHAD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ever had fistula
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FSEVHAD indicates whether the woman ever had fistula. Question wording varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2294" name="C_FSAFTDELIVER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Delivery (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who experienced fistula, FSAFTDELIVER indicates whether the condition occurred after delivery or a stillbirth.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, after miscarriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, after delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2295" name="C_FSAFTASSAULT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Sexual assault (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women with fistula that did not occur after delivery, FSAFTASSAULT indicates whether the condition occurred after sexual assault.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2296" name="C_FSAFTPELVIC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Pelvic surgery (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who experienced fistula for reasons other than delivery and sexual assault, FSAFTPELVIC indicates whether the condition occurred after pelvic surgery.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2297" name="C_FSAFTOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Other event (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women with fistula, FSAFTOTH indicates whether the condition occurred after an event other than delivery, sexual assault, or pelvic surgery.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2298" name="C_FSDAYSAFTER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Days after causal event that leakage occurred
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FSDAYSAFTER reports how many days after the causal event (such as delivery) that urinary leakage from fistula occurred.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Same day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2299" name="C_FSDELIVERTYP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of delivery where fistula occurred
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSDELIVERTYP reports the characteristics (normal versus difficult delivery, live birth versus stillbirth outcome) of the delivery causing the female respondent's obstetric fistula. Question wording and response categories vary across surveys. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          During normal labor/delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          During difficult delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          During difficult delivery, live birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          During difficult delivery, stillborn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          During pelvic surgery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2300" name="C_FSDELIVALIVE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Baby born alive in birth causing fistula
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSDELIVALIVE indicates whether the delivery causing the female respondent's fistula resulted in a live birth. Similar information is included for some samples in FSDELIVERTYP.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, stillbirth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, born alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, died in first 7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, died after 7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Yes, still alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2301" name="C_FSSEEKTREAT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sought treatment for fistula
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSSEEKTREAT indicates whether the woman sought treatment for fistula. Question wording varied across surveys. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2302" name="C_FSTREATTIME" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Time after onset of leakage before seeking treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSTREATTIME reports how many months after the onset of leakage that the woman sought treatment for fistula.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1 to 6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          7 to 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          More than 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not in Universe (NIU)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2303" name="C_FSTREATWHO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Person last seen for fistula treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSTREATWHO reports the type of person (health care practitioner or other) whom the woman last saw for fistula treatment.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Heath professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Doctor/ clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Nurse/ midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Health fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Traditional healer/untrained village doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Traditional birth attendent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2304" name="C_FSTREATSUC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Whether fistula treatment was successful
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSTREATSUC indicates whether the fistula treatment for the woman was successful in curing the condition. Codes and question wording vary across surveys. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, no leakage at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, but still some leakage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2305" name="C_TONOSMOKE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Smokes nothing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TONOSMOKE (V463Z) indicates whether the woman does not smoke cigarettes or use any other form of tobacco.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, smokes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, does not smoke or use tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2306" name="C_TOSMOKE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Smokes cigarettes
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOSMOKE (V463A) indicates whether the woman smokes cigarettes.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2307" name="C_TOCIGDAYNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of cigarettes in last 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who smoke, TOCIGDAYNO (V464) reports the number of cigarettes smoked in the last 24 hours.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2308" name="C_TOPIPE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Smokes pipe
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOPIPE (V463B) indicates whether the woman smokes a pipe.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2309" name="C_TOCHEW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Uses chewing tobacco
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOCHEW (V463C) indicates whether the woman uses chewing tobacco.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2310" name="C_TOSNUFF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Uses snuff
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOSNUFF (V463E) indicates whether the woman uses snuff, either by mouth or by nose.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2311" name="C_TOUSEOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Uses other tobacco
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOUSEOTH (V463X) indicates whether the woman uses some other form of tobacco, with the meaning of "other" dependent on the types of tobacco specified in each sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2312" name="C_DELCESRLAST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Last birth caesarean section
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the three to five years before the survey, DELCESRLAST (V401) indicates whether the last-born child was delivered by caesarean section. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes allchildren of the mother to be coded the same way.

Question wording varies slightly across samples. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2313" name="C_PPAMENNOW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman currently postpartum amenorrheic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPAMENNOW (V405) reports whether the woman is currently postpartum amenorrheic. This variable is created from the maternity history by checking if menstruation resumed after birth. Women who are currently pregnant (irrespective of whether the woman's period returned after her last birth) and women who did not have births in the last three to five years are automatically reported as not currently amenorrheic, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2314" name="C_PPABSTAINNOW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman currently postpartum abstaining
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPABSTAINNOW (V406) reports whether the woman is currently postpartum abstaining from sex. This variable is created from the maternity history by checking if the respondent has resumed sexual relations since her last birth. Women who did not have births in the last three to five years are automatically reported as not currently abstaining, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2315" name="C_MATERNITYIDX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of children in maternity history
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MATERNITYIDX (V418) reports the number of entries in the pregnancy and postnatal care history for a female respondent. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, MATERNITYIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, MATERNITYIDX is capped at six.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2316" name="C_HEALTHIDX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of children in immunization/health history
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HEALTHIDX (V418) reports the number of entries (number of children) in the health or immunization history. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, HEALTHIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, HEALTHIDX is capped at six.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2317" name="C_BIOIDX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of children in height and weight table
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOIDX (V419) reports the number of entries (number of children) in the height and weight table. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, BIOIDX is actually limited to the number of columns on the survey form that can be completed. In most cases, BIOIDX is capped at six.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2318" name="C_LASTBIRTHONLY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Whether survey columns are used for last births only
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LASTBIRTHONLY (V468) indicates whether the column(s) on the women's questionnaire relating to pregnancy and postnatal care relate only to last-born children. In the standard questionnaire, some questions are asked about the last-born child only, while in some countries, these questions are asked about all children born in the last three or five years. LASTBIRTHONLY indicates whether the questionnaire followed the standard or was changed to include more children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          See specific questions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Last birth only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          All births in last 5 years
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2319" name="C_BOTTLE24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed last-born child from bottle with nipple in last day or night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years and whose last-born child is still alive, BOTTLE24H (V415) indicates whether the last-born child drank anything from a bottle with a nipple during the previous day and night. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDBOT_01 (M38_01), which also indicates whether the woman gave her last-born child anything from a bottle with a nipple during the previous day and night.

When children are the unit of analysis, BOTTLE24H describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. If the mother reported that she fed her last-born child with a bottle with a nipple during the previous day or night, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

When children are the unit of analysis, a positive response in BOTTLE24H thus does not necessarily indicate that a particular child was actually fed with a bottle with a nipple during the previous day or night. IPUMS-DHS users should instead employ, when available, the variable BRSFEDBOT (M38) to determine whether the specific child in question actually drank anything from a bottle with a nipple during the previous day and night.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2320" name="C_BFEEDANYNOW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman currently breastfeeding any child
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BFEEDANYNOW (V404) indicates whether the woman is currently breastfeeding. If no child was born in the last three to five years, the respondent is assumed to not be breastfeeding. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.

This variable has some variation in how current breastfeeding is determined. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2321" name="C_BFEEDST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        When mother first put last-born child to breast
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years and breastfed their last-born child, BFEEDST (V426) reports the length of time between the birth and when the woman first breastfed her last-born child. Following DHS convention, intervals reported in hours are coded with a "1" in the first digit, and intervals reported in days are coded with a "2" in the first digit.

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDST_01 (M34_1), which also reports the length of time between the birth and when the woman first breastfed her child (for the last birth).

When children are the unit of analysis, BFEEDST describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of hours or days in BFEEDST does not necessarily indicate that a particular child whose record is being analyzed was first breastfed after that amount of time. IPUMS-DHS users should instead employ, when available, the variable BRSFEDST (M34) to determine the length of time between the specific child's birth and when that child was first breastfed.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Within first hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Within first day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2322" name="C_DIATRORSHEARD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Heard of ORS for diarrhea treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DIATRORSHEARD (V416) indicates whether the woman ever heard of using an oral rehydration solution (ORS) to treat diarrhea. ORS generally consists of drinking water with the addition of sugar and salt (in a homemade solution) or a commercial mixture of salt, glucose, potassium chloride, and sodium bicarbonate added to clean water.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Used ORS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Heard of ORS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Recognized ORS packet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        ORS treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2323" name="C_WEIGHTFEM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight of woman (kilos)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WEIGHTFEM (V437) reports the woman's weight as measured by DHS personnel. There is one implied decimal place in the weight. Dividing WEIGHTFEM by 10 will yield the woman's measured weight in kilograms.
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Out of plausible range
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2324" name="C_HEIGHTFEM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Height of woman in centimeters
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HEIGHTFEM (V438) reports the woman's height as measured by DHS personnel. HEIGHTFEM values are reported in millimeters, to preserve one centimeter decimal place without requiring the use of a decimal point. Dividing HEIGHTFEM by 10 will yield the woman's measured height in centimeters.
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Out of plausible range
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2325" name="C_BIOFHTAPCT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Height for age percentile for respondents to women's survey
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHTAPCT (V439) reports the respondent's height-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value for 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2326" name="C_BIOFHTASDRM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Height for age standard deviations from the reference median (for respondents to female survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHTASDRM (V440) reports the difference between the respondent's height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. BIOFHTASDRM values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing BIOFHTASDRM by 100 will yield the height-for-age Z-score (HAZ) value. 

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height, as measured by DHS personnel.

The complementary DHS variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile within the same reference population used in BIOFHTASDRM. The complementary DHS variable BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status.]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2327" name="C_BIOFHTAPCTRM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Height for Age percent of reference median for respondents to female survey
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percent of the median height for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.

The related variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2328" name="C_BIOFWTHTRMDHS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percent of reference median (DHS) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTRMDHS (V442) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. For this variable, the reference population was developed by the DHS Program. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTFOG (V443) uses Metropolitan Life or Fogarty reference standards
BIOFWTHTWHO (V444) uses WHO reference standards]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2329" name="C_BIOFWTHTRMFOG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTRMFOG (V443) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the Metropolitan Life or Fogarty reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTDHS (V442) uses a DHS reference standard
BIOFWTHTWHO (V444) uses the WHO reference standard]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2330" name="C_BIOFWTHTRMWHO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percent of reference median (WHO) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTRMWHO (V444) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the World Health Organization (WHO) reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTDHS (V442) uses a DHS reference standard
BIOFWTHTFOG (V444) uses the Metropolitan Life or Fogarty reference standard]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2331" name="C_BIOFWTHTSDRMDHS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for height standard deviations from the reference median (DHS) (respondents to female survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTSDRM (V444A) reports the difference between the respondent's weight and the median weight of a reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution. This variable uses a DHS reference standard.

An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. BIOFWTHTSDRM values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing BIOFWTHTSDRM by 100 will yield the height-for-age Z-score (HAZ) value. 

The complementary DHS variable BIOFWTHTPCTDHS (V442) reports weight-for-height percentiles within the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status; users are advised to consult anthropometry literature for further discussion.]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2332" name="C_BIOFBMI" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Body Mass Index (BMI) for respondents to the women's survey
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFBMI (V445) reports the female respondent's body mass index (BMI). BMI is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)). Also known as the Quetelet Index, BMI is a measure of acute nutritional status, based on the Fogarty Metropolitan Life tables of ideal weight for height. 

The DHS Guide to Statistics offers the following guidelines for interpreting BMI scores for women age 15-49:

 Severely thin: less than 16.0 
Moderately thin: 16.0 to 16.9 
Mildly thin: 17.0 to 18.4 
Normal: 18.5 to 24.9 
Overweight: 25.0 to 29.9 
Obese: 30.0 or more

The original height and weight values used to calculate BMI are also included in IPUMS-DHS.  WEIGHTFEM (V437) reports the respondent's weight in kilograms, as measured by DHS personnel; HEIGHTFEM (V438) reports the person's length or height in centimeters, as measured by DHS personnel. 

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFROHRER (V446), which reports the respondent's Rohrer's Index. This measure is equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)).]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2333" name="C_BIOFROHRER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Rohrer's index (mass/height cubed) (for respondents to female survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFROHRER (V446) reports the respondent's Rohrer's Index. Rohrer's Index is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)). Rohrer's Index is a measure of acute nutritional status, and may be used as an alternative to Body Mass Index. 

The original height and weight values used to calculate Rohrer's Index are also included in IPUMS-DHS. WEIGHTFEM (V437) reports the respondent's weight in kilograms as measured by DHS personnel; HEIGHTFEM (V438) reports their length or height in centimeters as measured by DHS personnel.

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFBMI (V445), which reports the respondent's Body Mass Index (BMI), which is equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)).]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2334" name="C_BIOFWHYNOTMEAS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Result of measurement of the respondent
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFWHYNOTMEAS (V447) indicates whether the respondent was measured for height and weight, or, if not, why she was not measured. All "Not measured" responses have a common first digit of "1," while the second digit reveals the reason (e.g., sick, not present, refused).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Incapacitated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Technical problems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          No measurement found in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2335" name="C_BIOFHHAGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman's age in years from household record
      </labl>
      <valrng>
        <range UNITS="REAL" min="12" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFHHAGE (V447A) reports the respondent's age in years, as recorded in the household roster. This age is used to determine eligibility for biometric measurements.
      </txt>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2336" name="C_BIOFHEMOCONSENT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Result of consent statement for anemia testing (respondents for women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFHEMOCONSENT (V452C) indicates whether permission was granted for the respondent's blood to be drawn and tested for hemoglobin level (as an indicator of anemia) or, if not, why not. Interviewers read a statement about hemoglobin testing and requested permission to draw and test the individual's blood for hemoglobin level.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Permission granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Permission refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Parent/other refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Respondent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Not read
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Adult/parent not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Minor not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2337" name="C_BIOFHEMOLEVEL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Hemoglobin level (g/dl) (respondents for women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="992" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHEMOLEVEL (V453) reports the level of hemoglobin in the respondent's blood, in terms of grams per deciliter (g/dl), based on testing of blood drawn by DHS personnel. Hemoglobin levels are tested to determine the presence and severity of anemia. BIOFHEMOLEVEL is a 3-digit variable with 1 implied decimal place.  

For a summary statement of anemia status, based on grouped hemoglobin level results, see BIOFANEMIALVL (V457).]]>
      </txt>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2338" name="C_BIOFHEMOTEST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Whether hemoglobin level tested (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFHEMOTEST (V455) indicates whether the respondent's hemoglobin level was tested from a blood draw by DHS personnel, or, if not, why their hemoglobin level was not measured. All "Not measured" responses have a common first digit of "1," while the second digit reveals the reason (e.g., not present, refused, technical problem).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Technical problems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          No measurement found in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2339" name="C_BIOFHEMOLEVELALT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Hemoglobin level (g/dl) adjusted for altitude (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="993" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHEMOLEVELALT (V456) reports the level of hemoglobin in the respondent's blood, in terms of grams per deciliter (g/dl), based on testing of blood drawn by DHS personnel, and adjusted for altitude. Hemoglobin levels are tested to determine the presence and severity of anemia. BIOFHEMOLEVELALT is a 3-digit variable with 1 implied decimal place.  

The USAID publication Adjusting Hemoglobin Values in Program Surveys [URL omitted from DDI.] explains, "At elevations above 1000 m. hemoglobin concentrations increase as an adaptive response to the lower partial pressure of oxygen and reduced oxygen saturation of blood." The report further provides an equation for adjusting hemoglobin values in altitudes at 500-meter intervals, and explains that adjustment is important because "WHO hemoglobin cutoffs for anemia refer to sea-level values."

For a summary statement of anemia status, based on grouped hemoglobin level results, see BIOFANEMIALVL (V457).]]>
      </txt>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2340" name="C_BIOFANEMIALVL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Anemia level (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFANEMIALVL (V457) reports the respondent's level of anemia, from not anemic to severely anemic, based on hemoglobin levels in blood drawn by DHS personnel.

According to the DHS Recode Manuals:
 [Hemoglobin] levels below 7.0 g/dl are considered as severe anemia, levels between 7.1g/dl and 9.9g/dl are considered as moderate anemia, and cases between 10.0 g/dl and 10.9 g/dl are considered as mild anemia for pregnant women and between 10.0 g/dl and 11.9 g/dl for all other adult women.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not anemic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Moderate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Severe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2341" name="C_BIOFUNDER18" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Under age 18 (according to household questionnaire) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFUNDER18 (V452A) indicates whether the respondent was under or over age 18 at the time of the interview, according to the household roster.

The information in this variable was used by DHS personnel to determine whether a female household member needed consent from a parent/caretaker before conducting hemoglobin measurements.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Under age 18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Age 18 or older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2342" name="C_BIOFLINENOPARENT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Line number of parent/responsible adult (non-adult respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFLINENOPARENT (V452B) reports the line number, in the household listing, of the parent or caretaker of a respondent under age 18 whose hemoglobin levels were measured, based on blood drawn by DHS personnel.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2343" name="C_BIOFPREGNANT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Currently pregnant
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFPREGNANT (V454) indicates whether the respondent was pregnant at the time of the interview.

A woman's pregnancy status is an important factor in interpreting hemoglobin/anemia level. See the following variables for more information:
BIOFHEMOLEVEL (V453)
BIOFHEMOLEVELALT (V456)
BIOFANEMIALVL (V457)]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No/don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2344" name="C_BEDNETHAVE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Woman's household has bednet for sleeping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETHAVE (V459) indicates whether the household had any bed nets that could be used while sleeping, to keep off mosquitoes and reduce the risk of mosquito-borne illnesses such as malaria. This information was collected via the household questionnaire and copied over to the woman's record.

The complementary variable BEDNETNUM (HML1) reports the number of mosquito nets owned by the household.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2345" name="C_INJRECENTANY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Had any injection in recent months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INJRECENTANY indicates whether the woman received an injection for any reason in the 2 to 12 months preceding the survey.

See Comparability for discussion of variations in the reference period for this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2346" name="C_INJRECENTNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of injections in recent months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INJRECENTNO (V477) reports how many injections, for any reason, the woman received in the 2 to 12 months preceding the survey.

See Comparability for discussion of differences in the reference period for this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 injections
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+/daily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2347" name="C_INJHCWORKER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of recent injections from healthcare worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who received any injections in the 6 to 12 months preceding the survey, INJHCWORKER (V478) reports the number of injections that were provided by a healthcare worker (including doctors, nurses, pharmacists, dentists or any other professional health worker).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 injections
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2348" name="C_BHCPERMIT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Getting permission
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCPERMIT (V467B) indicates whether the woman reported "obtaining permission to go to the doctor/seek treatment" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2349" name="C_BHCMONEY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Lack money for treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCMONEY (V467C) indicates whether the woman reported "getting money needed for treatment" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2350" name="C_BHCDISTANCE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Distance to facility
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCDISTANCE (V467D) indicates whether the woman reported "the distance to the health facility" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2351" name="C_BHCTAKETRAN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Having to take transport
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCTAKETRAN (V467E) indicates whether the woman reported "having to take transportation" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2352" name="C_BHCALONE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Not want to go alone
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCALONE (V467F) indicates whether the woman reported "not wanting to go alone" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2353" name="C_BHCNOFEMDR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: No female provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCNOFEMDR (V467G) indicates whether the woman reported "concern that there may not be a female health provider" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2354" name="C_BHCNOPROV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: No provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCNOPROV (V467H) indicates whether the woman reported "concern that there may not be a health provider" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2355" name="C_BHCNODRUG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: No drugs available
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCNODRUG (V467I) indicates whether the woman reported a "concern that there may not be drugs available" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2356" name="C_CHDESIRE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Whether and when this child's pregnancy wanted
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years preceding the survey, CHDESIRE (M10) indicates whether the child was wanted at the time of pregnancy, was wanted but later, or was not wanted at all.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Wanted then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wanted later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No more wanted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2357" name="C_CHDESIREL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Time wanted to wait before pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years before the survey to women who wanted to become pregnant later, CHDESIREL (M11) reports the length of time the mother would have wanted to wait for that pregnancy. 

Following DHS convention, intervals reported in weeks are coded with a "1" in the first digit, while intervals reported in years are coded with a "2" in the first digit.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Months, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2358" name="C_KIDSEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Sex of child
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDSEX (B4) reports the sex of the child.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2359" name="C_KIDALIVE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child is alive
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDALIVE (B5) reports whether the child was alive or dead at the time of interview.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2360" name="C_KIDBIRTHMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's month of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDBIRTHMO (B1) reports the child's month of birth, according to the Gregorian calendar.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2361" name="C_KIDBIRTHYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's year of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1948" max="2018"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDBIRTHYR (B2) reports the child's year of birth, according to the Gregorian calendar.
      </txt>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2018
        </catValu>
        <labl>
          2018
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2362" name="C_KIDAGEINFO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information about child's age and date of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="19"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDAGEINFO (B10) reports the completeness of information about the child's age and date of birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month, year, and day complete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Month and year complete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Season and year complete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Year, season, and age - month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Year and age - month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Month and age - year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Year- month imputed, age calculated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Age - year calculated, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Year and age - year ignored
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Year - age, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Month - date placed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Age - year, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          None - date placed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Month - age, year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Age - year ignored
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Year/Age (or dead)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Age/Year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          None - all imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Inconsistant
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2363" name="C_KIDCURAGE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Current age of child in years
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDCURAGE (B8) reports the current age of the child, in years, at the time of the survey.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2364" name="C_KIDDOBCMC" files="F2" dcml="0" intrvl="contin">
      <labl>
        Child's date of birth (CMC)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDDOBCMC (B3) reports the century month code for the date of birth of the child.
      </txt>
      <codInstr>
        KIDDOBCMC (B3) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2365" name="C_KIDBORD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's birth order number
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="21"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDBORD (BORD) reports the birth order in which the child was born, from 1 to n, where 1 = the first child born to a mother, and the nth birth is the most recently born child. Up to 20 births could be reported by a woman.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2366" name="C_KIDTWIN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child is twin or single birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="26"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDTWIN (B0) reports whether the child is a twin (or born in a multiple birth) or is a single birth.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Single birth/not a twin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Twin or multiple
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          1st of multiple births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          2nd of multiple births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          3rd of multiple births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          4th of multiple births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          5th of multiple births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          6th of multiple births
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2367" name="C_KIDAGEDEATH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child age at death (non-imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For deceased children, KIDAGEDEATH (B6) reports the age of the child at death in days, months or years. The first digit of the codes indicates the time unit: 1 for days, 2 for months, 3 for years.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Days: Died on day of birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          Days, unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days old, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Months old: Month of birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          Months, inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          Months, unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Months old, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          More than 5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          Years old, number inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Years old, number unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Years old, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2368" name="C_KIDAGEDIEDIMP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in month (including imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For deceased children, KIDAGEDIEDIMP (B7) reports the age of the child at death in months (including imputed ages).
      </txt>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2369" name="C_KIDAGEDEATHFLAG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Flags for reported age at death of child
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDAGEDEATHFLAG (B13) reports the type of problem, if any, found when editing responses about the child's age at death (in KIDAGEDEATH). A code of 0 indicates no problem with the original response.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Reported age places death after interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Reported age less than reported duration breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Reported age less than age given supplemental food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Reported age less than age first breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Reported age before last vaccination
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Reported age outside expected range for units
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Reported age was imputed, units given
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Reported age was imputed, units not given
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2370" name="C_KIDLIVESWITH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child lives with female respondent or with others
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDLIVESWITH (B9) reports the person the child usually lives with (i.e., the child's mother or someone else).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          With father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          With other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          With someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Child age 15+, lives elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2371" name="C_LINENOKID" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Line number of child in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LINENOKID (B16) reports the number of the line on which the DHS interviewer recorded the child's name, when filling out the household schedule. After asking the woman respondent, "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not listed in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2372" name="C_LINENOPARENT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Line number of child's parent or caretaker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LINENOPARENT (HW51) reports the line number, in the household listing, of the parent or caretaker of a child whose hemoglobin levels were measured, based on blood drawn by DHS personnel.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2373" name="C_BIRTHINTPREMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Length of preceding birth interval, in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years preceding the survey who are not the first-born, or the twin of the first-born, child, BIRTHINTPREMO (B11) indicates the preceding birth interval, or the length of time in months the child was born after the mother's previous birth (i.e., after the child's first older sibling).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
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          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2374" name="C_BIRTHINTPOSTMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Length of following birth interval, in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years preceding the survey who are not the last-born, or twin of the last-born, child, BIRTHINTPOSTMO (B12) indicates the succeeding birth interval, or the length of time in months the child was born before the mother's next birth (or before the child's first younger sibling).
      </txt>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2375" name="C_OTHBIRTHININT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Any other live births in interval between birth and previous reported birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OTHBIRTHININT (B15) indicates whether there were any other live births in the interval between this birth and the previously reported birth. The survey form included the question, "Were there any other live births between (NAME OF PREVIOUS BIRTH) and (NAME), including any children who died?" 

For DHS Phase III only, OTHBIRTHININT (B15) is limited to "Births for which the interval between the birth and the previously reported birth was four or more years (B14 =1)," according to the Recode Manuals. For later Phases, the universe is all second- and higher-order births. 

The DHS Recode Manuals include the following explanatory note about this variable:

Variables B14 and B15 are questions used in the interview to try and ascertain if the respondent had omitted any live births while reporting her birth history. The birth history may have been modified during the interviewing process, and the responses may not now correspond to the interval between the birth and the preceding birth recorded in this section. The data have been included to help indicate cases where the respondent may have omitted live births while originally reporting the birth history. The omitted births should be included in this final version of the birth history.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2376" name="C_MLKIDNETSL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Type of bednet child slept under last night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children under age five who are listed in the household schedule, MLKIDNETSL (ML0) indicates the type of bednet (treated, untreated, or both treated and untreated nets), if any, the child slept under the previous night.


Apart from universe differences, MLKLIDNETSL (ML0) has no comparability problems.

Comparability - Standard DHS

MLKLIDNETSL (ML0) is included in Phase V forward of the standard DHS household questionnaire.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No bednet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Only treated bednets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Both treated and untreated nets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Only untreated bednets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2377" name="C_KIDAGEMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Age of child in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children born in the three to five years before the survey, KIDAGEMO (HW1) reports the child's age in months at the time of the mother's interview (and at the time of the height and weight measurement of the child). This information is useful for calculating child malnutrition indicators such as height-for-age (stunting) and weight-for-age (underweight). The DHS Recode manuals report that the child's age in months is calculated from the century month code of the date of interview minus the century month code of the date of birth of the child.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2378" name="C_HWWEIGHT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's weight in kilograms
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children born in the three to five years before the survey, HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. HWWEIGHT values are reported in tenths of a kilogram, to preserve one kilogram decimal place without requiring the use of a decimal point. Dividing the HWWEIGHT value by 10 will yield the child's measured weight in kilograms.
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Weight out of range
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2379" name="C_HWHEIGHT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's height in centimeters
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWHEIGHT (HW3) reports the child's height as measured by DHS personnel. HWHEIGHT values are reported in millimeters, to preserve one centimeter decimal place without requiring the use of a decimal point. Dividing HWHEIGHT by 10 will yield the child's measured height in centimeters. 

In most surveys, HWHEIGHT was measured as a standing height for children at least 24 months old and as a recumbent length (with the child lying down) for children less than 24 months old, following WHO guidelines. As the DHS recode manuals note, however, there may be discrepancies between policy and practice with respect to this protocol. The related variable HWHTHOWMEAS indicates whether the child's height was measured as a recumbent length or a standing height, and is available for most surveys from Phase 2 forward.]]>
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Out of range
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2380" name="C_HWINDEX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Index to birth history, for child measurement
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWINDEX (HWIDX) reports the line number, in the birth history, of children under age 5 who were included in the health history of the women's questionnaire and who were potential subjects for height and weight measurement. The most recently born child would be coded 1, and the line number of the child should match the number in BIDX (index to birth history) and HIDX (index to children in health history).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2381" name="C_HWWTHTPCT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percentile (CDC standards)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWWTHTPCT (HW10) reports the child's weight-for-height percentile, based on smoothed percentile growth charts by height and sex developed by the U.S. Centers for Disease Control.  

Low child weight-for-height, or "wasting," is an indicator of acute malnutrition. The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. HWHEIGHT (HW3) reports the child's measured height in centimeters. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

For an alternative measure of child wasting in terms of weight-for-height using the same reference population, see HWWHZNCHS (HW11).  HWWHZNCHS reports the difference between the child's weight and the median weight of the CDC reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2382" name="C_HWWHZNCHS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for height standard deviations from reference median (CDC)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9997" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWWHZNCHS (HW11) reports the difference between the child's weight and the median weight of a reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWWHZNCHS values are provided in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWWHZNCHS by 100 will yield a child's weight-for-height Z-score (WHZ) value. 

Low child weight-for-height, or "wasting," is an indicator of acute malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-height Z-score (WHZ) between -2 and -3 to represent moderate acute malnutrition, and WHZ below -3 to represent severe acute malnutrition. 

Reference populations used to generate HWWHZNCHS draw from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data. This reference was considered standard by WHO until the 2006 release of the WHO Multicenter Growth Reference Study (MGRS), which generated new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. DHS has continued to release child anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release. 

DHS has also created anthropometric Z-score variables using WHO MGRS 2006 reference populations. The variable HWWHZWHO (HW72) uses WHO MGRS 2006 reference populations to generate weight-for-height Z-scores. This variable was generated for all DHS samples including the necessary anthropometric measurements, including those preceding 2006.

HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel, and HWHEIGHT (HW3) reports the child's length or height as measured by DHS personnel. See HWHEIGHT (HW3) and HWHTHOWMEAS (HW15) for specifics on child length/height measurement.

The complementary DHS variable HWWTHTPCT (HW10) reports the child's weight-for-height percentile within the same reference population used in HWWHZNCHS.  The complementary DHS variable HWWTHTPCTRM (HW12) reports the child's weight-for-height as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status; users are advised to consult anthropometry literature [URL omitted from DDI.] for further discussion.]]>
      </txt>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2383" name="C_HWWTHTPCTRM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percent of reference median (CDC standards)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99998" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWWTHTPCTRM (HW12) reports the child's weight-for-height as a percent of the median weight in growth charts by height and sex developed by the U.S. Centers for Disease Control.  

Low child weight-for-height, or "wasting," is an indicator of acute malnutrition. The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. HWHEIGHT (HW3) reports the child's measured height in centimeters. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

For an alternative measure of child wasting in terms of weight-for-height using the same reference population, see HWWHZNCHS (HW11).  HWWHZNCHS reports the difference between the child's weight and the median weight of the CDC reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2384" name="C_HWWTAPCT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for age percentile (CDC standards)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWWTAPCT (HW7) reports the child's weight-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.  

Low child weight-for-age, or "underweight," is an indicator of chronic and/or acute malnutrition. The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

For an alternative measure of child wasting in terms of weight-for-age using the same reference population, see HWWAZNCHS (HW8).  HWWAZNCHS reports the difference between the child's weight and the median weight of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2385" name="C_HWWAZNCHS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for age standard deviations from reference median (CDC)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9997" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWWAZNCHS (HW8) reports the difference between the child's weight and the median weight of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. HWWAZNCHS values are provided in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWWAZNCHS by 100 will yield a child's weight-for-age Z-score (WAZ) value. 

Low child weight-for-age, or "underweight," is a composite indicator of acute and/or chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-age Z-score (WAZ) between -2 and -3 to represent moderate malnutrition, and WAZ below -3 to represent severe malnutrition.

Reference populations used to generate HWWAZNCHS draw from 1978 U.S. National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data. This reference was considered standard by WHO until the 2006 release of the WHO Multicenter Growth Reference Study (MGRS), which generated new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. 

DHS has also created anthropometric Z-score variables using WHO MGRS 2006 reference populations. HWWAZWHO (HW71) uses WHO MGRS 2006 reference populations to generate weight-for-age Z-scores. This variable was generated for all samples including the necessary anthropometric measurements, including those preceding 2006.

HWWEIGHT (HW2) reports the child's weight in kilograms as measured by DHS personnel. KIDAGEMO (HW1) reports the child's age in months at the time of measurement.]]>
      </txt>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2386" name="C_HWWTAPCTRM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for age percent of the reference median (CDC standards)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99998" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWWTAPCTRM (HW9) reports the child's weight-for-age as a percent of the median weight for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.  Low child weight-for-age, or "underweight," is an indicator of acute and/or chronic malnutrition,

HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

The similar variable HWWTAPCT (HW7) reports the child's weight-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.

For an alternative measure of child stunting in terms of weight-for-age and using the same reference population, see HWWAZNCHS (HW8).  HWWAZNCHS reports the difference between the child's height and the median weight of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2387" name="C_HWHTAPCT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Height for Age percentile (CDC standards)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWHTAPCT (HW4) reports the child's height-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.  

Low child height-for-age, or "stunting," is an indicator of chronic malnutrition,
The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
HWHEIGHT (HW3) reports the child's length or height as measured by DHS personnel. See this variable and HWHTHOWMEAS (HW15) for specifics on child length/height measurement. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

For an alternative measure of child stunting in terms of height-for-age for the same reference population, see HWHAZNCHS (HW5).  HWHAZNCHS reports the difference between the child's height and the median height of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2388" name="C_HWHAZNCHS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Height for age standard deviations from reference median (CDC)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9997" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWHAZNCHS (HW5) reports the difference between the child's height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. HWHAZNCHS values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWHAZNCHS by 100 will yield a child's height-for-age Z-score (HAZ) value. 

Low child height-for-age, or "stunting," is an indicator of chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a height-for-age Z-score (HAZ) between -2 and -3 to represent moderate chronic malnutrition, and HAZ scores below -3 to represent severe chronic malnutrition. 

Reference populations used to generate HWHAZNCHS draw from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data. This reference was considered standard by WHO until the 2006 release of the WHO Multicenter Growth Reference Study (MGRS), which generated new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. DHS has continued to release anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release. 

DHS has also created anthropometric Z-score variables using WHO MGRS 2006 reference populations. The variable HWHAZWHO (HC70) uses WHO MGRS 2006 reference populations to generate height-for-age Z-scores. This variable was generated for all DHS samples including the necessary anthropometric measurements, including those preceding 2006.

HWHEIGHT (HW3) reports the child's length or height as measured by DHS personnel. See this variable and HWHTHOWMEAS (HW15) for specifics on child length/height measurement. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

The complementary DHS variable HWHTAPCT (HW4) reports the child's height-for-age percentile within the same reference population used in HWHAZNCHS. The complementary DHS variable HWHTAPCTRM (HW9) reports the child's height-for-age as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status; users are advised to consult anthropometry literature [URL omitted from DDI.] for further discussion.]]>
      </txt>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2389" name="C_HWHTAPCTRM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Height for age percent of reference median (CDC standards)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99998" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWHTAPCTRM (HW6) reports the child's height-for-age as a percent of the median height for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.  Low child height-for-age, or "stunting," is an indicator of chronic malnutrition,

HWHEIGHT (HW3) reports the child's length or height as measured by DHS personnel. See this variable and HWHTHOWMEAS (HW15) for specifics on child length/height measurement. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

The similar variable HWHTAPCT (HW4) reports the child's height-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.

For an alternative measure of child stunting in terms of height-for-age, see HWHAZNCHS (HW5).  HWHAZNCHS reports the difference between the child's height and the median height of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2390" name="C_HWWHYNOTMEAS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Whether child measured, and, if not, why not
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWWHYNOTMEAS (HW13) indicates whether the child was measured for height and weight or, if not, why the child was not measured. All "no" responses have a common first digit of "2," while the second digit reveals the reason (e.g., consent refused, dead, sick).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Dead
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Mother refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Child asleep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          No measurement found in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2391" name="C_HWHTHOWMEAS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's height measured lying down or standing up
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HWHTHOWMEAS (HW15) reports whether the height of children under age 5 was measured when they were lying down or standing up.  According to the DHS Recode Manuals:


In DHS surveys, children aged less than 24 months are to be measured lying down, children 24 months or older are to be measured standing up. There may, however, be a considerable discrepancy between policy and practice!]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Lying down
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Standing up
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2392" name="C_HWDAYOFBIRTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's day of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWDAYOFBIRTH (HW16) reports the day of the month on which the child was born. 

The DHS recode manuals for Phase 2 forward report that the day of birth of the child

is used in conjunction with the date of measurement of the child to more finely calculate the age of the child in days when computing anthropometric measures. This level of accuracy can be important in very young children. The age of the child calculated from the day of birth information is not used as a background characteristic for tabulations, but purely to produce a more accurate set of anthropometric measures.

DHS analysis thus uses HWDAYOFBIRTH and the date of the child's height and weight measurement to precisely calculate child malnutrition indicators such as height-for-age (stunting) and weight-for-age (underweight) Z-scores.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2393" name="C_HWDAYMEAS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day of measurement
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWDAYMEAS (HW17) indicates the day of the month on which the child's height and weight were measured by DHS personnel. The child's age in days on the day of measurement is used in DHS calculations of anthropometric Z-scores. 

The complementary variables HWMONTHMEAS and HWYEARMEAS report the month and the year, respectively, of the child's height and weight measurement.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2394" name="C_HWMONTHMEAS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month of measurement
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWMONTHMEAS (HW18) reports the month of the year during which the child's height and weight were measured by DHS personnel. 

The complementary variables HWDAYMEAS and HWYEARMEAS report the day (of the month) and the year, respectively, of the child's height and weight measurement.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2395" name="C_HWYEARMEAS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year of measurement
      </labl>
      <valrng>
        <range UNITS="REAL" min="1990" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWYEARMEAS (HW19) reports the year during which the child's height and weight were measured by DHS personnel. 

The complementary variables HWDAYMEAS and HWMONTHMEAS report the day and the month, respectively, of the child's height and weight measurement.]]>
      </txt>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2396" name="C_HWHAZWHO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Height for age standard deviations from median (WHO)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWHAZWHO (HW70) reports the difference between the child's height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWHAZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWHAZWHO by 100 will yield a child's height-for-age Z-score (HAZ) value. 

Low child height-for-age, or "stunting," is an indicator of chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.]   considers a height-for-age Z-score (HAZ) between -2 and -3 to represent moderate chronic malnutrition, and HAZ below -3 to represent severe chronic malnutrition. 

Reference populations used to generate HWHAZWHO draw from the WHO Multicenter Growth Reference Study (MGRS) [URL omitted from DDI.]  released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated height-for-age Z scores using WHO MGRS reference data. 

Prior to the WHO MGRS, DHS anthropometry reference populations drew from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.], which was the previous international standard reference. The DHS variable HWHAZNCHS reports the child's height-for-age Z-score value using the NCHS/CDC 1978 reference population. DHS has continued to release versions of all child anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release.

HWHEIGHT (HW3)  reports the child's length or height as measured by DHS personnel. See this variable and HWHTHOWMEAS (HW15) for specifics on child length/height measurement. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Height out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Age in days out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2397" name="C_HWWAZWHO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for age standard deviations from median (WHO)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWWAZWHO (HW71) reports the difference between the child's weight and the median weight of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWWAZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWWAZWHO by 100 will yield a child's weight-for-age Z-score (WAZ) value. 

Low child weight-for-age, or "underweight," is a composite indicator of acute and/or chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-age Z-score (WAZ) between -2 and -3 to represent moderate malnutrition, and WAZ below -3 to represent severe malnutrition.

Reference populations used to generate HWWAZWHO draw from the WHO Multicenter Growth Reference Study (MGRS) [URL omitted from DDI.] released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated weight-for-age Z scores using WHO MGRS reference data. 

Prior to the WHO MGRS, DHS anthropometry reference populations drew from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data, which was the previous international standard reference. The DHS variable HWWAZNCHS (HW8) reports the child's weight-for-age Z-score value using the NCHS/CDC 1978 reference population. DHS has continued to release versions of all child anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release.

HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. KIDAGEMO (HW1) reports the child's age in months at the time of measurement.]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Height out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Age in days out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2398" name="C_HWWHZWHO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Weight for height standard deviations from median (WHO)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWWHZWHO (HW72) reports the difference between the child's weight and the median weight of a reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWWHZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWWHZWHO by 100 will yield a child's weight-for-height Z-score (WHZ) value. 

Low child weight-for-height, or "wasting," is an indicator of acute malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-height Z-score (WHZ) between -2 and -3 to represent moderate acute malnutrition, and WHZ below -3 to represent severe acute malnutrition.

Reference populations used to generate HWWHZWHO draw from the WHO Multicenter Growth Reference Study (MGRS) [URL omitted from DDI.] released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated weight-for-height Z scores using WHO MGRS reference data. 

Prior to the WHO MGRS, DHS anthropometry reference populations drew from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data, which was the previous international standard reference. The DHS variable HWWHZNCHS (H11) reports the child's weight-for-height Z-score value using the NCHS/CDC 1978 reference population. DHS has continued to release versions of all child anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release.

HWWEIGHT (HW2) reports  the child's weight in kilograms as measured by DHS personnel.  HWHEIGHT (HW3) reports the child's length or height in centimeters as measured by DHS personnel. See HWHEIGHT and HWHTHOWMEAS (HW15) for specifics on child length/height measurement.]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Height out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Age in days out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2399" name="C_HWBMIZWHO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Body Mass Index standard deviations (WHO)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children born in the three to five years before the survey, HWBMIZWHO (HW73) reports the difference between the child's body mass index (BMI) and the median BMI of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWBMIZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWBMIZWHO by 100 will yield a child's BMI-for-age Z-score (BMIZ) value. 

BMI is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) squared. Considered in relation to a reference population, child BMI-for-age is valuable for assessing either underweight or overweight status, and particularly useful in settings where child malnutrition and child obesity coexist. 

Reference populations used to generate HWBMIZWHO draw from the WHO Multicenter Growth Reference Study (MGRS)  [URL omitted from DDI.] released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated BMI-for-age Z scores using WHO MGRS reference data. DHS does not calculate BMI-for-age measures using the reference populations that preceded WHO MGRS (the 1978 U.S. CDC National Center for Health Statistics International Growth Reference data).

The original height and weight values used to calculate BMI are also included in the DHS.  HWWEIGHT (HW2) reports the child's weight in kilograms as measured by DHS personnel; HWHEIGHT (HW3) reports the child's length or height in centimeters as measured by DHS personnel. See HWHEIGHT and HWHTHOWMEAS (HW15) for specifics on child length/height measurement. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Height out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Age in days out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2400" name="C_HEMOCONSENT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Consent granted to draw blood for hemoglobin test
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HEMOCONSENT (HW52) indicates whether permission was granted for the person's blood to be drawn and tested for hemoglobin level (as an indicator of anemia) or, if not, why not. Interviewers read a statement about hemoglobin testing and requested permission to draw and test the individual's blood for hemoglobin level; blood was drawn only if consent was given by the persons themselves (if adults) or by a parent or guardian (if a minor).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Granted, but no signature
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Consent statement not read
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2401" name="C_HEMOLEVEL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Hemoglobin level (gram/deciliter)
      </labl>
      <valrng>
        <range UNITS="REAL" min="994" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HEMOLEVEL (HW53) reports the level of hemoglobin in the child's blood, in terms of grams per deciliter (g/dl), based on testing of blood drawn by DHS personnel. Hemoglobin levels are tested to determine the presence and severity of anemia. HEMOLEVEL is a 3-digit variable with 1 implied decimal place.  

For a summary statement of the child's anemia status, based on grouped hemoglobin level results, see ANEMIALVLKID (HW57).]]>
      </txt>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Information not collected (CS)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2402" name="C_HEMOTEST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Whether hemoglobin level tested
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HEMOTEST (HW55) indicates whether the person's hemoglobin level was tested from a blood draw by DHS personnel or, if not, why the person's hemoglobin level was not measured. All "no" responses have a common first digit of "2," while the second digit reveals the reason (e.g., consent refused versus technical problem).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Dead
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Technical problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          No measurement found in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2403" name="C_HEMOLEVELALT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Hemoglobin level adjusted by altitude
      </labl>
      <valrng>
        <range UNITS="REAL" min="9997" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HEMOLEVELALT (HW56) reports the level of hemoglobin in the child's blood, in terms of grams per deciliter (g/dl), based on testing of blood drawn by DHS personnel, and adjusted for altitude. Hemoglobin levels are tested to determine the presence and severity of anemia. HEMOLEVELALT is a 4-digit numeric variable with 1 implied decimal place.  

The USAID publication Adjusting Hemoglobin Values in Program Surveys [URL omitted from DDI.] explains, "At elevations above 1000 m. hemoglobin concentrations increase as an adaptive response to the lower partial pressure of oxygen and reduced oxygen saturation of blood." The report further provides an equation for adjusting hemoglobin values in altitudes at 500-meter intervals, and explains that adjustment is important because "WHO hemoglobin cutoffs for anemia refer to sea-level values."

For a summary statement of the child's anemia status, based on grouped hemoglobin level results, see ANEMIALVLKID (HW57).]]>
      </txt>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2404" name="C_ANEMIALVLKID" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Anemia level of child
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ANEMIALVLKID (HW57) reports the child's level of anemia, from severely anemic to not anemic, based on hemoglobin levels in blood drawn by DHS personnel.  

According to the DHS Recode Manuals, "[Hemoglobin] Levels below 7.0 g/dl are considered as severe anemia, levels between 7.1g/dl and 9.9g/dl are considered as moderate anemia, and cases between 10.0 g/dl and 10.9 g/dl are considered as mild anemia."]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Severe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Moderate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Mild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Not anemic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2405" name="C_ANCARE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Received prenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ANCARE indicates whether the child's mother received any antenatal care while the child was in utero. This variable is the inverse of ANCARENONE (M2N).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2406" name="C_ANCARENURM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave prenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ANCARENURM (M2B) indicates whether a nurse or midwife (categories combined or not distinguished) gave the child's mother antenatal care while the child was in utero.

Some samples in the "ANCARE" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include separate categories for nurse and midwife that could be combined to create a more comprehensive response category in ANCARENURM. See Comparability for more information on the specific categories included in this variable by country.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (don't know)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2407" name="C_ANCARETBA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave prenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ANCARETBA (M2G) indicates whether a traditional birth attendant gave the child's mother antenatal care while the child was in utero. Wording for this response category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2408" name="C_ANCAREOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Other person gave prenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ANCAREOTH (M2K) indicates whether some other (unspecified) person gave the child's mother antenatal care while the child was in utero. The meaning of "other" must be interpreted relative to the specific categories included in a given sample. 

Women could report more than one type of healthcare (or traditional) provider.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2409" name="C_ANCARENONE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Received no prenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ANCARENONE (M2N) indicates whether the child's mother did not receive antenatal care while the child was in utero. The structure of the question varied across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2410" name="C_ANVISMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Timing of first antenatal visit for this pregnancy: Months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, and whose mothers received antenatal care while the child was in utero (ANCARE), ANVISMO (M13) indicates the timing of the mother's first antenatal visit during that pregnancy, in months from the start of the pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2411" name="C_ANVISNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of antenatal visits when child was in utero
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years before the survey, ANVISNO (M14) reports the number of antenatal visits the mother had while the child was in utero. Children whose mothers did not see anyone for antenatal care during the pregnancy are coded 0.

The related variable ANVISNOTOP20 supplies the same material with a consistently applied top-code of 20+ visits.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 visits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 (or 20+)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 (or 30+)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2412" name="C_ANVISNOTOP20" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of antenatal visits when child was in utero, topcoded at 20
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years before the survey, ANVISNOTOP20 reports the number of antenatal visits the mother had while the child was in utero, with values topcoded at 20+ visits. Children whose mothers did not see anyone for antenatal care during the pregnancy are coded 0.

The related variable ANVISNO supplies the same material without imposing a consistent topcode.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 visits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2413" name="C_ANDRGPARA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Drugs for intestinal parasites taken during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ANDRGPARA (M60) indicates whether the child's mother took medication for intestinal parasites while the child was in utero.

The related variable ANCAREDEWORM indicates whether the mother's antenatal care included deworming.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2414" name="C_ANCAREWT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Mother weighed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care while the child was in utero, ANCAREWT (M42A) indicates whether the child's mother was weighed at least once during antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2415" name="C_ANCAREHT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Mother's height measured
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care while the child was in utero, ANCAREHT (M42B) indicates whether the child's mother's height was measured at least once during antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2416" name="C_ANCAREBP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Mother's blood pressure taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care while the child was in utero, ANCAREBP (M42C) indicates whether the mother's blood pressure was taken at least once during antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2417" name="C_ANCAREBLD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Mother's blood sample taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care while the child was in utero, ANCAREBLD (M42E) indicates whether a blood sample was taken at least once during antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2418" name="C_ANCAREUR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Urine sample taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care while the child was in utero, ANCAREUR (M42D) indicates whether a urine sample was taken from the mother at least once during antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2419" name="C_ANCARENUTRI" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Nutritional counseling
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care while the child was in utero, ANCARENUTRI indicates whether the child's mother received advice about diet or nutrition during pregnancy at least once during antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2420" name="C_ANCAREHBEAT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Checked fetal heartbeat
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care while the child was in utero, ANCAREHBEAT indicates whether the child's fetal heartbeat was checked at least once during antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2421" name="C_ANCAREYEXAM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Antenatal care received: Eye exam
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care while the child was in utero, ANCAREYEXAM indicates whether the child's mother had her eyes examined at least once during antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2422" name="C_ANTETNUSNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of tetanus injections before birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years before the survey, ANTETNUSNO (M1) indicates whether, and how many, tetanus (toxicoid) injections were given to the mother while the child was in utero, to avoid convulsions after birth.

For a similar variable that only reports whether a tetanus injection was received, see ANTETNUS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2423" name="C_PRETETNUSNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of tetanus injections before pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey to women who received fewer than 2 tetanus injections while the child was in utero, PRETETNUSNO (M1A) reports the number of tetanus injections the mother received before that pregnancy began.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Received no injection
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2424" name="C_PRETETNUSAGO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Years between prior tetanus injection and the pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey to women who received at least one tetanus injection before the child was in utero, PRETETNUSAGO (M1D) reports the number of years between that tetanus injection and the beginning of that pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2425" name="C_PRETETNUSCMC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        CMC date of tetanus injection preceding the pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey to women who received at least one tetanus injection before the child was in utero, PRETETNUSCMC (M1E) reports the century month code for the date of that pre-pregnancy tetanus injection.
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Can't be determined
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2426" name="C_PRETETNUSMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month of most recent tetanus injection before pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey to women who received at least one tetanus injection before the child was in utero, PRETETNUSMO (M1B) reports the month of the mother's last tetanus injection before that pregnancy.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2427" name="C_PRETETNUSYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year of most recent tetanus injection before the pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1974" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey to women who received at least one tetanus injection before the child was in utero, PRETETNUSYR (M1C) reports the year of the last tetanus injection the mother received before that pregnancy.
      </txt>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2428" name="C_ANIRON" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother took iron tablets/syrup during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ANIRON (M45) indicates whether the child's mother took iron tablets or syrup while the child was in utero.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2429" name="C_ANIROND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Days mother took antenatal iron supplement
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received or purchased an iron supplement while the child was in utero, ANIROND (M46) indicates the number of days the child's mother took iron tablets or syrup.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not taken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2430" name="C_ANMALNONE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother took no drug for malaria during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ANMALNONE (M49Y) indicates whether the child's mother took no antimalarial drug while the child was in utero.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2431" name="C_ANMALSP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother took SP/Fansidar for malaria during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ANMALSP (M49A) indicates whether the child's mother took the antimalarial drug sulfadoxine/pyrimethamine (SP), also known as Fansidar, while the child was in utero. Other common trade names include Maloxine, Malafan, Metakelfin (sulphamethoxypyrazine/pyrimethamine), Novidar, and Amalar.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2432" name="C_ANMALOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother took other drug for malaria during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ANMALOTH (M49X) indicates whether the child's mother took some other antimalarial drug while the child was in utero. The meaning of "other" must be interpreted relative to the specific categories included in a particular sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2433" name="C_ANMALDK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Unknown which/whether antimalarial drug taken by mother during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ANMALDK (M49Z) indicates whether it was unknown if the child's mother took an antimalarial drug while the child was in utero, or if she did not know the name of the drug taken.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2434" name="C_ANMALSPNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Times mother took SP/Fansidar during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children born to women who took SP/Fansidar while the child was in utero, ANMALSPNO (ML1) reports the number of times the mother took SP/Fansidar during the pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2435" name="C_ANMALSPSRC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source for SP/Fansidar during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the five years before the survey to women who received antenatal care and took SP/Fansidar while the child was in utero, ANMALSPSRC (ML2) indicates whether the SP/Fansidar came from an antenatal care visit, another visit to a health facility, or from some other source. This drug is used to treat malaria.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Antenatal visit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Another facility visit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2436" name="C_ANCAREMW2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Doctor/clinical officer gave prenatal care (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ANCAREMW2 indicates whether a doctor/clinical officer gave the child's mother antenatal care while the child was in utero. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2437" name="C_ANCAREMW3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Patient attendant gave prenatal care (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ANCAREMW3 indicates whether a ward/patient attendant gave the child's mother antenatal care while the child was in utero. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2438" name="C_ANCAREMW5" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Health surveillance assistant gave prenatal care (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ANCAREMW5 indicates whether a health surveillance assistant gave the child's mother antenatal care while the child was in utero. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child antenatal care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2439" name="C_ANCHOME" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCHOME (M57A) indicates whether the mothers received care at their own home.

IPUMS-DHS users interested in using ANCHOME may also be interested in ANCHOMEOTH (received antenatal care at some "other" home).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2440" name="C_ANCHOMEOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Other's home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCHOMEOTH (M57B) indicates whether the mothers received care at some "other" home. The meaning of "other" depends on the "home" sources specified in a given survey.

IPUMS-DHS users interested in using ANCHOMEOTH may also be interested in ANCHOME (received antenatal care at own home).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2441" name="C_ANCPUBHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCPUBHOS (M57E) indicates whether the mothers received care at a public hospital.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as ANCPUBHOS, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in ANCPUBHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2442" name="C_ANCPUBHC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCPUBHC (M57F) indicates whether the mothers received care at a public health center.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as ANCPUBHC, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in ANCPUBHC.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2443" name="C_ANCPUBHP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Public health post
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care, ANCPUBHP (M57G) indicates whether the mothers received care at a public health post.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2444" name="C_ANCPUBMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Public mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCPUBMOB (M57H) indicates whether the mothers received care at a public mobile clinic. 

IPUMS-DHS users should be careful to distinguish ANCPUBMOB from ANCPRIVMOB (private mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2445" name="C_ANCPUBOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Other public sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCPUBOTH (M57L) indicates whether the mothers received care at some "other" public medical source. The meaning of "other" depends on the specific response categories included in a given sample.

IPUMS-DHS users should be careful to distinguish ANCPUBOTH from ANCPRIVOTH ("other" under the private medical sector) and ANCOTHER ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2446" name="C_ANCPRIVHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Private hospital/clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCPRIVHOS (M57M) indicates whether the mothers received care at a private hospital or clinic.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as ANCPRIVHOS, while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2447" name="C_ANCPRIVMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Private mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCPRIVMOB (M57N) indicates whether the mothers received care at a private mobile clinic. 

IPUMS-DHS users should be careful to distinguish ANCPRIVMOB from ANCPUBMOB (public mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2448" name="C_ANCPRIVFPC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Private family planning clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care, ANCPRIVFPC indicates whether their mothers received care at a private family planning clinic.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2449" name="C_ANCPRIVMIS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Religious/mission hospital, health center, dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCPRIVMIS indicates whether the mothers received care at a faith-based health facility.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as ANCPRIVMIS, while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2450" name="C_ANCPRIVOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Other private sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCPRIVOTH (M57R) indicates whether the mothers received care at some "other" private medical source. The meaning of "other" depends on the specific response categories included in a given sample.

IPUMS-DHS users should be careful to distinguish ANCPRIVOTH from ANCPUBOTH ("other" under the public medical sector) and ANCOTHER ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2451" name="C_ANCOTHER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCOTHER (M57X) indicates whether the mothers received care at some "other" source. The meaning of "other" depends on the specific response categories included in a given sample.

IPUMS-DHS users should be careful to distinguish ANCOTHER from ANCPUBOTH ("other" under the public medical sector) and ANCPRIVOTH ("other" under the private medical sector). ANCOTHER includes those "other" categories that do not fit into the public or private medical sectors.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2452" name="C_ANCMW1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Religious hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCMW1 indicates whether they received care at a religious hospital. This response category is country-specific to Malawi.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ANCMW1 is combined with ANCMW2 (religious health center) in ANCPRIVMIS (all faith-based facilities) for the 2004, 2010, and 2016 Malawi samples. IPUMS-DHS users interested in using ANCMW1 are encouraged to review ANCPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2453" name="C_ANCMW2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place for antenatal care: Religious health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children whose mothers received antenatal care, ANCMW2 indicates whether they received care at a religious health center. This response category is country-specific to Malawi.

Some samples in the "ANC" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ANCMW2 is combined with ANCMW1 (religious hospital) in ANCPRIVMIS (all faith-based facilities) for the 2004, 2010, and 2016 Malawi samples. IPUMS-DHS users interested in using ANCMW2 are encouraged to review ANCPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for child antenatal care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2454" name="C_ANCARECOM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother told about pregnancy complications
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care while the child was in utero, ANCARECOM (M43) indicates whether the child's mother was told about the signs of pregnancy complications during antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2455" name="C_ANCARECGO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother told where to go for pregnancy complications
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children whose mothers received antenatal care while the child was in utero, and whose mothers were told about the signs of pregnancy complications, ANCARECGO (M44) indicates whether the mother was told where to go if she had such complications.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child pregnancy complications Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2456" name="C_BIRTHSZ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Size of child at birth (subjective report)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the last three to five years, BIRTHSZ (M18) indicates the size of the child at birth, reported subjectively by the mother.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Larger than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Very large
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Larger than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Smaller than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Smaller than average
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Very small
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          [no label]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          [no label]
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2457" name="C_BIRTHWT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Birthweight in kilos
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, BIRTHWT (M19) reports the child's birthweight in kilos with three implied decimal places (or, alternatively stated, in grams with no decimal places). Children who were not weighed are coded 9996.
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          9995+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Not weighed at birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2458" name="C_BIRTHWTREF" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of weight at birth (health card or recall)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, BIRTHWTREF (M19A) indicates whether the child's reported weight at birth (BIRTHWT) was recorded from a health card or based on the mother's recall. Children who were not weighed at birth are coded 0.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not weighed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          From written card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From mother's recall
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other answers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2459" name="C_DELCESR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child delivered by caesarian section
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years preceding the survey, DELCESR (M17) indicates whether the child was born by caesarian section. Question wording varied somewhat across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2460" name="C_DELPL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place child was delivered
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, DELPL (M15) reports where the child was delivered. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HOME
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Respondent's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Respondent's parents' home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Nurse/midwife's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          TBA's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Community/village health worker's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2160
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2170
        </catValu>
        <labl>
          Military hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2180
        </catValu>
        <labl>
          Day hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2280
        </catValu>
        <labl>
          Basic health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2290
        </catValu>
        <labl>
          Sub-health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2430
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2431
        </catValu>
        <labl>
          Community based distribution (CBD)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Government dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3112
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3113
        </catValu>
        <labl>
          Medical college hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3122
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Private nursing/maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3510
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3520
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3521
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3530
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Red Cross facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          CSI
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          Egyptian family planning association (EFPA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4204
        </catValu>
        <labl>
          Marie Stopes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Religious health center/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Religious dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Other religious/mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6100
        </catValu>
        <labl>
          En route to provider
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6200
        </catValu>
        <labl>
          Outside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6300
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2461" name="C_DELNURM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Nurse/midwife gave delivery care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years preceding the survey, DELNURM (M3B) indicates whether a nurse or midwife (categories combined or not distinguished) assisted with the child's delivery.

Some samples in the "DEL" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as DELNURM, while preserving the separate responses in country-specific variables.

For example, a given sample might include separate categories for nurse and midwife that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2462" name="C_DELTBA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Traditional birth attendant gave delivery care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years preceding the survey, DELTBA (M3G) indicates whether a traditional birth attendant assisted with the child's delivery. Wording for this response category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2463" name="C_DELREL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Relative gave delivery care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years preceding the survey, DELREL (M3H) indicates whether a relative assisted with the child's delivery. 

Women could report more than one type of healthcare (or traditional) provider.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2464" name="C_DELOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Other person gave delivery care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years preceding the survey, DELOTH (M3K) indicates whether some other person assisted with the child's delivery. The meaning of "other" must be interpreted relative to the specific categories included in a given sample. 

Women could report more than one type of healthcare (or traditional) provider.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2465" name="C_DELNONE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        No one gave delivery care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years preceding the survey, DELNONE (M3N) indicates whether no one assisted with the child's delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2466" name="C_DELMW2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Doctor/clinical officer gave delivery care (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the five years preceding the survey, DELMW2 indicates whether a doctor/clinical officer assisted with the child's delivery. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2467" name="C_DELMW3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Patient attendant gave delivery care (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the five years preceding the survey, DELMW3 indicates whether a ward/patient attendant assisted with the child's delivery. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child delivery care, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2468" name="C_DELPPCHKA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother's health checked after discharge/home delivery
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For last-born children under age 5 who were either a) delivered at home/away from a medical facility, or b) delivered at a medical facility where their mother did not receive a health check before being discharged, DELPPCHKA (M66) indicates whether the child's mother received a postpartum health check sometime after the delivery of the child.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2469" name="C_DELPPCHKATM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        How long after delivery mother's health check took place
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For last-born children under age 5 who were either a) delivered away from a health facility or b) delivered at a health facility where their mother did not receive a health check before being discharged, DELPPCHKATM (M67) reports the time in hours, days, or weeks between the delivery and the mother's postpartum health check. 

The related variable DELPPCHKA (M66) indicates whether the child's mother received a postnatal health check.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100 = Immediately/in first hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 = Hours: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199 = Hours: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Same day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 = Days: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299 = Days: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Same week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 = Weeks: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          391
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          392
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          393
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          394
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          395
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          396
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          397
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          398
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          399 = Weeks: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2470" name="C_DELPPCHKAWHO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Person who checked respondent's health after discharge/delivery at home
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For last-born children under age five who were either a) delivered away from a health facility or b) delivered at a health facility where their mother did not receive a health check before being discharged, DELPPCHKAWHO (M68) reports who conducted their mother's postpartum health check. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          TBA, unsure about training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Accredited social health activist (ASHA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Dispenser/compounder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2471" name="C_DELPPCHKALOC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Where respondent's health check after discharge/delivery at home took place
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For last-born children under age five who were either a) delivered away from a health facility or b) delivered at a health facility where their mother did not receive a health check before being discharged, DELPPCHKALOC (M69) reports where the child's mother's postpartum health check took place. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HOME
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Respondent's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Respondent's parents' home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          TBA home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Category I health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          Category II health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Unqualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3710
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3720
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          NGO static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          NGO satellite clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          CSI project
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Religious pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Other religious/mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2472" name="C_PNBABCK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's postnatal check within 2 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For last-born children under age 5, PNBABCK (M70) indicates whether the child had a postnatal check within 2 months of delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2473" name="C_PNBABCKTM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        How long after delivery child's postnatal check took place
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For last-born children under age 5 who had a health check within 2 months of delivery, PNBABCKTM (M71) reports the amount of time that passed before the child's health check. 

See the related variable PNBABCK (M70) for more information.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100 = Immediately/in first hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 = Hours: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199 = Hours: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 = Days: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299 = Days: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 = Weeks: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          399 = Weeks: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2474" name="C_PNBABCKWHO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Who performed newborn's postnatal check
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For last-born children under age five who received a health check within two months of delivery, PNBABCKWHO (M72) reports who conducted the child's postpartum health check. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Unqualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Nurse/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Nurse/midwife/paramedic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1912
        </catValu>
        <labl>
          Community skilled birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Health assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Health extension worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1926
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1930
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1931
        </catValu>
        <labl>
          Family welfare visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1932
        </catValu>
        <labl>
          Family welfare assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          TBA, unsure about training
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Community health mother and child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Accredited social health activist (ASHA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Matron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Village mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Homeopath
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Hakim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          NGO worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Dispenser/compounder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2475" name="C_PNBABCKLOC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Where child's health check took place
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For last-born children under age five who received a health check within two months of delivery, PNBABCKLOC (M53) reports where the child's postnatal health check took place. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HOME
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Respondent's home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Respondent's parents' home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          TBA home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Sub-center or sub-post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Outreach point
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Government maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Health box
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2905
        </catValu>
        <labl>
          Specialized medical school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3111
        </catValu>
        <labl>
          Specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3122
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Unqualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3500
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3600
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3700
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3710
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3720
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other private medical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3901
        </catValu>
        <labl>
          Private medical school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Satellite clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4130
        </catValu>
        <labl>
          Red Cross
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4140
        </catValu>
        <labl>
          Marie Stopes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4201
        </catValu>
        <labl>
          Egyptian FP association
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4202
        </catValu>
        <labl>
          CSI project
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4203
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Religious pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Other religious/mission
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2476" name="C_PPCHECK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother's health checked before discharge
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For last-born children under age 5 who were delivered at a health facility, PPCHECK (M62) indicates whether the child's mother received a postpartum health check before she was discharged from the facility.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2477" name="C_PPCHECKTM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Timing of mother's health check before discharge
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For last-born children under age 5 who were delivered at a health facility, and whose mothers received a health check before being discharged from the facility, PPCHECKTM (M63) reports the amount of time in hours, days, or weeks between the delivery and the mother's postpartum health check.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Zero hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          98 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          1 week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          2 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          3 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          5 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          6 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          7 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          8 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          9 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          10 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          11 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          12 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          13 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          14 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          15 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          16 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          17 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          18 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          19 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          20 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          21 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          22 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          23 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          24 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          25 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          26 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          27 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          28 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          29 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          30 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          31 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          32 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          33 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          34 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          35 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          36 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          37 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          38 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          39 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          40 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          41 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          42 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          43 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          44 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          45 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          46 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          47 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          48 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          49 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          50 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          51 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          52 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          53 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          54 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          55 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          56 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          57 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          58 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          59 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          60 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          61 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          62 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          63 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          64 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          65 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          66 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          67 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          68 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          69 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          70 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          71 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          72 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          73 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          74 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          75 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          76 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          77 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          78 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          79 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          80 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          81 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          82 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          83 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          84 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          85 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          86 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          87 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          88 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          89 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          90 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          91 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          92 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          93 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          94 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          95 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          96 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          97 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          98 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Weeks: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2478" name="C_PPCHECKWHO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Person who checked respondent's health before discharge
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For last-born children under age 5 who were delivered at a health facility, and whose mothers received a health check before being discharged from the facility, PPCHECKWHO (M64) reports who conducted their mother's postpartum health check. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          HEALTH PROFESSIONAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Doctor/clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Nurse/midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Nurse/midwife/LHV
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1910
        </catValu>
        <labl>
          Trained health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1911
        </catValu>
        <labl>
          Clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1920
        </catValu>
        <labl>
          Limited training health personnel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1921
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1922
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1923
        </catValu>
        <labl>
          MCH aide
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1924
        </catValu>
        <labl>
          Assistant clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1925
        </catValu>
        <labl>
          Nursing aide/assistant nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          OTHER PERSON
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Trained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Untrained TBA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Accredited social health activist (ASHA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Lady health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2479" name="C_PPVITA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's mother received Vitamin A does in first 2 months after delivery
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, PPVITA (M54) indicates whether the child's mother received a vitamin A dose in the first 2 months after delivery of the child in question.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2480" name="C_PPABMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Duration of mother's postpartum abstinence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years before the survey, PPABMO (M8) indicates the duration, in months, of the mother's postpartum abstinence after the child was born.  Children with mothers who were still abstaining at the time of interview were excluded from PPABMO, but they are included in the similar variable PPABMOC (M9). 

According to the DHS Recode Manuals, the maximum period allowed during the data editing was the interval between the date of birth of the child and the date of conception of the following child (with date of birth minus nine months used for the date of conception) or until the date of interview if there was no following birth. Cases exceeding this duration were left with the original response, but are coded with one of the flag codes on PPABFLAG (M29) and are coded as "Inconsistent" on PPABMOC.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Sex res/no duration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still abstaining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2481" name="C_PPABMOC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Months of mother's postpartum abstinence (including women still abstaining)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years preceding the survey, PPABMOC (M9) reports the calculated months of the child's mother's postpartum abstinence, including the duration for mothers who were still abstaining at the time of the interview.  The similar variable PPABMO also reports the calculated months of postpartum abstinence but excludes women who were still abstaining when interviewed.

According to the DHS Recode Manuals, the maximum period allowed during the data editing was the interval between the date of birth of the child and the date of conception of the following child (with date of birth minus nine months used for the date of conception) or until the date of interview if there was no following birth. Cases exceeding this duration are coded with one of the flag codes on PPABFLAG and are coded as "Inconsistent" in PPABMOC.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2482" name="C_PPABFLAG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for mother's postpartum abstinence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PPABFLAG (M29) is a flag variable reporting the type of problem found when editing responses about the duration of mother's postpartum abstinence (in PPABMO), for mothers who had resumed sexual relations after the child was born (in the last three to five years). A code of 0 indicates no problem with the original response.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2483" name="C_PPAMHMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Duration of mother's postpartum amenorrhea in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years before the survey, PPAMHMO (M6) reports the duration, in months, of the mother's postpartum amenorrhea after delivery of the child. Children whose mothers' periods had not returned at the time of interview were excluded from PPAMHMO, but children whose mothers were still amenorrheic were included in calculations for the similar variable PPAMHMOC (M7).  

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Period not returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Pd. ret /no duration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2484" name="C_PPAMHMOC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Months of mother's postpartum amenorrhea (including women still amenorrheic)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPAMHMOC (M9) reports the duration, in months, of mother's postpartum amenorrhea after the birth of the child, for children born in the three to five years preceding the survey. Mothers whose period had not returned before the following birth or prior to the interview were included in PPAMHMOC.  By contrast, only children of women whose menses had resumed were included in the similar variable PPAMHMO. 

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the mother's following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth. 

For DHS Phase II forward, inconsistent durations based on the original reporting of the duration of amenorrhea were recoded to "Inconsistent" (code "96" in IPUMS-DHS). In cases where the duration was one month longer than the interval, the duration was shortened by one month, consistent with Phase I.  For Model "A" countries in Phase II only, if the duration of mother's postpartum amenorrhea extended into her pregnancy in the calendar, the duration was shortened to the start of the following pregnancy.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2485" name="C_PPAMFLAG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Flag variable for mother's postpartum amenorrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPAMFLAG (M28) reports the type of problem, if any, found in editing data on the duration of the child's mother's postpartum amenorrhea, for children born in the three to five years before the survey. Cases with no known problem are coded 0.  

For discussion of the editing rules implemented (by the survey administrators) for data on postpartum amenorrhea, see PPAMHMO and PPAMHMOC,]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and succeeding birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child health postpartum Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2486" name="C_BRSFEDUR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years preceding the survey, BRSFEDUR (M4) reports the calculated months of breastfeeding for those who are no longer being breastfed. 

The related variable BRSFEDMO (M5) differs by including children who were still breastfeeding at the time of the interview. The variable BRSFEDCAT provides categorical information about breastfeeding, by indicating whether children were ever breastfed, and, if so, whether they are still breastfeeding. 

The maximum period allowed for BRSFEDUR during the data editing (by survey administrators) was the interval between the date of birth of the child and the date of interview. See the "Comparability" tab for more information regarding comparability across phases.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Breastfed until died
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Still breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child's breastfeeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2487" name="C_BRSFEDMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Duration of breastfeeding in months (including still breastfed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years before the survey, BRSFEDMO (M5) reports the calculated months of breastfeeding, including cases where 1) the child's mother was still breastfeeding at the time of the interview or 2) the child had been breastfed until his or her death. Cases in these two categories were excluded from the related variable BRSFEDUR on the duration of breastfeeding.

For DHS Phase II forward, inconsistent durations based on the original report of the duration of breastfeeding were coded as "Inconsistent." In cases where the reported duration was one month longer than the relevant interval, the duration was shortened by one month.  If the duration of breastfeeding exceeded the child's age at death, the duration of breastfeeding was changed to the child's age at death.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Ever breastfed, not currently breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Missing: Not asked (child died)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Never breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child's breastfeeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2488" name="C_BRSFDFLAG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Flag for breastfeeding, problem with duration
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the three to five years preceding the survey, BRSFDFLAG (M27) is a flag variable that indicates the type of problem, if any, found in editing responses on their duration of breastfeeding. Cases without a problem are coded 0.

For duration of breastfeeding, see BRSFEDUR (M4).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Greater than interval between birth and date of interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Greater than interval between birth and date of interview by only 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Greater than interval between birth and age at death
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          During pregnancy in calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child's breastfeeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2489" name="C_FEDANY24HX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Times child fed any solid, semi-solid, or soft foods in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FEDANY24HX (M39) reports how many times the child ate any solid, semi-solid, or soft foods during the previous day, either at night or during the daytime. This variable is a characteristic of the child.

The related variable FEDANY24H (M39A) indicates whether the child ate any solid, semi-solid, or soft foods in the previous 24 hours.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child feeding, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2490" name="C_BRSFEDBOT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child drank from bottle with nipple in last day or night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For living children born in the three to five years preceding the survey, BRSFEDBOT (M38) indicates whether the child drank anything from a bottle with a nipple during the previous day and night.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child feeding, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2491" name="C_VITA6MOKID" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child was given Vitamin A in the last 6 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        VITA6MOKID (H34) indicates whether the child was given Vitamin A in the last 6 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child feeding, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2492" name="C_MAFEDWATER24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child plain water in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDWATER24H (V409) indicates whether the child's mother gave her youngest surviving child plain water during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child plain water in the previous day, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDWATER24H thus does not necessarily indicate whether a particular child of the mother drank plain water during the previous day. IPUMS-DHS users should instead employ the variable FEDWATER24H (M37A) to determine whether the child drank plain water during the previous day. See Comparability.

The related variable MAFEDWATER24HX (V469A) reports the number of times the child's mother gave her youngest surviving child plain water during the previous 24 hours. MAFEDWATERWKD (V470A) reports the number of days the child's mother gave her youngest surviving child plain water during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2493" name="C_MAFEDJUICE24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child juice in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDJUICE24H (V410) indicates whether the child's mother gave her youngest surviving child juice during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child juice in the previous day, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDJUICE24H thus does not necessarily indicate whether a particular child of the mother drank juice during the previous day. IPUMS-DHS users should instead employ the variable FEDJUICE24H (M37C) to determine whether the child drank juice during the previous day. See Comparability.

The related variable MAFEDJUICE24HX (V469C) reports the number of times the child's mother gave her youngest surviving child juice during the previous 24 hours. MAFEDJUICEWKD (V470C) reports the number of days the child's mother gave her youngest surviving child juice during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2494" name="C_MAFEDCOFTEA24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child coffee or tea in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDCOFTEA24H (V410A) indicates whether the child's mother gave her youngest surviving child coffee or tea during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child coffee or tea in the previous day, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDCOFTEA24H thus does not necessarily indicate whether a particular child of the mother drank coffee or tea during the previous day. IPUMS-DHS users should instead employ the variable FEDCOFTEA24H to determine whether the child drank coffee or tea during the previous day. See Comparability.

The related variable MAFEDCOFTEA24HX reports the number of times the child's mother gave her youngest surviving child coffee or tea during the previous 24 hours.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2495" name="C_MAFEDFORM24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child baby formula in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDFORM24H (V411F) indicates whether the child's mother gave her youngest surviving child infant formula during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child infant formula in the previous day, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDFORM24H thus does not necessarily indicate whether a particular child of the mother drank infant formula during the previous day. IPUMS-DHS users should instead employ the variable FEDFORM24H (M37F) to determine whether the child drank infant formula during the previous day. See Comparability.

The related variable MAFEDFORM24HX (V469F) reports the number of times the child's mother gave her youngest surviving child infant formula during the previous 24 hours. MAFEDFORMWKD (V470F) reports the number of days the child's mother gave her youngest surviving child infant formula during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2496" name="C_MAFEDGENMILK24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child tinned, powdered, or fresh milk in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDGENMILK24H (V411) indicates whether the child's mother gave her youngest surviving child any milk, such as tinned, powdered, or fresh animal milk, during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child any milk, such as tinned, powdered, or fresh animal milk, in the previous day, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDGENMILK24H thus does not necessarily indicate whether a particular child of the mother drank any milk, such as tinned, powdered, or fresh animal milk, during the previous day. IPUMS-DHS users should instead employ the variable FEDGENMILK24H to determine whether the child drank any milk, such as tinned, powdered, or fresh animal milk, during the previous day. See Comparability.

The related variable MAFEDGENMILK24HX (V469H) reports the number of times the child's mother gave her youngest surviving child any milk, such as tinned, powdered, or fresh animal milk, during the previous 24 hours. MAFEDGENMILKWKD reports the number of days the child's mother gave her youngest surviving child any milk, such as tinned, powdered, or fresh animal milk, during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2497" name="C_MAFEDSOUP24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child soup or broth in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDSOUP24H (V412C) indicates whether the child's mother gave her youngest surviving child clear broth or soup during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child clear broth or soup in the previous day, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDSOUP24H thus does not necessarily indicate whether a particular child of the mother drank clear broth or soup during the previous day. IPUMS-DHS users should instead employ the variable FEDSOUP24H to determine whether the child drank clear broth or soup during the previous day. See Comparability.

The related variable MAFEDSOUP24HX reports the number of times the child's mother gave her youngest surviving child clear broth or soup during the previous 24 hours. MAFEDSOUPWKD reports the number of days the child's mother gave her youngest surviving child clear broth or soup during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2498" name="C_MAFEDSODA24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child soda or other sugary beverage in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDSODA24H indicates whether the child's mother gave her youngest surviving child soda or other sugary beverages during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child soda or other sugary beverages in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDSODA24H thus does not necessarily indicate whether a particular child of the mother drank soda or other sugary beverages during the previous day. IPUMS-DHS users should instead employ the variable FEDSODA24H to determine whether the child drank soda or other sugary beverages during the previous day. See Comparability.

The related variable MAFEDSODA24HX reports the number of times the child's mother gave her youngest surviving child soda or other sugary beverages during the previous 24 hours. MAFEDSODAWKD reports the number of days the child's mother gave her youngest surviving child soda or other sugary beverages during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2499" name="C_MAFEDORS24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child ORS (sugar-salt-water solution) in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDORS24H indicates whether the child's mother gave her youngest surviving child ORS (oral rehydration solution, made from sugar, salt, and water) during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child ORS in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDORS24H thus does not necessarily indicate whether a particular child of the mother drank ORS during the previous day. IPUMS-DHS users should instead employ the variable FEDORS24H to determine whether the child drank ORS during the previous day. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2500" name="C_MAFEDOTHLIQ24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child other liquid in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDOTHLIQ24H (V413) indicates whether the child's mother gave her youngest surviving child other liquids during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. The meaning of "other" must be interpreted relative to the specific categories included in a particular sample.

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child other liquids in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDOTHLIQ24H thus does not necessarily indicate whether a particular child of the mother drank other liquids during the previous day. IPUMS-DHS users should instead employ the variable FEDOTHLIQ24H (M37L) to determine whether the child drank other liquids during the previous day. See Comparability.

The related variable MAFEDOTHLIQ24HX (V469L) reports the number of times the child's mother gave her youngest surviving child other liquids during the previous 24 hours. MAFEDOTHLIQWKD (V470L) reports the number of days the child's mother gave her youngest surviving child other liquids during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2501" name="C_MAFEDCEREAL24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child commerciall fortified baby food/cereal in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDCEREAL24H (V412A) indicates whether the child's mother gave her youngest surviving child any commercially fortified baby food, such as Cerelac, during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child any commercially fortified baby food in the previous day, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDCEREAL24H thus does not necessarily indicate whether a particular child of the mother ate any commercially fortified baby food during the previous day. IPUMS-DHS users should instead employ the variable FEDCEREAL24H to determine whether the child ate any commercially fortified baby food during the previous day. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2502" name="C_MAFEDGRAIN24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child grain in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDGRAIN24H (V414E) indicates whether the child's mother gave her youngest surviving child bread, rice, noodles, porridge, or other foods made from grain during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child bread, rice, noodles, porridge, or other foods made from grain in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDGRAIN24H thus does not necessarily indicate whether a particular child of the mother ate bread, rice, noodles, porridge, or other foods made from grain during the previous day. IPUMS-DHS users should instead employ the variable FEDGRAIN24H (M37Q) to determine whether the child ate bread, rice, noodles, porridge, or other foods made from grain during the previous day. See Comparability.

The related variable MAFEDGRAIN24HX (V469Q) reports the number of times the child's mother gave her youngest surviving child bread, rice, noodles, porridge, or other foods made from grain during the previous 24 hours. MAFEDGRAINWKD (V470Q) reports the number of days the child's mother gave her youngest surviving child bread, rice, noodles, porridge, or other foods made from grain during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2503" name="C_MAFEDYELVEG24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child orange/yellow vegetables in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDYELVEG24H (V414I) indicates whether the child's mother gave her youngest surviving child pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside during the previous day, either at night or during the daytime. Such yellow vegetables contain various essential nutrients, including vitamin A.
MAFEDYELVEG24H describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDYELVEG24H thus does not necessarily indicate whether a particular child of the mother ate pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside during the previous day. IPUMS-DHS users should instead employ the variable FEDYELVEG24H (M37M) to determine whether the child ate pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside during the previous day. See Comparability.

The related variable MAFEDYELVEG24HX (V469M) reports the number of times the child's mother gave her youngest surviving child pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside during the previous 24 hours. MAFEDYELVEGWKD (V470M) reports the number of days the child's mother gave her youngest surviving child pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2504" name="C_MAFEDTUBER24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child local tubers in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDTUBER24H (V414F) indicates whether the child's mother gave her youngest surviving child white potatoes, white yams, manioc, cassava, or any other foods made from roots during the previous day, either at night or during the daytime. These vegetables are a source of healthful nutrients but lack the vitamin A content of their yellow equivalents, such as sweet potatoes and orange yams. MAFEDTUBER24H describes a characteristic of the mother rather than the child. 

The complementary variable MAFEDYELVEG24H (V414I) indicates whether the child's mother gave her youngest surviving child pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside.

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child white potatoes, white yams, manioc, cassava, or any other foods made from roots in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDTUBER24H thus does not necessarily indicate whether a particular child of the mother ate white potatoes, white yams, manioc, cassava, or any other foods made from roots during the previous day. IPUMS-DHS users should instead employ the variable FEDTUBER24H (M37R) to determine whether the child ate white potatoes, white yams, manioc, cassava, or any other foods made from roots during the previous day. See Comparability.

The related variable MAFEDTUBER24HX (V469R) reports the number of times the child's mother gave her youngest surviving child white potatoes, white yams, manioc, cassava, or any other foods made from roots during the previous 24 hours. MAFEDTUBERWKD (V470R) reports the number of days the child's mother gave her youngest surviving child white potatoes, white yams, manioc, cassava, or any other foods made from roots during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2505" name="C_MAFEDGRNVEG24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child green leafy vegetables in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDGRNVEG24H (V414J) indicates whether the child's mother gave her youngest surviving child any dark green, leafy vegetables during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child any dark green, leafy vegetables in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDGRNVEG24H thus does not necessarily indicate whether a particular child of the mother ate any dark green, leafy vegetables during the previous day. IPUMS-DHS users should instead employ the variable FEDGRNVEG24H (M37N) to determine whether the child ate any dark green, leafy vegetables during the previous day. See Comparability.

The related variable MAFEDGRNVEG24HX (V469N) reports the number of times the child's mother gave her youngest surviving child any dark green, leafy vegetables during the previous 24 hours. MAFEDGRNVEGWKD (V470N) reports the number of days the child's mother gave her youngest surviving child any dark green, leafy vegetables during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2506" name="C_MAFEDVITAFRUIT24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child fruits with vitamin A in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDVITAFRUIT24H (V414K) indicates whether the child's mother gave her youngest surviving child fruits rich in vitamin A, such as ripe mangoes or papayas, during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child fruits rich in vitamin A in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDVITAFRUIT24H thus does not necessarily indicate whether a particular child of the mother ate fruits rich in vitamin A during the previous day. IPUMS-DHS users should instead employ the variable FEDVITAFRUIT24H (M37O) to determine whether the child ate fruits rich in vitamin A during the previous day. See Comparability.

The related variable MAFEDVITAFRUIT24HX (V469O) reports the number of times the child's mother gave her youngest surviving child fruits rich in vitamin A during the previous 24 hours. MAFEDVITAFRUITWKD (V470O) reports the number of days the child's mother gave her youngest surviving child fruits rich in vitamin A during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2507" name="C_MAFEDOFRTVEG24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child (other) fruits/vegetables in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDOFRTVEG24H (V414L) indicates whether the child's mother gave her youngest surviving child other fruits or vegetables during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. The meaning of "other" must be interpreted relative to the specific food  categories included in a particular sample.

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child other fruits or vegetables in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDOFRTVEG24H thus does not necessarily indicate whether a particular child of the mother ate other fruits or vegetables during the previous day. IPUMS-DHS users should instead employ the variable FEDOFRTVEG24H (M37U) to determine whether the child ate other fruits or vegetables during the previous day. See Comparability.

The related variable MAFEDOFRTVEG24HX (V469U) reports the number of times the child's mother gave her youngest surviving child other fruits or vegetables during the previous 24 hours. MAFEDOFRTVEGWKD (V470U) reports the number of days the child's mother gave her youngest surviving child other fruits or vegetables during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2508" name="C_MAFEDORGAN24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child organ meat in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDORGAN24H (V414M) indicates whether the child's mother gave her youngest surviving child organ meat, such as liver, kidney, or heart during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child organ meat in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDORGAN24H thus does not necessarily indicate whether a particular child of the mother ate organ meat during the previous day. IPUMS-DHS users should instead employ the variable FEDORGAN24H to determine whether the child ate organ meat during the previous day. See Comparability.

The related variable MAFEDORGAN24HX reports the number of times the child's mother gave her youngest surviving child organ meat during the previous 24 hours. MAFEDORGANWKD reports the number of days the child's mother gave her youngest surviving child organ meat during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2509" name="C_MAFEDMEAT24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child meat in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDMEAT24H (V414H) indicates whether the child's mother gave her youngest surviving child any meat, such as beef, pork, lamb, goat, chicken, or duck, during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child meat in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDMEAT24H thus does not necessarily indicate whether a particular child of the mother ate meat during the previous day. IPUMS-DHS users should instead employ the variable FEDMEAT24H (M37T) to determine whether the child ate meat during the previous day. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2510" name="C_MAFEDEGG24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child eggs in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDEGG24H (V414G) indicates whether the child's mother gave her youngest surviving child eggs during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child eggs in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDEGG24H thus does not necessarily indicate whether a particular child of the mother ate eggs during the previous day. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2511" name="C_MAFEDFISH24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child fish or shellfish in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDFISH24H (V414N) indicates whether the child's mother gave her youngest surviving child fresh or dried fish or shellfish during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child fresh or dried fish or shellfish in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDFISH24H thus does not necessarily indicate whether a particular child of the mother ate fresh or dried fish or shellfish during the previous day. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2512" name="C_MAFEDLEGUM24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child legumes (beans, peas, nuts) in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDLEGUM24H (V414O) indicates whether the child's mother gave her youngest surviving child legumes (beans, peas, lentils, or nuts) during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

The related variable MAFEDNUTS24H indicates whether the child's mother gave her youngest surviving child nuts during the previous day, either at night or during the daytime. To maximize comparability, users may want to combine responses to MAFEDNUTS24H and MAFEDLEGUM24H.

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child legumes in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDLEGUM24H thus does not necessarily indicate whether a particular child of the mother ate legumes during the previous day. IPUMS-DHS users should instead employ the variable FEDLEGUM24H (M37W) to determine whether the child ate legumes during the previous day. See Comparability.

The related variable MAFEDLEGUM24HX (V469W) reports the number of times the child's mother gave her youngest surviving child legumes during the previous 24 hours. MAFEDLEGUMWKD (V470W) reports the number of days the child's mother gave her youngest surviving child legumes during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2513" name="C_MAFEDCHEESE24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child cheese or yogurt in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDCHEESE24H (V414P) indicates whether the child's mother gave her youngest surviving child cheese during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

The related variable MAFEDYOGURT24H (V414V) indicates whether the child's mother gave her youngest surviving child yogurt during the previous day. Because FEDCHEESE24H may include children who ate either cheese or yogurt, users may want to combine responses to MAFEDYOGURT24H and MAFEDCHEESE24H to maximize comparability.

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child cheese in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDCHEESE24H thus does not necessarily indicate whether a particular child of the mother ate cheese during the previous day. IPUMS-DHS users should instead employ the variable FEDCHEESE24H (M37X) to determine whether the child ate cheese during the previous day. See Comparability.

The related variable MAFEDCHEESE24HX reports the number of times the child's mother gave her youngest surviving child cheese during the previous 24 hours. MAFEDCHEESEWKD (V470X) reports the number of days the child's mother gave her youngest surviving child cheese during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2514" name="C_MAFEDYOGURT24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child yogurt in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDYOGURT24H (V414V) indicates whether the child's mother gave her youngest surviving child yogurt during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child yogurt in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDYOGURT24H thus does not necessarily indicate whether a particular child of the mother ate yogurt during the previous day. IPUMS-DHS users should instead employ the variable FEDYOGURT24H to determine whether the child ate yogurt during the previous day. See Comparability.

The related variable MAFEDYOGURT24HX (V469X) reports the number of times the child's mother gave her youngest surviving child yogurt during the previous 24 hours.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2515" name="C_MAFEDFATS24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child fat, butter, or oil in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDFATS24H (V414Q) indicates whether the child's mother gave her youngest surviving child food made with oil, fat, or butter during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child food made with oil, fat, or butter in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDFATS24H thus does not necessarily indicate whether a particular child of the mother ate food made with oil, fat, or butter during the previous day. IPUMS-DHS users should instead employ the variable FEDFATS24H (M37Y) to determine whether the child ate food made with oil, fat, or butter during the previous day. See Comparability.

The related variable MAFEDFATS24HX (V469Y) reports the number of times the child's mother gave her youngest surviving child food made with oil, fat, or butter during the previous 24 hours. MAFEDFATSWKD (V470Y) reports the number of days the child's mother gave her youngest surviving child food made with oil, fat, or butter during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2516" name="C_MAFEDSWEETS24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child sweets (candy, pastry) in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDSWEETS24H (V414R) indicates whether the child's mother gave her youngest surviving child any sugary foods such as chocolates, sweets, candies, pastries, cakes or biscuits during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child sugary foods in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDSWEETS24H thus does not necessarily indicate whether a particular child of the mother ate sugary foods during the previous day. IPUMS-DHS users should instead employ the variable FEDSWEETS24H, if available, to determine whether the child ate sugary food during the previous day. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2517" name="C_MAFEDSMPROT24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child small protein (insects, snails, snakes) in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDSMPROT24H indicates whether the child's mother gave her youngest surviving child any small protein sources, such as insects, grasshoppers, snails, eels, termites, or snakes during the previous day, either at night or during the daytime. MAFEDSMPROT24H describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child insects, grasshoppers, snails, eels, termites, or snakes in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDSMPROT24H thus does not necessarily indicate whether a particular child of the mother ate insects, grasshoppers, snails, eels, termites, or snakes during the previous day. IPUMS-DHS users should instead employ the variable FEDSMPROT24H to determine whether the child ate insects, grasshoppers, snails, eels, termites, or snakes during the previous day. See Comparability.

The related variable MAFEDSMPROT24HX reports the number of times the child's mother gave her youngest surviving child insects, grasshoppers, snails, eels, termites, or snakes during the previous 24 hours. MAFEDSMPROTWKD reports the number of days the child's mother gave her youngest surviving child grasshoppers, snails, eels, termites, or snakes during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2518" name="C_MAFEDVIT24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child vitamins in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDVIT24H indicates whether the child's mother gave her youngest surviving child vitamins or mineral supplements during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child vitamins or mineral supplements in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDVIT24H thus does not necessarily indicate whether a particular child of the mother consumed vitamins or mineral supplements during the previous day. IPUMS-DHS users should instead employ the variable FEDVIT24H to determine whether the child consumed vitamins or mineral supplements during the previous day. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2519" name="C_MAFEDFERMPOR24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child fermented porridge in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDFERMPOR24H indicates whether the child's mother gave her youngest surviving child fermented porridge during the previous day, either at night or during the daytime. MAFEDFERMPOR24H describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child fermented porridge in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDFERMPOR24H thus does not necessarily indicate whether a particular child of the mother ate or drank fermented porridge during the previous day. IPUMS-DHS users should instead employ the variable FEDFERMPOR24H to determine whether the child ate or drank fermented porridge during the previous day. See Comparability.

The related variable MAFEDFERMPOR24HX reports the number of times the child's mother gave her youngest surviving child fermented porridge during the previous 24 hours. MAFEDFERMPORWKD reports the number of days the child's mother gave her youngest surviving child fermented porridge during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2520" name="C_MAFEDDRFRVEG24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child dried fruits or vegetables in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDDRFRVEG24H indicates whether the child's mother gave her youngest surviving child dried fruits or vegetables during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child dried fruits or vegetables in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDDRFRVEG24H thus does not necessarily indicate whether a particular child of the mother ate dried fruits or vegetables during the previous day.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2521" name="C_MAFEDOTHER24H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Mother fed youngest child other solid, semi-solid, or soft food in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDOTHER24H (V414S) indicates whether the child's mother gave her youngest surviving child any other solid or semi-solid foods during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. The meaning of "other" must be interpreted relative to the specific food categories mentioned in a survey.

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child any other solid or semi-solid foods in the previous day, all of her young children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDOTHER24H thus does not necessarily indicate whether a particular child of the mother ate any other solid or semi-solid foods during the previous day. IPUMS-DHS users should instead employ the variable FEDOTHER24H (M37P) to determine whether the child ate any other solid or semi-solid foods during the previous day. See Comparability.

The related variable MAFEDOTHER24HX reports the number of times the child's mother gave her youngest surviving child any other solid or semi-solid foods during the previous 24 hours. MAFEDOTHERWKD reports the number of days the child's mother gave her youngest surviving child any other solid or semi-solid foods during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods fed child in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2522" name="C_MAFEDGENMILK24HX" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Times mother fed youngest child tinned, powdered, or fresh milk in past 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAFEDGENMILK24HX (V469H) reports how many times the child's mother gave her youngest surviving child any milk, such as tinned, powdered, or fresh animal milk, during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child. 

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child any milk in the previous day, all of her children in the data are coded as "yes" (codes "1" through "7"), including any children who have died or who live elsewhere. 

A positive response in MAFEDGENMILK24HX thus does not necessarily indicate whether a particular child of the mother drank any milk during the previous day. IPUMS-DHS users should instead employ the variable FEDGENMILK24HX to determine how many times the child drank any milk during the previous day. See Comparability.

The related variable MAFEDGENMILK24H (V411) indicates whether the child's mother gave her youngest surviving child any milk during the previous 24 hours. MAFEDGENMILKWKD reports the number of days the child's mother gave her youngest surviving child any milk during the past week.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Times child fed foods in past 24 hours Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2523" name="C_NBFEDANY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Any liquid other than breast milk given in first 3 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the five years before the survey and who were ever breastfed, NBFEDANY (M55) indicates whether the child was given anything other than breast milk to drink in the first three days after delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2524" name="C_NBFEDMILK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Milk
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, NBFEDMILK (M55A) indicates whether the child was given milk in the first three days after delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2525" name="C_NBFEDFORM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Formula
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, NBFEDFORM (M55G) indicates whether the child was given infant formula in the first three days after delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2526" name="C_NBFEDJUI" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Fruit juice
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, NBFEDJUI (M55F) indicates whether the child was given fruit juice in the first three days after delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2527" name="C_NBFEDGP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Gripe water
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, NBFEDGP (M55D) indicates whether the child was given gripe water in the first three days after delivery. Gripe water is liquid (whose ingredients vary) that is given to infants to treat colic and other stomach ailments.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2528" name="C_NBFEDORT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar and salt water solution
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, NBFEDORT (M55E) indicates whether the child was given a sugar-salt-water solution in the first three days after delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2529" name="C_NBFEDSUG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Sugar water
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, NBFEDSUG (M55C) indicates whether the child was given sugar or glucose water in the first three days after delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2530" name="C_NBFEDWAT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Plain water
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, NBFEDWAT (M55B) indicates whether the child was given plain water in the first three days after delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2531" name="C_NBFEDTEA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Tea/infusions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, NBFEDTEA (M55H) indicates whether the child was given tea/infusions in the first three days after delivery. Wording varied somewhat across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2532" name="C_NBFEDHON" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Honey
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the five years before the survey, NBFEDHON (M55I) indicates whether the child was given honey in the first three days after delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2533" name="C_NBFEDHERB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Herbs
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the five years before the survey, NBFEDHERB indicates whether the child was given herbs in the first three days after delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2534" name="C_NBFEDPORR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Porridge
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the five years before the survey, NBFEDPORR indicates whether the child was given porridge in the first three days after delivery.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2535" name="C_NBFEDOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, NBFEDOTH (M55X) indicates whether the child was given some other liquid in the first three days after delivery. The meaning of "other" is relative to the specific categories included in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2536" name="C_NBFEDNO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Liquids given before breastmilk, first 3 days: Nothing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years before the survey, NBFEDNO (M55Z) indicates whether the child was given nothing (i.e., no supplemental fluids) to drink in the first three days after delivery. Some children may have been fed the mother's colostrum, a nourishing milky fluid that comes from the breast before true milk appears.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, given nothing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Foods given to newborns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2537" name="C_WORMTREKID" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given drugs for intestinal parasites in last 6 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WORMTREKID (H43) reports whether the child was given drugs for intestinal parasites in the last 6 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Misc childhood illnesses Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2538" name="C_COURECENT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child had cough/difficult breathing recently
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5, COURECENT (H31) indicates whether the child experienced a cough in the past 2 weeks. Question wording differences may limit the comparability of COURECENT; see Comparability.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, past four weeks/month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, last 24 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, last 2 to 14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Yes, last two weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness or fever Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2539" name="C_COUSHORTBRE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child breathed with short, rapid breaths when had cough
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        COUSHORTBRE (H31B) indicates whether the child experienced fast, short, rapid breaths or difficulty breathing in the last 2 weeks.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness or fever Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2540" name="C_COUCHESTPROB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child with cough has problem in chest or sinuses only
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who experienced fast or difficult breathing in the past 2 weeks, COUCHESTPROB (H31C) indicates whether the child's difficulty in breathing was due to a problem in the chest and/or a blocked or runny nose.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Chest only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Nose only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Both
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness or fever Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2541" name="C_COUFLUIDUPDN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Amount offered child to drink when had cough
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had a cough in the past 2 weeks, COUFLUIDUPDN (H31D) indicates whether the child was given more, less, or the same amount of fluid as usual during the illness. Children receiving less fluid are further categorized into "somewhat less," "much less," and "nothing to drink."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Nothing to drink
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Much less
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Somewhat less
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          More
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness or fever Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2542" name="C_COUFOODUPDN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Amount of food offered to child with cough
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had a cough in the past 2 weeks, COUFOODUPDN (H31E) indicates whether the child was given more, less, or the same amount of food as usual during the illness. Children receiving less food are further categorized into "somewhat less," "much less," and "stopped food."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Stopped food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never gave food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Much less
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Somewhat less
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          More
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness or fever Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2543" name="C_FEVRECENT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child had fever in last two/four weeks
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children born in the three to five years preceding the survey, FEVRECENT (H22) indicates whether the child had a fever in recent weeks (most often in the previous two weeks). See Comparability.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, fever in last 2 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, fever in last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness or fever Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2544" name="C_FEVBLOODTEST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Blood taken from child's finger or heel for testing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had a fever in the past 2 weeks, FEVBLOODTEST (H47) indicates whether blood was taken from the child's finger or heel for testing. Such testing might have been done to determine whether malaria-causing parasites were in the blood.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness or fever Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2545" name="C_FEVTREWAITDAYS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of days after fever started advice/treatment was sought
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children born in the 5 years before the survey and who received treatment or advice for a fever or cough, FEVTREWAITDAYS (H46B) reports the number of days after the fever or cough began that advice or treatment was first sought.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Same day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness or fever Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2546" name="C_FEVGIVSP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: SP/Fansidar (antimalarial)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVSP (ML13A) indicates whether the child was given the antimalarial drug sulfadoxine/pyrimethamine, also known as Fansidar. Other common trade names include Maloxine, Malafan, Metakelfin (sulphamethoxypyrazine/pyrimethamine), Novidar, and Amalar.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given SP/Fansidar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given SP/Fansidar for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given SP/Fansidar for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given SP/Fansidar for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given SP/Fansidar for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given SP/Fansidar for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2547" name="C_FEVGIVCHLOR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: Chloroquine (antimalarial)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVCHLOR (ML13B) indicates whether the child was given the antimalarial drug chloroquine.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given chloroquine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given chloroquine for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given chloroquine for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given chloroquine for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given chloroquine for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given chloroquine for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2548" name="C_FEVGIVAMOQ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: Amodiaquine (antimalarial)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVAMOQ (ML13C) indicates whether the child was given the antimalarial drug amodiaquine. Common trade names for amodiaquine include Camoquin and Flavoquine.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given amodiaquine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given amodiaquine for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given amodiaquine for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given amodiaquine for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given amodiaquine for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given amodiaquine for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2549" name="C_FEVGIVQUIN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: Quinine (antimalarial)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVQUIN (ML13D) indicates whether the child was given the antimalarial drug quinine. A common trade name for quinine is Quinimax.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given quinine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given quinine for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given quinine for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given quinine for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given quinine for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given quinine for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2550" name="C_FEVGIVOTHMAL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: Other antimalarial
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVOTHMAL (ML13H) indicates whether the child was given some other antimalarial drug. The meaning of "other" must be interpreted relative to the specific categories included in a given sample.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given other antimalarial
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given other antimalarial for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given other antimalarial for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given other antimalarial for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given other antimalarial for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given other antimalarial for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2551" name="C_FEVGIVANTIB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: Antibiotics (pill/syrup)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVANTIB (ML13I) indicates whether the child was given an antibiotic pill or syrup.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given antibiotics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given antibiotics for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given antibiotics for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given antibiotics for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given antibiotics for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given antibiotics for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2552" name="C_FEVGIVINJ" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: (Antibiotic) Injection
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVINJ (ML13J) indicates whether the child was given an unspecified injection or an antibiotic injection.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given injection
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given injection for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given injection for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given injection for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given injection for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given injection for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2553" name="C_FEVGIVASPARA" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: Aspirin/paracetamol
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVASPARA indicates whether the child was given aspirin/paracetamol.

The following related variables contain medicines that overlap with this variable:


Child given aspirin for fever/cough is listed as FEVGIVASP (ML13K)
Child given acetaminophen for fever/cough is listed as FEVGIVACET (ML13L)
Child given ibuprofen or acetaminophen is listed as FEVGIVIBACET


A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given aspirin/paracetamol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given aspirin/paracetamol for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given aspirin/paracetamol for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given aspirin/paracetamol for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given aspirin/paracetamol for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given aspirin/paracetamol for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2554" name="C_FEVGIVACET" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: Acetaminophen
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVACET (ML13L) indicates whether the child was given acetaminophen. Other common names for acetaminophen include paracetamol and Panadol (trade name).

The following related variables contain medicines that overlap with this variable:

Child given ibuprofen or acetaminophen is listed as FEVGIVIBACET
Child given aspirin or paracetamol for fever/cough is listed as FEVGIVASPARA


A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given acetaminophen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given acetaminophen for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given acetaminophen for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given acetaminophen for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given acetaminophen for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given acetaminophen for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2555" name="C_FEVGIVIBU" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: Ibuprofen
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVIBU (ML13M) indicates whether the child was given ibuprofen to treat this illness.

The related variable FEVGIVIBACET (ibuprofen/acetaminophen) contains medicines that overlap with this variable.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given ibuprofen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given ibuprofen for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given ibuprofen for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given ibuprofen for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given ibuprofen for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given ibuprofen for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2556" name="C_FEVGIVOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVOTH (ML13X) indicates whether the child was given some other medicine. The meaning of "other" must be interpreted relative to the specific categories included in the sample.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given other medicine for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given other medicine for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given other medicine for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given other medicine for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given other medicine for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2557" name="C_FEVGIVNONE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: Nothing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVNONE (ML13Y) indicates whether the child was given no medicine. 

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, child given nothing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Given nothing for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Given nothing for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Given nothing for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Given nothing for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Given nothing for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2558" name="C_FEVGIVDK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child's fever/cough treated by: Don't know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVDK (ML13Z) indicates whether the child's mother did not know whether or what medicine was given to the child. 

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness. A code of "11" indicates the child was given the drug for a fever, a code of "12" indicates the child was given the drug for a cough, a code of "13" indicates the child was given the drug for a fever or a cough, a code of "14" indicates the child was given the drug for both a fever and a cough, and a code of "15" indicates the child was given the drug for a fever or convulsions. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, don't know if/what child given
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Don't know if/what given for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Don't know if/what given for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Don't know if/what given for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Don't know if/what given for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Don't know if/what given for fever or convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2559" name="C_FEVTREMEDFAC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child taken to medical facility for fever/cough treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever and/or cough in the past 2 weeks, FEVTREMEDFAC (H32Z) indicates whether they were taken to a medical facility for treatment for this illness.

According to the standard DHS recode manuals, a treatment source was considered a medical facility if it fell under the Public Sector or Medical Private Sector headers, except for Pharmacy.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Did not receive any treatment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Received treatment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2560" name="C_FEVTRENONE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Whether no treatment or advice sought for child's fever/cough
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children with a fever and/or cough in the past 2 weeks, FEVTRENONE (H32Y) indicates whether no treatment or advice was sought for this illness. This variable is constructed based on the responses to the standard DHS variables H32A-H32X.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, received treatment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, no treatment or advice sought
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2561" name="C_FEVSP1ST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of days after fever started SP/Fansidar first taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who took SP/Fansidar (an antimalarial drug) for a fever in the past 2 weeks, FEVSP1ST (ML15A) reports how many days after the fever began that the child first started to take SP/Fansidar.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Same day as fever/cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Next day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          2 days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          3(+) days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          4+ days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2562" name="C_FEVSPDUR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Days child took Fansidar for fever/cough
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who took SP/Fansidar for a fever in the past 2 weeks, FEVSPDUR (ML15B) reports how many days the child took SP/Fansidar.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2563" name="C_FEVCHLOR1ST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of days after fever started chloroquine first taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who took chloroquine for a fever in the past 2 weeks, FEVCHLOR1ST (ML16A) reports how many days after the fever began that the child first started to take chloroquine. The drug is generally prescribed to treat malaria.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Same day as fever/cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Next day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          2 days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          3(+) days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          4+ days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2564" name="C_FEVCHLORDUR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Days child took chloroquine for fever/cough
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who took chloroquine for a fever in the past 2 weeks, FEVCHLORDUR (ML16B) reports the number of days the child took chloroquine.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2565" name="C_FEVAMOQ1ST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of days after fever started amodiaquine first taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who took amodiaquine for a fever in the past 2 weeks, FEVAMOQ1ST (ML17A) reports how many days after the fever began that the child first started to take amodiaquine. The drug is generally prescribed to treat malaria.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Same day as fever/cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Next day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          2 days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          3(+) days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          4+ days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2566" name="C_FEVAMOQDUR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Days child took amodiaquine for fever/cough
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who took amodiaquine for a fever in the past 2 weeks, FEVAMOQDUR (ML17B) reports the number of days the child took amodiaquine.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2567" name="C_FEVQUIN1ST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of days after fever started quinine first taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who took quinine for a fever in the past 2 weeks, FEVQUIN1ST (ML18A) reports how many days after the fever began that the child first started to take quinine. This drug is generally prescribed to treat malaria.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Same day as fever/cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Next day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          2 days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          3(+) days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          4+ days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2568" name="C_FEVQUINDUR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Days child took quinine for fever/cough
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who took quinine for a fever in the past 2 weeks, FEVQUINDUR (ML18B) reports how many days the child took quinine.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2569" name="C_FEVOTHMAL1ST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of days after fever started other antimalarial first taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who took some other antimalarial drug for a fever in the past 2 weeks, FEVOTHMAL1ST (ML23A) reports how many days after the fever began that the child first started to take this other antimalarial drug. The meaning of "other" must be interpreted relative to the specific categories included in a particular sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Same day as fever/cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Next day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          2 days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          3(+) days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          4+ days after
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2570" name="C_FEVOTHMALDUR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Days child took other antimalarial for fever/cough
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who took some other antimalarial drug for a fever in the past 2 weeks, FEVOTHMALDUR (ML23B) reports how many days the child took this other antimalarial drug. The meaning of "other" must be interpreted relative to the specific categories included in a particular sample.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child respiratory illness, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2571" name="C_FEVTR1SRC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place first sought treatment for child's fever/cough
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who received treatment for a fever or cough in the past 2 weeks, FEVTR1SRC (H46A) reports where treatment or advice was first sought. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1160
        </catValu>
        <labl>
          Category I hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1170
        </catValu>
        <labl>
          Category II hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1180
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1190
        </catValu>
        <labl>
          Military hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1260
        </catValu>
        <labl>
          Category I health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1270
        </catValu>
        <labl>
          Category II health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1280
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1290
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Sub-center or sub-post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1320
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1330
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1331
        </catValu>
        <labl>
          Field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1332
        </catValu>
        <labl>
          Trained government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1333
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1334
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1335
        </catValu>
        <labl>
          Accredited social health activist (ASHA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1336
        </catValu>
        <labl>
          Vaidya/hakim/homeopath
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1337
        </catValu>
        <labl>
          Family welfare assistant (FWA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1338
        </catValu>
        <labl>
          Female community health volunteer (FCHV)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1340
        </catValu>
        <labl>
          Government outreach clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1341
        </catValu>
        <labl>
          Primary health care outreach clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Government maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1600
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1700
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Camp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          Traditional medical clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2122
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Unqualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Paramedic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2425
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2426
        </catValu>
        <labl>
          Community-based distribution agent (CBD)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Satellite clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          UN Relief and Works Agency facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3140
        </catValu>
        <labl>
          Red Cross
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3150
        </catValu>
        <labl>
          Marie Stopes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3160
        </catValu>
        <labl>
          Population Services International (PSI)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          NGO health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Depot holder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Egyptian FP association
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          Myanmar Medical Association (MMA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Religious pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Shop/market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          General dealer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Supermarket
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5113
        </catValu>
        <labl>
          Tuck shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5130
        </catValu>
        <labl>
          Kiosk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5230
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5231
        </catValu>
        <labl>
          Hakim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5232
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Friend/relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5500
        </catValu>
        <labl>
          Youth drop-in center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5600
        </catValu>
        <labl>
          Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5700
        </catValu>
        <labl>
          Informal channels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5710
        </catValu>
        <labl>
          Drug vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5720
        </catValu>
        <labl>
          Community support group
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5800
        </catValu>
        <labl>
          Home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5900
        </catValu>
        <labl>
          Charity/foundation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2572" name="C_FEVTRPUBHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPUBHOS (H32A) indicates, in response to an open-ended question, whether the child received treatment at a public hospital for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPUBHOS, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at public hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2573" name="C_FEVTRPUBHC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPUBHC (H32B) indicates, in response to an open-ended question, whether the child received treatment at a public health center for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPUBHC, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at public health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2574" name="C_FEVTRPUBHP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Public health post
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPUBHP (H32C) indicates, in response to an open-ended question, whether the child received treatment at a public health post for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPUBHP, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health posts that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at public health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2575" name="C_FEVTRPUBMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Public mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPUBMOB (H32D) indicates, in response to an open-ended question, whether the child received treatment from a public mobile clinic for this illness. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.

IPUMS-DHS users should be careful to distinguish FEVTRPUBMOB from FEVTRPRIVMOB (private mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at public mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2576" name="C_FEVTRPUBFW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Public fieldworker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPUBFW (H32E) indicates, in response to an open-ended question, whether the child received treatment from a public community health worker for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPUBFW, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public field workers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.

IPUMS-DHS users should be careful to distinguish FEVTRPUBFW from FEVTRPRIVFW (private community health worker).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment from public fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2577" name="C_FEVTRPUBOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Other public source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPUBOTH (H32I) indicates, in response to an open-ended question, whether the child received treatment at some "other" public sector source for this illness. The meaning of "other" varies depending on the specific categories included in a given sample. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.

IPUMS-DHS users should be careful to distinguish FEVTRPUBOTH from FEVTRPRIVOTH ("other" under the private medical sector) and FEVTROTHER ("other" that is not described as under either the public or the private medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at other public sector source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2578" name="C_FEVTRPRIVHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Private hospital/clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPRIVHOS (H32J) indicates, in response to an open-ended question, whether the child received treatment at a private hospital or clinic for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPRIVHOS, while preserving the separate responses in country-specific variables.

Additionally, a few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2579" name="C_FEVTRPRIVDRUG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Private pharmacy, drug store, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPRIVDRUG (H32K) indicates, in response to an open-ended question, whether the child received treatment at a private pharmacy, dispensary, or drug store for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPRIVDRUG, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private, formal drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

Additionally, a few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at private pharmacy, drug store, or dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2580" name="C_FEVTRPRIVDR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Private doctor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPRIVDR (H32L) indicates, in response to an open-ended question, whether the child received treatment from a private doctor for this illness. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment from private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2581" name="C_FEVTRPRIVMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Private mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPRIVMOB (H32M) indicates, in response to an open-ended question, whether the child received treatment from a private mobile clinic for this illness. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17 indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.

IPUMS-DHS users should be careful to distinguish FEVTRPRIVMOB from FEVTRPUBMOB (public mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2582" name="C_FEVTRPRIVFW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Private fieldworker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPRIVFW (H32N) indicates, in response to an open-ended question, whether the child received treatment from a private community health worker for this illness. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.

IPUMS-DHS users should be careful to distinguish FEVTRPRIVFW from FEVTRPUBFW (public community health worker).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment from private fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2583" name="C_FEVTRPRIVMIS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Mission/religious hospital, clinic, health center, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPRIVMIS indicates, in response to an open-ended question, whether the child received treatment at a faith-based hospital, clinic, health center, or dispensary for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPRIVMIS, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

Additionally, a few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at faith-based facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2584" name="C_FEVTRPRIVOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Other private sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPRIVOTH (H32R) indicates, in response to an open-ended question, whether the child received treatment at some "other" private sector source for this illness. The meaning of "other" varies depending on the specific categories included in a given sample. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.

IPUMS-DHS users should be careful to distinguish FEVTRPRIVOTH from FEVTRPUBOTH ("other" under the public sector) and FEVTROTHER ("other" that is not described as under either the public or the private medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at other private sector source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2585" name="C_FEVTRSHOP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Shop (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRSHOP (H32S) indicates, in response to an open-ended question, whether the child received treatment at a shop for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRSHOP, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2586" name="C_FEVTRPRIVHL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Traditional healer/practitioner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRPRIVHL (H32T) indicates, in response to an open-ended question, whether the child received treatment from a traditional healer or practitioner for this illness.

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPRIVHL, while preserving the separate responses in country-specific variables.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment from traditional healer/practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2587" name="C_FEVTROTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTROTH (H32X) indicates, in response to an open-ended question, whether the child received treatment at some "other" source for this illness. The meaning of "other" varies depending on the specific categories included in a given sample. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.

IPUMS-DHS users should be careful to distinguish FEVTROTH from FEVTRPRIVOTH ("other" under the private medical sector) and FEVTRPUBOTH ("other" under the public sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at other source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2588" name="C_FEVTRMW3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Mission hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRMW3 indicates, in response to an open-ended question, whether the child received treatment at a religious hospital/clinic for this illness. This response category is country-specific to Malawi.

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

FEVTRMW3 is combined with FEVTRMW4 (religious health center/dispensary) and FEVTRMW5 (religious mobile clinic) in FEVTRPRIVMIS (all faith-based facilities) for the 2000 and 2004 Malawi samples. 

Additionally, FEVTRMW3 is combined with FEVTRMW4 in FEVTRPRIVMIS for the 2010 Malawi sample.

IPUMS-DHS users interested in using FEVTRMW3 are encouraged to review FEVTRPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at mission hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2589" name="C_FEVTRMW4" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of fever/cough treatment: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For young children with a fever or cough in the past 2 weeks, FEVTRMW4 indicates, in response to an open-ended question, whether the child received treatment at a religious health center/dispensary for this illness. This response category is country-specific to Malawi.

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

FEVTRMW4 is combined with FEVTRMW3 (religious hospital/clinic) and FEVTRMW5 (religious mobile clinic) in FEVTRPRIVMIS (all faith-based facilities) for the 2000 and 2004 Malawi samples. 

Additionally, FEVTRMW4 is combined with FEVTRMW3 in FEVTRPRIVMIS for the 2010 Malawi sample.

IPUMS-DHS users interested in using FEVTRMW4 are encouraged to review FEVTRPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, sought treatment at mission health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sought treatment for fever
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sought treatment for cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Sought treatment for fever or cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sought treatment for fever and cough
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sought treatment for cough and convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Sought treatment for convulsions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Sought treatment for fever or rapid/difficult breathing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for respiratory treatment, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2590" name="C_DIARRECENT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child had diarrhea recently
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5, DIARRECENT (H11) indicates whether the child had diarrhea in the past 2 weeks. Question wording differences affect the comparability of DIARRECENT; see Comparability.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, recently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, last 24 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, last 2-14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, last two weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2591" name="C_DIABLOODST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Blood in child's stools during diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age five who had diarrhea in the past 2 weeks, DIABLOODST (H11B) indicates whether there was blood in the child's stools.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2592" name="C_DIAFLUIDUPDN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child fed the same, more, or less fluid with diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAFLUIDUPDN (H38) reports whether the child was given more, less, or the same amount of fluid as usual during the illness. Question wording differences limit the comparability of DIAFLUIDUPDN across samples; see Comparability.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Increase
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Decrease
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Somewhat less
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Much less
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Nothing to drink
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2593" name="C_DIAFOODUPDN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child got same, increased, or decreased food with diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAFOODUPDN (H39) indicates whether the child was given more, less, or the same amount of food during the illness. Question wording differences limit the comparability of DIAFOODUPDN across samples; see Comparability.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Increase
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Decrease
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Somewhat less
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Much less
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Stop entirely
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Never gave food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2594" name="C_DIATREANY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received any treatment for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIATREANY (H21) is a summary variable indicating whether the child received any treatment for diarrhea. Based on standard DHS variables H11 to H21, DIATREANY indicates whether the child was taken to a public or private facility/practitioner for treatment and/or was given some medication (which could include a homemade sugar-salt-water solution) to treat the illness.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2595" name="C_DIATRENONE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Whether no treatment or advice sought for child's diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIATRENONE (H12Y) indicates whether no treatment or advice was sought for the child's diarrhea.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, received treatment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, no treatment or advice sought
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2596" name="C_DIATREMEDFAC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child taken to medical facility for diarrhea treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children with diarrhea in the last two weeks, DIATREMEDFAC (H12Z) indicates whether they were taken to a medical facility for treatment. Based on standard DHS variables H12A to H12X, DIATREMEDFAC indicates whether the child was taken to any of the facilities listed under the "Public Sector" and "Medical Private Sector" headers, except for Pharmacy. The exact sources of treatment included in this grouping may vary across samples; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, treatment at medical facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2597" name="C_DIATREWAITDAYS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of days after diarrhea started advice/treatment was sought
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children with diarrhea in the last 2 weeks, DIATREWAITDAYS (H44B) reports the interval between when the illness first started and when advice or treatment was first sought.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Same day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2598" name="C_DIAGIVANTIB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given antibiotics for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVANTIB (H15A) indicates, in response to an open-ended question, whether the child was given antibiotics to treat this illness.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2599" name="C_DIAGIVANTIM" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given antimotility for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVANTIM (H15A) indicates, in response to an open-ended question, whether the child was given an antimotility drug to treat this illness. Such drugs slow down the movement of the gut, allowing more water to be absorbed back into the body and resulting in firmer stools and fewer symptoms of diarrhea.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2600" name="C_DIAGIVZINC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given zinc for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVZINC (H15E) indicates whether the child was given zinc to treat this illness. 

The World Health Organization reports here [URL omitted from DDI.] that "Zinc supplementation has been found to reduce the duration and severity of diarrheal episodes and the likelihood of subsequent infections for 2-3 months."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2601" name="C_DIAGIVINJANTIB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given antibiotic injection for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVINJANTIB (H15B) indicates, in response to an open-ended question, whether the child was given an antibiotic injection to treat this illness.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2602" name="C_DIAGIVINJNONANTIB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given non-antibiotic injection for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVINJNONANTIB (H15H) indicates, in response to an open-ended question, whether the child was given a non-antibiotic injection to treat this illness.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2603" name="C_DIAGIVINJUNK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given unknown injection for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVINJUNK (H15I) indicates, in response to an open-ended question, whether the child was given an unknown injection to treat this illness.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2604" name="C_DIAGIVIV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given an IV for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVIV (H15C) indicates, in response to an open-ended question, whether the child was given an IV (intravenous fluids) to treat this illness. The IV could have been used to deliver drugs and/or fluids to prevent dehydration and supply calories.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2605" name="C_DIAGIVOTHTYPPIL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given other type of pill (not antibiotic, antimotility, or zinc) for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVOTHTYPPIL (H15F) indicates, in response to an open-ended question, whether the child was given some other type of pill or syrup (not antibiotic, antimotility, or zinc) to treat this illness. The meaning of "other" must be interpreted relative to the specific categories included in a particular sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2606" name="C_DIAGIVPILUNK" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given unknown pill/syrup for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVPILUNK (H15G) indicates, in response to an open-ended question, whether the child was given an unknown type of pill or syrup to treat this illness.

The content of DIAGIVPILUNK is similar to DIAGIVPILSYR (H15), which also reports that the child was given an unspecified (rather than unknown) pill or syrup to treat diarrhea. DIAGIVPILSYR is included in the standard DHS questionnaire starting in phase 1.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2607" name="C_DIAGIVHERB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given home remedy or herbal medicine for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVHERB (H15D) indicates, in response to an open-ended question, whether the child was given home remedies or herbal medicines to treat this illness.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2608" name="C_DIAGIVORS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given oral rehydration for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVORS (H13) indicates whether the child was given a sugar-salt-water solution or oral rehydration solution (ORS) to treat this illness.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, ORS - spontaneous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, ORS - probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2609" name="C_DIAGIVOTHER" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given other treatment for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children with diarrhea in the past 2 weeks, DIAGIVOTHER (H20) indicates whether they were given some "other" treatment for this illness. The meaning of "other" depends on the types of diarrhea treatment specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2610" name="C_DIAGIVNONE" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child given nothing as treatment for diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVNONE (H21A) indicates whether the child was given no treatment for this illness.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, given some treatment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, nothing given as treatment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Diarrhea, treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2611" name="C_DIATR1SRC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Place first sought treatment for child's diarrhea
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young children who received treatment for diarrhea in the past 2 weeks, DIATR1SRC (H44A) reports where treatment or advice was first sought. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1160
        </catValu>
        <labl>
          Category I hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1170
        </catValu>
        <labl>
          Category II hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1180
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1190
        </catValu>
        <labl>
          Military hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1260
        </catValu>
        <labl>
          Category I health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1270
        </catValu>
        <labl>
          Category II health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1280
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1290
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Sub-center or sub-post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1320
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1330
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1331
        </catValu>
        <labl>
          Field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1332
        </catValu>
        <labl>
          Trained government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1333
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1334
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1335
        </catValu>
        <labl>
          Accredited social health activist (ASHA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1336
        </catValu>
        <labl>
          Vaidya/hakim/homeopath
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Government maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1600
        </catValu>
        <labl>
          Government maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1700
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Camp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Traditional medical clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Private polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2122
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Paramedic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2425
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2426
        </catValu>
        <labl>
          Community-based distribution agent (CBD)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Satellite clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          UN Relief and Works Agency facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3140
        </catValu>
        <labl>
          Red Cross
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3150
        </catValu>
        <labl>
          Marie Stopes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3160
        </catValu>
        <labl>
          Population Services International (PSI)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          NGO health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          Egyptian FP Association
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Religious pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Shop/market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5130
        </catValu>
        <labl>
          Kiosk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5220
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5230
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5231
        </catValu>
        <labl>
          Hakim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5232
        </catValu>
        <labl>
          Traditional birth attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Friend/relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5500
        </catValu>
        <labl>
          Youth drop-in center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5600
        </catValu>
        <labl>
          Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5700
        </catValu>
        <labl>
          Informal channels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5710
        </catValu>
        <labl>
          Drug vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2612" name="C_DIATRPRIVHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Private hospital/clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children with diarrhea in the past 2 weeks, DIATRPRIVHOS (H12J) indicates, in response to an open-ended question, whether the child received treatment at a public hospital or clinic. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in DIATRPRIVHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2613" name="C_DIATRPRIVMIS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Religious hospital, health center, dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children with diarrhea in the past 2 weeks, DIATRPRIVMIS indicates, in response to an open-ended question, whether the child received treatment at a faith-based health facility. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in DIATRPRIVMIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2614" name="C_DIATRPRIVDR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Private doctor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children with diarrhea in the past 2 weeks, DIATRPRIVDR (H12L) indicates, in response to an open-ended question, whether the child received treatment from a private doctor. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private doctors that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in DIATPRIVDR.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2615" name="C_DIATRPRIVMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Mobile clinic (private)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children with diarrhea in the past 2 weeks, DIATRPRIVMOB (H12M) indicates, in response to an open-ended question, whether the child received treatment from a private mobile clinic. 

Users should be careful to distinguish this variable from DIATRPUBMOB ("mobile clinic" under the public medical sector category).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2616" name="C_DIATRPRIVFW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Fieldworker (private)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children with diarrhea in the past 2 weeks, DIATRPRIVFW (H12N) indicates, in response to an open-ended question, whether the child received treatment from a private fieldworker. 

Users should be careful to distinguish this variable from DIATRPUBFW (H12E) ("fieldworker" under the public medical sector category).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2617" name="C_DIATRPRIVHL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Traditional Practitioner/Healer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children with diarrhea in the past 2 weeks, DIATRPRIVHL (H12T) indicates, in response to an open-ended question, whether the child received treatment from a traditional healer or practitioner. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of traditional practitioners/healers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in DIATRPRIVHL.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2618" name="C_DIATRPRIVDRUG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Private pharmacy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children with diarrhea in the past 2 weeks, DIATRPRIVDRUG (H12K) indicates, in response to an open-ended question, whether the child received treatment at a private pharmacy, drug store, or dispensary. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in DIATPRIVDRUG.

Users should be careful to distinguish this variable from DIATRPUBDRUG and DIATROTHDRUG, which refer to public drug sources and informal drug sources, respectively.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2619" name="C_DIATRPRIVOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Other private source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children with diarrhea in the past 2 weeks, DIATRPRIVOTH (H12R) indicates, in response to an open-ended question, whether the child received treatment at some "other" private source for this illness. The meaning of "other" depends on the specific response categories included in a given sample. IPUMS-DHS users are encouraged to review the Survey Text tab to better discern the exact meaning of "other" for samples of interest.

Users should be careful to distinguish this variable from DIATRPUBOTH ("other" under the public sector) and DIATROTH ("other" that is not described as under either the private or public sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2620" name="C_DIATRPUBHOS" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children with diarrhea in the past 2 weeks, DIATRPUBHOS (H12A) indicates, in response to an open-ended question, whether the child received treatment at a public hospital for this illness. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2621" name="C_DIATRPUBHC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children with diarrhea in the past 2 weeks, DIATRPUBHC (H12B) indicates, in response to an open-ended question, whether the child received treatment at a public health center for this illness.

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2622" name="C_DIATRPUBHP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Health post (public)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children with diarrhea in the past 2 weeks, DIATRPUBHP (H12C) indicates, in response to an open-ended question, whether the child received treatment at a public health post for this illness. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health posts that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2623" name="C_DIATRPUBMOB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Mobile clinic (public)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children with diarrhea in the past 2 weeks, DIATRPUBMOB (H12D) indicates, in response to an open-ended question, whether the child received treatment from a public mobile clinic for this illness. 

Users should be careful to distinguish this variable from DIATRPRIVMOB ("fieldworker" under the private medical sector category).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2624" name="C_DIATRPUBFW" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Fieldworker (public)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For surviving children with diarrhea in the past 2 weeks, DIATRPUBFW (H12E) indicates, in response to an open-ended question, whether the child received treatment from a public fieldworker for this illness. 

Users should be careful to distinguish this variable from DIATRPRIVFW ("fieldworker" under the private medical sector category).

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public fieldworkers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2625" name="C_DIATRPUBOTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Other public source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children with diarrhea in the past 2 weeks, DIATRPUBOTH (H12I) indicates, in response to an open-ended question, whether the child received treatment at some "other" public source. The meaning of "other" depends on the specific response categories included in a given sample. IPUMS-DHS users are encouraged to review the Survey Text tab to better discern the exact meaning of "other" for samples of interest.

Users should be careful to distinguish this variable from DIATRPRIVOTH ("other" under the private medical sector) and DIATROTH ("other" that is not described as under either the private or public sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2626" name="C_DIATRSHOP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Shop/market
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children with diarrhea in the past 2 weeks, DIATRSHOP (H12S) indicates, in response to an open-ended question, whether the child received treatment from a shop. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in DIATRSHOP.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2627" name="C_DIATROTH" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children with diarrhea in the past 2 weeks, DIATROTH (H12X) indicates, in response to an open-ended question, whether the child received treatment at some "other" source. The meaning of "other" depends on the specific response categories included in a given sample. IPUMS-DHS users are encouraged to review the Survey Text tab to better discern the exact meaning of "other" for samples of interest.

Users should be careful to distinguish this variable from DIATRPUBOTH ("other" under the public medical sector) and DIATRPRIVOTH ("other" under the private medical sector). DIATROTH includes those "other" categories that do not fit into the public or private medical sector.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2628" name="C_DIATRMW1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Mission hospital (private) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children with diarrhea in the past 2 weeks, DIATRMW1 indicates, in response to an open-ended question, whether the child received treatment from a religious hospital. This response category is country-specific to Malawi.
	
Some samples in the "DIATR" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

DIATRMW1 is combined with DIATRMW2 (Religious health center) and DIATRMW3 (Religious mobile clinic) in DIATRPRIVMIS (all faith-based health facilities) for the 2000 and 2004 Malawi samples. Additionally, for the 2010 Malawi sample, DIATRMW1 is combined with DIATRMW2 in DIATRPRIVMIS.

IPUMS-DHS users interested in using DIATRMW1 are encouraged to review DIATRPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2629" name="C_DIATRMW2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Source of diarrhea treatment: Mission health center (private) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children with diarrhea in the past 2 weeks, DIATRMW2 indicates, in response to an open-ended question, whether the child received treatment from a religious health center. This response category is country-specific to Malawi.
	
Some samples in the "DIATR" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

DIATRMW2 is combined with DIATRMW1 (Religious hospital) and DIATRMW3 (Religious mobile clinic) in DIATRPRIVMIS (all faith-based health facilities) for the 2000 and 2004 Malawi samples. Additionally, for the 2010 Malawi sample, DIATRMW2 is combined with DIATRMW1 in DIATRPRIVMIS.

IPUMS-DHS users interested in using DIATRMW2 are encouraged to review DIATRPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Place for diarrhea treatment, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2630" name="C_HEALTHCARDKID" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child has health card
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HEALTHCARDKID (H1) indicates whether the child had a health card and, if so, whether the card was seen by the interviewer. Child health cards were examined to determine whether and, if so, when, the child received specific vaccinations.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No longer has card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, currently has card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, card seen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, card not seen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, card seen from health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child vaccination, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2631" name="C_VACEV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received any vaccination (if no health card)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the 3 to 5 years before the survey, VACEV (H10) indicates whether the young child had received any vaccination. This variable generally relates to children who did not have a health card, the preferred source of documentation on vaccinations. 

If no health card was shown, the interviewer asked whether the child had any vaccinations (documented in VACEV), and, if the answer was yes, asked about specific types of vaccinations.  Note that VACEV is not a summary variable for all questions relating to vaccinations; rather, VACEV serves as a filter variable during the interview for children lacking health cards.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Less than 3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child vaccination, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2632" name="C_VACOPV0" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received oral polio 0 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the 3 to 5 years before the survey, VACOPV0 (H0) indicates whether the child has received an oral polio vaccine (OPV) dose at or near birth (sometimes called "polio 0"). The birth dose of the oral polio vaccine is administered as drops in the mouth. 

The oral polio vaccination primary series usually consists of a birth dose and 3 additional administrations. The complementary variables VACOPV1 (H4), VACOPV2 (H6), and VACOPV3 (H8) report the first, second, and third administrations, respectively.

VACOPV0 uses composite coding, with a first digit of 2 indicating the child has been vaccinated, and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, any information source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, from vac card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, date on vaccination card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, from vac card w/out date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Yes, from mother's report
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2633" name="C_VACOPV0DAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day child received oral polio 0 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV0DAY (H0D) reports the day of the month that children received their birth dose of the oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose birth dose of the oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV0MO (H0M) and VACOPV0YR (H0Y) report the month and the year of the birth dose of the oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the birth dose of the oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV0 (H0).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2634" name="C_VACOPV0MO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month child received oral polio 0 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV0MO (H0M) reports the month that children received their birth dose of the oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose birth dose of the oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV0DAY (H0D) and VACOPV0YR (H0Y) report the day of the month and the year of the birth dose of the oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the birth dose of the oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV0 (H0).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2635" name="C_VACOPV0YR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year child received oral polio 0 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1982" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV0YR (H0Y) reports the year that children received their birth dose of the oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose birth dose of the oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV0DAY (H0D) and VACOPV0MO (H0M) report the day of the month and the month of the birth dose of the oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the birth dose of the oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV0 (H0).]]>
      </txt>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2636" name="C_VACOPV1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received oral polio 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the 3 to 5 years before the survey, VACOPV1 (H4) indicates whether the child has received the first in a series of oral polio vaccines. 

The oral polio vaccination primary series usually consists of a birth dose and 3 additional administrations. The complementary variables VACOPV0 (H0), VACOPV2 (H6), and VACOPV3 (H8) report the birth, second, and third administrations, respectively.

VACOPV1 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, any information source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, from vac card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, date on vaccination card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, from vac card w/out date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Yes, from mother's report
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2637" name="C_VACOPV1DAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day child received oral polio 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV1DAY (H4D) reports the day of the month that children received their first oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV1MO (H4M) and VACOPV1YR (H4Y) report the month and the year of the first oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV1 (H4).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2638" name="C_VACOPV1MO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month child received oral polio 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV1MO (H4M) reports the month that children received their first oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV1DAY (H4D) and VACOPV1YR (H4Y) report the day of the month and the year of the first oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV1 (H4).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2639" name="C_VACOPV1YR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year child received oral polio 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1981" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV1YR (H4Y) reports the year that children received their first oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV1DAY (H4D) and VACOPV1MO (H4M) report the day of the month and the month of the first oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV1 (H4).]]>
      </txt>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2640" name="C_VACOPV2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received oral polio 2 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the 3 to 5 years before the survey, VACOPV2 (H6) indicates whether the child has received the second in a series of oral polio vaccines. 

The oral polio vaccination primary series usually consists of a birth dose and 3 additional administrations. The complementary variables VACOPV0 (H0), VACOPV1 (H4), and VACOPV3 (H8) report the birth, first, and third administrations, respectively.

VACOPV2 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, any information source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, from vac card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, date on vaccination card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, from vac card w/out date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Yes, from mother's report
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2641" name="C_VACOPV2DAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day child received oral polio 2 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV2DAY (H6D) reports the day of the month that children received their second oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV2MO (H6M) and VACOPV2YR (H6Y) report the month and the year of the second oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV2 (H6).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2642" name="C_VACOPV2MO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month child received oral polio 2 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV2MO (H6M) reports the month that children received their second oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV2DAY (H6D) and VACOPV2YR (H6Y) report the day of the month and the year of the second oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV2 (H6).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2643" name="C_VACOPV2YR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year child received oral polio 2 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1982" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV2YR (H6Y) reports the year that children received their second oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV2DAY (H6D) and VACOPV2MO (H6M) report the day of the month and the month of the second oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV2 (H6).]]>
      </txt>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2644" name="C_VACOPV3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received oral polio 3 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the 3 to 5 years before the survey, VACOPV3 (H8) indicates whether the child has received the third in a series of oral polio vaccines. 

The oral polio vaccination primary series usually consists of a birth dose and 3 additional administrations. The complementary variables VACOPV0 (H0), VACOPV1 (H4), and VACOPV2 (H6) report the birth, first, and second administrations, respectively.

VACOPV3 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, any information source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, from vaccination card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, date on vaccination card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, from vac card w/out date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Yes, from mother's report
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2645" name="C_VACOPV3DAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day child received polio 3 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV3DAY (H8D) reports the day of the month that children received their third oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose third oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV3MO (H8M) and VACOPV3YR (H8Y) report the month and the year of the third oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV3 (H8).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2646" name="C_VACOPV3MO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month child received oral polio 3 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV3MO (H8M) reports the month that children received their third oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose third oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV3DAY (H8D) and VACOPV3YR (H8Y) report the day of the month and the year of the third oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV3 (H8).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2647" name="C_VACOPV3YR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year child received oral polio 3 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1982" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACOPV3YR (H8Y) reports the year that children received their third oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose third oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV3DAY (H8D) and VACOPV3MO (H8M) report the day of the month and the month of the third oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV3 (H8).]]>
      </txt>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Polio vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2648" name="C_VACDPTPEN1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received DPT or Pentavalent (DPT-HepB-Hib) 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the 3 to 5 years before the survey, VACDPTPEN1 indicates whether the child has received the first in a series of DPT or pentavalent vaccinations. DPT and pentavalent both vaccinate against diphtheria, pertussis, and tetanus; pentavalent also vaccinates against hepatitis B and Haemophilus influenzae type b. This variable does not distinguish between DPT and pentavalent, so it cannot reveal whether the child was vaccinated against hepatitis B and Haemophilus influenzae type b. 

The DPT/pentavalent vaccination primary series usually consists of 3 administrations, and the complementary variables VACDPTPEN2 and VACDPTPEN3 report the second and third administrations, respectively.

VACDPTPEN1 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, any information source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, from vac card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, date on vaccination card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, from vac card w/out date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Yes, from mother's report
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2649" name="C_VACDPTPEN1DAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day child received DPT or Pentavalent (DPT-HepB-Hib) 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACDPTPEN1DAY reports the day of the month that children received their first DPT/pentavalent vaccination. This information is only available for children born in the 3 to 5 years before the survey, whose first DPT/pentavalent vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPTPEN1MO and VACDPTPEN1YR report the month and the year of the first DPT/pentavalent vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first DPT/pentavalent vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPTPEN1.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2650" name="C_VACDPTPEN1MO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month child received DPT or Pentavalent (DPT-HepB-Hib) 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACDPTPEN1MO reports the month that children received their first DPT/pentavalent vaccination. This information is only available for children born in the 3 to 5 years before the survey, whose first DPT/pentavalent vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPTPEN1DAY and VACDPTPEN1YR report the day of the month and the year of the first DPT/pentavalent vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first DPT/pentavalent vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPTPEN1.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2651" name="C_VACDPTPEN1YR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year child received DPT or Pentavalent (DPT-HepB-Hib) 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="2005" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACDPTPEN1YR reports the year that children received their first DPT/pentavalent vaccination. This information is only available for children born in the 3 to 5 years before the survey, whose first DPT/pentavalent vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPTPEN1DAY and VACDPTPEN1MO report the day of the month and the month of the first DPT/pentavalent vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first DPT/pentavalent vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPTPEN1.]]>
      </txt>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2652" name="C_VACDPTPEN2" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received DPT or Pentavalent (DPT-HepB-Hib) 2 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the 3 to 5 years before the survey, VACDPTPEN2 indicates whether the child has received the second in a series of DPT or pentavalent vaccinations. DPT and pentavalent both vaccinate against diphtheria, pertussis, and tetanus; pentavalent also vaccinates against hepatitis B and Haemophilus influenzae type b. This variable does not distinguish between DPT and pentavalent, so it cannot reveal whether the child was vaccinated against hepatitis B and Haemophilus influenzae type b.

The DPT/pentavalent vaccination primary series usually consists of 3 administrations, and the complementary variables VACDPTPEN1 and VACDPTPEN3 report the first and third administrations, respectively.

VACDPTPEN2 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, any information source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, from vac card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, date on vaccination card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, from vac card w/out date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Yes, from mother's report
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2653" name="C_VACDPTPEN2DAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day child received DPT or Pentavalent (DPT-HepB-Hib) 2 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACDPTPEN2DAY reports the day of the month that children received their second DPT/pentavalent vaccination. This information is only available for children born in the 3 to 5 years before the survey, whose second DPT/pentavalent vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPTPEN2MO and VACDPTPEN2YR report the month and the year of the second DPT/pentavalent vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second DPT/pentavalent vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPTPEN2.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2654" name="C_VACDPTPEN2MO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month child received DPT or Pentavalent (DPT-HepB-Hib) 2 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACDPTPEN2MO reports the month that children received their second DPT/pentavalent vaccination. This information is only available for children born in the 3 to 5 years before the survey, whose second DPT/pentavalent vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPTPEN2DAY and VACDPTPEN2YR report the day of the month and the year of the second DPT/pentavalent vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second DPT/pentavalent vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPTPEN2.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2655" name="C_VACDPTPEN2YR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year child received DPT or Pentavalent (DPT-HepB-Hib) 2 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="2005" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACDPTPEN2YR reports the year that children received their second DPT/pentavalent vaccination. This information is only available for children born in the 3 to 5 years before the survey, whose second DPT/pentavalent vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPTPEN2DAY and VACDPTPEN2MO report the day of the month and the month of the second DPT/pentavalent vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second DPT/pentavalent vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPTPEN2.]]>
      </txt>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2656" name="C_VACDPTPEN3" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received DPT or Pentavalent (DPT-HepB-Hib) 3 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the 3 to 5 years before the survey, VACDPTPEN3 indicates whether the child has received the third in a series of DPT or pentavalent vaccinations. DPT and pentavalent both vaccinate against diphtheria, pertussis, and tetanus; pentavalent also vaccinates against hepatitis B and Haemophilus influenzae type b. This variable does not distinguish between DPT and pentavalent, so it cannot reveal whether the child was vaccinated against hepatitis B and Haemophilus influenzae type b.

The DPT/pentavalent vaccination primary series usually consists of 3 administrations, and the complementary variables VACDPTPEN1 and VACDPTPEN2 report the first and second administrations, respectively.

VACDPTPEN3 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, any information source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, from vac card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, date on vaccination card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, from vac card w/out date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Yes, from mother's report
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2657" name="C_VACDPTPEN3DAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day child received DPT or Pentavalent (DPT-HepB-Hib) 3 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACDPTPEN3DAY reports the day of the month that children received their third DPT/pentavalent vaccination. This information is only available for children born in the 3 to 5 years before the survey, whose third DPT/pentavalent vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPTPEN3MO and VACDPTPEN3YR report the month and the year of the third DPT/pentavalent vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third DPT/pentavalent vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPTPEN3.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2658" name="C_VACDPTPEN3MO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month child received DPT or Pentavalent (DPT-HepB-Hib) 3 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACDPTPEN3MO reports the month that children received their third DPT/pentavalent vaccination. This information is only available for children born in the 3 to 5 years before the survey, whose third DPT/pentavalent vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPTPEN3DAY and VACDPTPEN3YR report the day of the month and the year of the third DPT/pentavalent vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third DPT/pentavalent vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPTPEN3.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2659" name="C_VACDPTPEN3YR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year child received DPT or Pentavalent (DPT-HepB-Hib) 3 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="2005" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACDPTPEN3YR reports the year that children received their third DPT/pentavalent vaccination. This information is only available for children born in the 3 to 5 years before the survey, whose third DPT/pentavalent vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPTPEN3DAY and VACDPTPEN3MO report the day of the month and the month of the third DPT/pentavalent vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third DPT/pentavalent vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPTPEN3.]]>
      </txt>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        DPT-HB-Hib vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2660" name="C_VACMEAS1" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received measles (or measles containing) 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the 3 to 5 years before the survey, VACMEAS1 (H9) indicates whether the child has received the first in a series of measles (or measles-containing) vaccinations.

The measles vaccination primary series usually consists of either 1 or 2 administrations, and the complementary variable VACMEAS2 (H9A) reports the second administration.

VACMEAS1 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, any information source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, from vac card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, date on vaccination card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, from vac card w/out date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Yes, from mother's report
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Measles vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2661" name="C_VACMEAS1DAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day child received measles 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACMEAS1DAY (H9D) reports the day of the month that children received their first measles or measles-containing vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first measles vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACMEAS1MO (H9M) and VACMEAS1YR (H9Y) report the month and the year of the first measles vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first measles vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACMEAS1 (H9).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Measles vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2662" name="C_VACMEAS1MO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month child received measles 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACMEAS1MO (H9M) reports the month that children received their first measles or measles-containing vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first measles vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACMEAS1DAY (H9D) and VACMEAS1YR (H9Y) report the day of the month and the year of the first measles vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first measles vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACMEAS1 (H9).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Measles vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2663" name="C_VACMEAS1YR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year child received measles 1 vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1982" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACMEAS1YR (H9Y) reports the year that children received their first measles or measles-containing vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first measles vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACMEAS1DAY (H9D) and VACMEAS1MO (H9M) report the day of the month and the month of the first measles vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first measles vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACMEAS1 (H9).]]>
      </txt>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Measles vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2664" name="C_VACVITALAST" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received vitamin A vaccination (most recent)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the 3 to 5 years before the survey, VACVITALAST (H33) indicates whether the child has received the most recent, or most recent reported, dose of vitamin A. 

Vitamin A vaccinations are typically made up of supplements given every 6 months. The complementary variable VACVITA2 (H40) reports the second most recent, or second most recent reported, administration.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, vacc date on card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes, reported by mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yes, vacc marked on card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Vitamin A vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2665" name="C_VACVITALASTDAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day child received vitamin A vaccination (most recent)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACVITALASTDAY (H33D) reports the day of the month that children received their most recent, or most recent reported, vitamin A vaccination. This information is only available for children born in the 3 to 5 years before the survey whose most recent vitamin A vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACVITALASTMO (H33M) and VACVITALASTYR (H33Y) report the month and the year of the most recent vitamin A vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the most recent vitamin A vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACVITALAST (H33).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Vitamin A vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2666" name="C_VACVITALASTMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month child received vitamin A vaccination (most recent)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACVITALASTMO (H33M) reports the month that children received their most recent, or most recent reported, vitamin A vaccination. This information is only available for children born in the 3 to 5 years before the survey whose most recent vitamin A vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACVITALASTDAY (H33D) and VACVITALASTYR (H33Y) report the day of the month and the year of the most recent vitamin A vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the most recent vitamin A vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACVITALAST (H33).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Vitamin A vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2667" name="C_VACVITALASTYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year child received vitamin A vaccination (most recent)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1992" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACVITALASTYR (H33Y) reports the year that children received their most recent, or most recent reported, vitamin A vaccination. This information is only available for children born in the 3 to 5 years before the survey whose most recent vitamin A vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACVITALASTDAY (H33D) and VACVITALASTMO (H33M) report the day of the month and the month of the most recent vitamin A vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the most recent vitamin A vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACVITALAST (H33).]]>
      </txt>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Vitamin A vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2668" name="C_VACBCG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Child received BCG (TB) vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For children born in the 3 to 5 years before the survey, VACBCG (H2) indicates whether the young child had received the BCG vaccination against tuberculosis. The BCG vaccination is typically given as in injection in the arm or shoulder, and it usually causes a scar.

VACBCG uses composite coding, with a first digit of 2 indicating the child had been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, any information source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, from vac card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, date on vaccination card
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, from vac card w/out date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Yes, from mother's report
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2669" name="C_VACBCGDAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Day child received BCG (TB) vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACBCGDAY (H2D) reports the day of the month that children received the BCG vaccination. This information is only available for children born in the 3 to 5 years before the survey whose BCG vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACBCGMO (H2M) and VACBCGYR (H2Y) report the month and the year of the BCG vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the BCG vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACBCG (H2).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2670" name="C_VACBCGMO" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Month child received BCG (TB) vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACBCGDAY (H2D) reports the month that children received the BCG vaccination. This information is only available for children born in the 3 to 5 years before the survey whose BCG vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACBCGDAY (H2D) and VACBCGYR (H2Y) report the day of the month and the year of the BCG vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the BCG vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACBCG (H2).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2671" name="C_VACBCGYR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Year child received BCG (TB) vaccination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1981" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[VACBCGYR (H2Y) reports the year that children received the BCG vaccination. This information is only available for children born in the 3 to 5 years before the survey whose BCG vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACBCGDAY (H2D) and VACBCGMO (H2M) report the day of the month and the month of the BCG vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the BCG vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACBCG (H2).]]>
      </txt>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Other vaccinations Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2672" name="C_VACCAMP2YR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Received vaccination in last 2 years during campaign
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        VACCAMP2YR (H35) indicates whether the child received any vaccination as part of a vaccination campaign in the past 2 years.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No vaccination in last 2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Vaccination campaigns Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2673" name="C_SOIL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Soil type
      </labl>
      <valrng>
        <range UNITS="REAL" min="-9" max="3004"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOIL reports the predominant soil type within a 5 kilometer circular buffer around each DHS cluster location. The soil attributes reported in SOIL are: soil class (e.g., Leptosols) and soil type within that class (e.g., Lithic Leptosols). SOIL is available for every IPUMS-DHS sample with GPS data.

There are 118 different soil types in the world. Please see the User Note on Using IPUMS-DHS Contextual Variables: Soil [URL omitted from DDI.] or the list of soils and the 4-digit codes [URL omitted from DDI.] (e.g., 1703) consisting of the 2-digit soil class code followed by the 2-digit soil type code. The User note also describes the data source and methodology used to calculate this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols (Alumic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols (Ferric or Humic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Plinthic Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Vetic Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Haplic (undetermined) Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Histic Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Umbric Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Cutanic Alisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Haplic (undetermined) Alisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Aluandic Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Haplic (undetermined) Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Vitric Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Albic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Ferralic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Haplic (undetermined) Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Haplic (undetermined) Arenosols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Hypoluvic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          Protic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Haplic (undetermined) Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Haplic (undetermined) Calcisols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Luvic Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Petric Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Endogleyic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Ferralic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          707
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Humic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          709
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Leptic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Vertic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Calcic Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Haplic (undetermined) Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Luvic Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Haplic (undetermined) Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Turbic Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Vitric Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <labl>
          Petric Durisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Acric Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols (Rhodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols (Xanthic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1105
        </catValu>
        <labl>
          Umbric Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Arenic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Calcic Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Mollic Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Umbric Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Calcic Gypsisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Haplic (undetermined) Gypsisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1501
        </catValu>
        <labl>
          Calcic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1502
        </catValu>
        <labl>
          Cryic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1503
        </catValu>
        <labl>
          Fibric Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1504
        </catValu>
        <labl>
          Hemic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1505
        </catValu>
        <labl>
          Sapric Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1601
        </catValu>
        <labl>
          Calcic Kastanozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1602
        </catValu>
        <labl>
          Haplic (undetermined) Kastanozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Haplic (undetermined) Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Haplic (undetermined) Leptosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          Lithic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          Mollic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1705
        </catValu>
        <labl>
          Rendzic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols (Ferric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Albic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Calcic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Gleyic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols (Ferric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          Leptic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          Stagnic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1909
        </catValu>
        <labl>
          Vertic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Alic Nitisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          Haplic (undetermined) Nitisols (Rhodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Haplic (undetermined) Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Leptic Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Luvic Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Endogleyic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Haplic (undetermined) Planosols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Haplic (undetermined) Planosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Luvic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Solodic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Acric Plinthosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Lixic Plinthosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Gleyic Podzols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Haplic (undetermined) Podzols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Aric Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Calcaric Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Leptic Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2601
        </catValu>
        <labl>
          Gypsic Solonchaks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2602
        </catValu>
        <labl>
          Haplic (undetermined) Solonchaks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2603
        </catValu>
        <labl>
          Haplic (undetermined) Solonchaks (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2701
        </catValu>
        <labl>
          Calcic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2702
        </catValu>
        <labl>
          Gleyic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2703
        </catValu>
        <labl>
          Haplic (undetermined) Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2704
        </catValu>
        <labl>
          Mollic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Luvic Stagnosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Haplic (undetermined) Umbrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Leptic Umbrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3001
        </catValu>
        <labl>
          Calcic Vertisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3002
        </catValu>
        <labl>
          Haplic (undetermined) Vertisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3003
        </catValu>
        <labl>
          Haplic (undetermined) Vertisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3004
        </catValu>
        <labl>
          Mollic Vertisols
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2674" name="C_ECOREGION" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Ecoregion of household
      </labl>
      <valrng>
        <range UNITS="REAL" min="-9999" max="81333"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ECOREGION reports the predominant terrestrial ecoregion within a 5 kilometer circular buffer around each DHS cluster location. ECOREGION reports the biogeographic region (e.g., Afrotropic), the habitat type (e.g., tropical and subtropical grasslands, savannas, and shrublands), and the ecoregion (e.g., East Sudanian savanna) that are associated with each cluster location. ECOREGION is available for every IPUMS-DHS sample with GPS data. 

There are 825 terrestrial ecoregions in the world. The 5-digit codes in ECOREGION (e.g., AT0705) include a 1-digit realm code, followed by a 2-digit biome code and a 2-digit ecoregion number.  For the full list of codes and their meaning, see the User Note on Using IPUMS-DHS Contextual Variables: Ecoregions [URL omitted from DDI.]. The User Note also describes the data sources and the methodology used to create this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -9999
        </catValu>
        <labl>
          Rock and Ice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          -9998
        </catValu>
        <labl>
          Lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Banda Sea Islands moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Buru rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10106
        </catValu>
        <labl>
          Halmahera rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10123
        </catValu>
        <labl>
          Sulawesi lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10124
        </catValu>
        <labl>
          Sulawesi montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10201
        </catValu>
        <labl>
          Lesser Sundas deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10203
        </catValu>
        <labl>
          Sumba deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10204
        </catValu>
        <labl>
          Timor and Wetar deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30101
        </catValu>
        <labl>
          Albertine Rift montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30102
        </catValu>
        <labl>
          Atlantic Equatorial coastal forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30103
        </catValu>
        <labl>
          Cameroonian Highlands forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30104
        </catValu>
        <labl>
          Central Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30105
        </catValu>
        <labl>
          Comoros forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30106
        </catValu>
        <labl>
          Cross-Niger transition forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30107
        </catValu>
        <labl>
          Cross-Sanaga-Bioko coastal forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30108
        </catValu>
        <labl>
          East African montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30109
        </catValu>
        <labl>
          Eastern Arc forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30110
        </catValu>
        <labl>
          Eastern Congolian swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30111
        </catValu>
        <labl>
          Eastern Guinean forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30112
        </catValu>
        <labl>
          Ethiopian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30113
        </catValu>
        <labl>
          Granitic Seychelles forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30114
        </catValu>
        <labl>
          Guinean montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30115
        </catValu>
        <labl>
          Knysna-Amatole montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30116
        </catValu>
        <labl>
          KwaZulu-Cape coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30117
        </catValu>
        <labl>
          Madagascar lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30118
        </catValu>
        <labl>
          Madagascar subhumid forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30119
        </catValu>
        <labl>
          Maputaland coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30121
        </catValu>
        <labl>
          Mount Cameroon and Bioko montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30122
        </catValu>
        <labl>
          Niger Delta swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30123
        </catValu>
        <labl>
          Nigerian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30124
        </catValu>
        <labl>
          Northeastern Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30125
        </catValu>
        <labl>
          Northern Zanzibar-Inhambane coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30126
        </catValu>
        <labl>
          Northwestern Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30127
        </catValu>
        <labl>
          Sao Tome, Principe and Annobon moist lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30128
        </catValu>
        <labl>
          Southern Zanzibar-Inhambane coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30129
        </catValu>
        <labl>
          Western Congolian swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30130
        </catValu>
        <labl>
          Western Guinean lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30202
        </catValu>
        <labl>
          Madagascar dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30203
        </catValu>
        <labl>
          Zambezian Cryptosepalum dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30701
        </catValu>
        <labl>
          Angolan Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30702
        </catValu>
        <labl>
          Angolan Mopane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30704
        </catValu>
        <labl>
          Central Zambezian Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30705
        </catValu>
        <labl>
          East Sudanian savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30706
        </catValu>
        <labl>
          Eastern Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30707
        </catValu>
        <labl>
          Guinean forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30708
        </catValu>
        <labl>
          Itigi-Sumbu thicket
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30709
        </catValu>
        <labl>
          Kalahari Acacia-Baikiaea woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30710
        </catValu>
        <labl>
          Mandara Plateau mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30711
        </catValu>
        <labl>
          Northern Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30712
        </catValu>
        <labl>
          Northern Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30713
        </catValu>
        <labl>
          Sahelian Acacia savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30714
        </catValu>
        <labl>
          Serengeti volcanic grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30715
        </catValu>
        <labl>
          Somali Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30716
        </catValu>
        <labl>
          Southern Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30717
        </catValu>
        <labl>
          Southern Africa bushveld
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30718
        </catValu>
        <labl>
          Southern Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30719
        </catValu>
        <labl>
          Southern Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30721
        </catValu>
        <labl>
          Victoria Basin forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30722
        </catValu>
        <labl>
          West Sudanian savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30723
        </catValu>
        <labl>
          Western Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30724
        </catValu>
        <labl>
          Western Zambezian grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30725
        </catValu>
        <labl>
          Zambezian and Mopane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30726
        </catValu>
        <labl>
          Zambezian Baikiaea woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30901
        </catValu>
        <labl>
          East African halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30902
        </catValu>
        <labl>
          Etosha Pan halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30903
        </catValu>
        <labl>
          Inner Niger Delta flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30904
        </catValu>
        <labl>
          Lake Chad flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30905
        </catValu>
        <labl>
          Saharan flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30906
        </catValu>
        <labl>
          Zambezian coastal flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30907
        </catValu>
        <labl>
          Zambezian flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30908
        </catValu>
        <labl>
          Zambezian halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31001
        </catValu>
        <labl>
          Angolan montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31002
        </catValu>
        <labl>
          Angolan scarp savanna and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31003
        </catValu>
        <labl>
          Drakensberg alti-montane grasslands and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31004
        </catValu>
        <labl>
          Drakensberg montane grasslands, woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31005
        </catValu>
        <labl>
          East African montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31006
        </catValu>
        <labl>
          Eastern Zimbabwe montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31007
        </catValu>
        <labl>
          Ethiopian montane grasslands and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31008
        </catValu>
        <labl>
          Ethiopian montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31009
        </catValu>
        <labl>
          Highveld grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31010
        </catValu>
        <labl>
          Jos Plateau forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31011
        </catValu>
        <labl>
          Madagascar ericoid thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31012
        </catValu>
        <labl>
          Maputaland-Pondoland bushland and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31013
        </catValu>
        <labl>
          Rwenzori-Virunga montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31014
        </catValu>
        <labl>
          South Malawi montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31015
        </catValu>
        <labl>
          Southern Rift montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31203
        </catValu>
        <labl>
          Montane fynbos and renosterveld
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31301
        </catValu>
        <labl>
          Aldabra Island xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31302
        </catValu>
        <labl>
          Arabian Peninsula coastal fog desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31304
        </catValu>
        <labl>
          Eritrean coastal desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31305
        </catValu>
        <labl>
          Ethiopian xeric grasslands and shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31308
        </catValu>
        <labl>
          Ile Europa and Bassas da India xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31309
        </catValu>
        <labl>
          Kalahari xeric savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31310
        </catValu>
        <labl>
          Kaokoveld desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31311
        </catValu>
        <labl>
          Madagascar spiny thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31312
        </catValu>
        <labl>
          Madagascar succulent woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31313
        </catValu>
        <labl>
          Masai xeric grasslands and shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31314
        </catValu>
        <labl>
          Nama Karoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31315
        </catValu>
        <labl>
          Namib desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31316
        </catValu>
        <labl>
          Namibian savanna woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31319
        </catValu>
        <labl>
          Somali montane xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31320
        </catValu>
        <labl>
          Southwestern Arabian foothills savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31322
        </catValu>
        <labl>
          Succulent Karoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31401
        </catValu>
        <labl>
          Central African mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31402
        </catValu>
        <labl>
          East African mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31403
        </catValu>
        <labl>
          Guinean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31404
        </catValu>
        <labl>
          Madagascar mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31405
        </catValu>
        <labl>
          Southern Africa mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40102
        </catValu>
        <labl>
          Borneo lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40103
        </catValu>
        <labl>
          Borneo montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40104
        </catValu>
        <labl>
          Borneo peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40105
        </catValu>
        <labl>
          Brahmaputra Valley semi-evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40106
        </catValu>
        <labl>
          Cardamom Mountains rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40107
        </catValu>
        <labl>
          Chao Phraya freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40108
        </catValu>
        <labl>
          Chao Phraya lowland moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40109
        </catValu>
        <labl>
          Chin Hills-Arakan Yoma montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40111
        </catValu>
        <labl>
          Eastern highlands moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40112
        </catValu>
        <labl>
          Eastern Java-Bali montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40113
        </catValu>
        <labl>
          Eastern Java-Bali rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40114
        </catValu>
        <labl>
          Greater Negros-Panay rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40115
        </catValu>
        <labl>
          Himalayan subtropical broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40117
        </catValu>
        <labl>
          Irrawaddy moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40120
        </catValu>
        <labl>
          Lower Gangetic Plains moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40121
        </catValu>
        <labl>
          Luang Prabang montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40122
        </catValu>
        <labl>
          Luzon montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40123
        </catValu>
        <labl>
          Luzon rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40125
        </catValu>
        <labl>
          Maldives-Lakshadweep-Chagos Archipelago tropical moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40126
        </catValu>
        <labl>
          Meghalaya subtropical forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40127
        </catValu>
        <labl>
          Mentawai Islands rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40128
        </catValu>
        <labl>
          Mindanao montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40129
        </catValu>
        <labl>
          Mindanao-Eastern Visayas rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40130
        </catValu>
        <labl>
          Mindoro rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40131
        </catValu>
        <labl>
          Mizoram-Manipur-Kachin rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40132
        </catValu>
        <labl>
          Myanmar coastal rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40136
        </catValu>
        <labl>
          Northern Annamites rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40138
        </catValu>
        <labl>
          Northern Khorat Plateau moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40139
        </catValu>
        <labl>
          Northern Thailand-Laos moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40141
        </catValu>
        <labl>
          Northern Vietnam lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40142
        </catValu>
        <labl>
          Orissa semi-evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40143
        </catValu>
        <labl>
          Palawan rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40144
        </catValu>
        <labl>
          Peninsular Malaysian montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40145
        </catValu>
        <labl>
          Peninsular Malaysian peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40146
        </catValu>
        <labl>
          Peninsular Malaysian rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40148
        </catValu>
        <labl>
          South China Sea Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40149
        </catValu>
        <labl>
          South China-Vietnam subtropical evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40152
        </catValu>
        <labl>
          Southern Annamites montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40153
        </catValu>
        <labl>
          Southwest Borneo freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40156
        </catValu>
        <labl>
          Sulu Archipelago rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40157
        </catValu>
        <labl>
          Sumatran freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40158
        </catValu>
        <labl>
          Sumatran lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40159
        </catValu>
        <labl>
          Sumatran montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40160
        </catValu>
        <labl>
          Sumatran peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40161
        </catValu>
        <labl>
          Sundaland heath forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40162
        </catValu>
        <labl>
          Sundarbans freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40163
        </catValu>
        <labl>
          Tenasserim-South Thailand semi-evergreen rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40164
        </catValu>
        <labl>
          Tonle Sap freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40165
        </catValu>
        <labl>
          Tonle Sap-Mekong peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40166
        </catValu>
        <labl>
          Upper Gangetic Plains moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40167
        </catValu>
        <labl>
          Western Java montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40168
        </catValu>
        <labl>
          Western Java rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40202
        </catValu>
        <labl>
          Central Indochina dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40203
        </catValu>
        <labl>
          Chhota-Nagpur dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40205
        </catValu>
        <labl>
          Irrawaddy dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40206
        </catValu>
        <labl>
          Khathiar-Gir dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40207
        </catValu>
        <labl>
          Narmada Valley dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40210
        </catValu>
        <labl>
          Southeastern Indochina dry evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40211
        </catValu>
        <labl>
          Southern Vietnam lowland dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40301
        </catValu>
        <labl>
          Himalayan subtropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40302
        </catValu>
        <labl>
          Luzon tropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40303
        </catValu>
        <labl>
          Northeast India-Myanmar pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40304
        </catValu>
        <labl>
          Sumatran tropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40401
        </catValu>
        <labl>
          Eastern Himalayan broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40403
        </catValu>
        <labl>
          Western Himalayan broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40501
        </catValu>
        <labl>
          Eastern Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40502
        </catValu>
        <labl>
          Western Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40701
        </catValu>
        <labl>
          Terai-Duar savanna and grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40901
        </catValu>
        <labl>
          Rann of Kutch seasonal salt marsh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41001
        </catValu>
        <labl>
          Kinabalu montane alpine meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41302
        </catValu>
        <labl>
          Indus Valley desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41303
        </catValu>
        <labl>
          Northwestern thorn scrub forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41304
        </catValu>
        <labl>
          Thar desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41402
        </catValu>
        <labl>
          Indochina mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41403
        </catValu>
        <labl>
          Indus River Delta-Arabian Sea mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41404
        </catValu>
        <labl>
          Myanmar Coast mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41405
        </catValu>
        <labl>
          Sunda Shelf mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41406
        </catValu>
        <labl>
          Sundarbans mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60105
        </catValu>
        <labl>
          Bolivian Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60107
        </catValu>
        <labl>
          Caqueta moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60108
        </catValu>
        <labl>
          Catatumbo moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60109
        </catValu>
        <labl>
          Cauca Valley montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60110
        </catValu>
        <labl>
          Cayos Miskitos-San Andrés and Providencia moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60111
        </catValu>
        <labl>
          Central American Atlantic moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60112
        </catValu>
        <labl>
          Central American montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60113
        </catValu>
        <labl>
          Chiapas montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60115
        </catValu>
        <labl>
          Chocó-Darién moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60117
        </catValu>
        <labl>
          Cordillera La Costa montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60118
        </catValu>
        <labl>
          Cordillera Oriental montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60119
        </catValu>
        <labl>
          Costa Rican seasonal moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60120
        </catValu>
        <labl>
          Cuban moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60121
        </catValu>
        <labl>
          Eastern Cordillera real montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60122
        </catValu>
        <labl>
          Eastern Panamanian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60124
        </catValu>
        <labl>
          Guianan Highlands moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60125
        </catValu>
        <labl>
          Guianan moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60127
        </catValu>
        <labl>
          Hispaniolan moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60128
        </catValu>
        <labl>
          Iquitos varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60129
        </catValu>
        <labl>
          Isthmian-Atlantic moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60130
        </catValu>
        <labl>
          Isthmian-Pacific moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60132
        </catValu>
        <labl>
          Japurá-Solimoes-Negro moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60133
        </catValu>
        <labl>
          Juruá-Purus moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60135
        </catValu>
        <labl>
          Madeira-Tapajós moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60136
        </catValu>
        <labl>
          Magdalena Valley montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60137
        </catValu>
        <labl>
          Magdalena-Urabá moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60141
        </catValu>
        <labl>
          Monte Alegre varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60142
        </catValu>
        <labl>
          Napo moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60143
        </catValu>
        <labl>
          Negro-Branco moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60145
        </catValu>
        <labl>
          Northwestern Andean montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60147
        </catValu>
        <labl>
          Orinoco Delta swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60149
        </catValu>
        <labl>
          Guianan freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60153
        </catValu>
        <labl>
          Peruvian Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60154
        </catValu>
        <labl>
          Petén-Veracruz moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60156
        </catValu>
        <labl>
          Purus varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60157
        </catValu>
        <labl>
          Purus-Madeira moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60158
        </catValu>
        <labl>
          Rio Negro campinarana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60159
        </catValu>
        <labl>
          Santa Marta montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60162
        </catValu>
        <labl>
          Sierra Madre de Chiapas moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60163
        </catValu>
        <labl>
          Solimões-Japurá moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60165
        </catValu>
        <labl>
          Southern Andean Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60166
        </catValu>
        <labl>
          Southwest Amazon moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60167
        </catValu>
        <labl>
          Talamancan montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60169
        </catValu>
        <labl>
          Pantepui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60171
        </catValu>
        <labl>
          Trinidad and Tobago moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60173
        </catValu>
        <labl>
          Uatuma-Trombetas moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60174
        </catValu>
        <labl>
          Ucayali moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60175
        </catValu>
        <labl>
          Venezuelan Andes montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60178
        </catValu>
        <labl>
          Western Ecuador moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60181
        </catValu>
        <labl>
          Yucatán moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60182
        </catValu>
        <labl>
          Guianan piedmont and lowland moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60201
        </catValu>
        <labl>
          Apure-Villavicencio dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60206
        </catValu>
        <labl>
          Bolivian montane dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60207
        </catValu>
        <labl>
          Cauca Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60209
        </catValu>
        <labl>
          Central American dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60210
        </catValu>
        <labl>
          Dry Chaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60211
        </catValu>
        <labl>
          Chiapas Depression dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60212
        </catValu>
        <labl>
          Chiquitano dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60213
        </catValu>
        <labl>
          Cuban dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60214
        </catValu>
        <labl>
          Ecuadorian dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60215
        </catValu>
        <labl>
          Hispaniolan dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60219
        </catValu>
        <labl>
          Lara-Falcón dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60220
        </catValu>
        <labl>
          Lesser Antillean dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60221
        </catValu>
        <labl>
          Magdalena Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60222
        </catValu>
        <labl>
          Maracaibo dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60223
        </catValu>
        <labl>
          Marañón dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60224
        </catValu>
        <labl>
          Panamanian dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60225
        </catValu>
        <labl>
          Patía Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60226
        </catValu>
        <labl>
          Puerto Rican dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60229
        </catValu>
        <labl>
          Sinú Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60230
        </catValu>
        <labl>
          Southern Pacific dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60232
        </catValu>
        <labl>
          Tumbes-Piura dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60301
        </catValu>
        <labl>
          Bahamian pine mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60302
        </catValu>
        <labl>
          Belizian pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60303
        </catValu>
        <labl>
          Central American pine-oak forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60304
        </catValu>
        <labl>
          Cuban pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60305
        </catValu>
        <labl>
          Hispaniolan pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60306
        </catValu>
        <labl>
          Miskito pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60702
        </catValu>
        <labl>
          Beni savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60704
        </catValu>
        <labl>
          Cerrado
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60707
        </catValu>
        <labl>
          Guianan savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60709
        </catValu>
        <labl>
          Llanos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60903
        </catValu>
        <labl>
          Enriquillo wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60905
        </catValu>
        <labl>
          Guayaquil flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60906
        </catValu>
        <labl>
          Orinoco wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60907
        </catValu>
        <labl>
          Pantanal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61001
        </catValu>
        <labl>
          Central Andean dry puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61002
        </catValu>
        <labl>
          Central Andean puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61003
        </catValu>
        <labl>
          Central Andean wet puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61004
        </catValu>
        <labl>
          Cordillera Central páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61005
        </catValu>
        <labl>
          Cordillera de Merida páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61006
        </catValu>
        <labl>
          Northern Andean páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61007
        </catValu>
        <labl>
          Santa Marta páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61010
        </catValu>
        <labl>
          High Monte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61303
        </catValu>
        <labl>
          Atacama desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61305
        </catValu>
        <labl>
          Caribbean shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61306
        </catValu>
        <labl>
          Cuban cactus scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61308
        </catValu>
        <labl>
          Guajira-Barranquilla xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61309
        </catValu>
        <labl>
          La Costa xeric shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61312
        </catValu>
        <labl>
          Motagua Valley thornscrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61313
        </catValu>
        <labl>
          Paraguana xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61315
        </catValu>
        <labl>
          Sechura desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61401
        </catValu>
        <labl>
          Amazon-Orinoco-Southern Caribbean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61402
        </catValu>
        <labl>
          Bahamian-Antillean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61403
        </catValu>
        <labl>
          Mesoamerican Gulf-Caribbean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61405
        </catValu>
        <labl>
          South American Pacific mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61407
        </catValu>
        <labl>
          Southern Mesoamerican Pacific mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80404
        </catValu>
        <labl>
          Balkan mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80407
        </catValu>
        <labl>
          Caspian Hyrcanian mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80408
        </catValu>
        <labl>
          Caucasus mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80412
        </catValu>
        <labl>
          Central European mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80418
        </catValu>
        <labl>
          Dinaric Mountains mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80419
        </catValu>
        <labl>
          East European forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80422
        </catValu>
        <labl>
          Euxine-Colchic broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80431
        </catValu>
        <labl>
          Pannonian mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80435
        </catValu>
        <labl>
          Rodope montane mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80446
        </catValu>
        <labl>
          Zagros Mountains forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80504
        </catValu>
        <labl>
          Carpathian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80506
        </catValu>
        <labl>
          East Afghan montane conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80507
        </catValu>
        <labl>
          Elburz Range forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80513
        </catValu>
        <labl>
          Mediterranean conifer and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80514
        </catValu>
        <labl>
          Northeastern Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80515
        </catValu>
        <labl>
          Northern Anatolian conifer and deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80521
        </catValu>
        <labl>
          Tian Shan montane conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80801
        </catValu>
        <labl>
          Alai-Western Tian Shan steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80805
        </catValu>
        <labl>
          Eastern Anatolian montane steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80808
        </catValu>
        <labl>
          Gissaro-Alai open woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80812
        </catValu>
        <labl>
          Middle East steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80814
        </catValu>
        <labl>
          Pontic steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80818
        </catValu>
        <labl>
          Tian Shan foothill arid steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80904
        </catValu>
        <labl>
          Nile Delta flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80905
        </catValu>
        <labl>
          Saharan halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81002
        </catValu>
        <labl>
          Central Tibetan Plateau alpine steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81003
        </catValu>
        <labl>
          Eastern Himalayan alpine shrub and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81004
        </catValu>
        <labl>
          Ghorat-Hazarajat alpine meadow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81005
        </catValu>
        <labl>
          Hindu Kush alpine meadow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81006
        </catValu>
        <labl>
          Karakoram-West Tibetan Plateau alpine steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81009
        </catValu>
        <labl>
          Kuh Rud and Eastern Iran montane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81010
        </catValu>
        <labl>
          Mediterranean High Atlas juniper steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81011
        </catValu>
        <labl>
          North Tibetan Plateau-Kunlun Mountains alpine desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81012
        </catValu>
        <labl>
          Northwestern Himalayan alpine shrub and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81014
        </catValu>
        <labl>
          Pamir alpine desert and tundra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81018
        </catValu>
        <labl>
          Sulaiman Range alpine meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81019
        </catValu>
        <labl>
          Tian Shan montane steppe and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81020
        </catValu>
        <labl>
          Tibetan Plateau alpine shrublands and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81021
        </catValu>
        <labl>
          Western Himalayan alpine shrub and Meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81022
        </catValu>
        <labl>
          Yarlung Tsangpo arid steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81201
        </catValu>
        <labl>
          Aegean and Western Turkey sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81203
        </catValu>
        <labl>
          Canary Islands dry woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81207
        </catValu>
        <labl>
          Eastern Mediterranean conifer-sclerophyllous-broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81208
        </catValu>
        <labl>
          Iberian conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81209
        </catValu>
        <labl>
          Iberian sclerophyllous and semi-deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81210
        </catValu>
        <labl>
          Illyrian deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81212
        </catValu>
        <labl>
          Mediterranean acacia-argania dry woodlands and succulent thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81213
        </catValu>
        <labl>
          Mediterranean dry woodlands and steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81214
        </catValu>
        <labl>
          Mediterranean woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81217
        </catValu>
        <labl>
          Pindus Mountains mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81219
        </catValu>
        <labl>
          Southeastern Iberian shrubs and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81220
        </catValu>
        <labl>
          Southern Anatolian montane conifer and deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81221
        </catValu>
        <labl>
          Southwest Iberian Mediterranean sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81222
        </catValu>
        <labl>
          Tyrrhenian-Adriatic Sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81301
        </catValu>
        <labl>
          Afghan Mountains semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81303
        </catValu>
        <labl>
          Arabian Desert and East Sahero-Arabian xeric shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81304
        </catValu>
        <labl>
          Atlantic coastal desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81305
        </catValu>
        <labl>
          Azerbaijan shrub desert and steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81306
        </catValu>
        <labl>
          Badghyz and Karabil semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81307
        </catValu>
        <labl>
          Baluchistan xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81309
        </catValu>
        <labl>
          Central Afghan Mountains xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81310
        </catValu>
        <labl>
          Central Asian northern desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81311
        </catValu>
        <labl>
          Central Asian riparian woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81312
        </catValu>
        <labl>
          Central Asian southern desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81318
        </catValu>
        <labl>
          Kazakh semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81320
        </catValu>
        <labl>
          Mesopotamian shrub desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81321
        </catValu>
        <labl>
          North Saharan steppe and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81322
        </catValu>
        <labl>
          Paropamisus xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81325
        </catValu>
        <labl>
          Red Sea Nubo-Sindian tropical desert and semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81326
        </catValu>
        <labl>
          Registan-North Pakistan sandy desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81327
        </catValu>
        <labl>
          Sahara desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81328
        </catValu>
        <labl>
          South Iran Nubo-Sindian desert and semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81329
        </catValu>
        <labl>
          South Saharan steppe and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81330
        </catValu>
        <labl>
          Taklimakan desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81332
        </catValu>
        <labl>
          West Saharan montane xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81333
        </catValu>
        <labl>
          Red Sea coastal desert
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2675" name="C_LIVELIHOOD" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Livelihood zone of household
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="834999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LIVELIHOOD reports the predominant livelihood zone within a 5 kilometer circular buffer around each DHS cluster location. Livelihood can be used as an indicator for sources of food and/or income and a measure for people's vulnerability to hazards, such as flood, drought, food crisis, market disruption, or conflicts. LIVELIHOOD is available for a subset of the DHS samples with GPS cluster information. 
 
Livelihood zones are country-specific; therefore, codes and labels for LIVELIHOOD vary across   countries. The 6-character codes (e.g., 854001) include the 3-digit country code (e.g., 854), followed by the 3-digit numeric livelihood (e.g., West cotton and cereals) code. Please see the User Note on Using IPUMS-DHS Contextual Variables: Livelihood Zones [URL omitted from DDI.] or the list of livelihood zones' labels and codes, categorized by country [URL omitted from DDI.]. The User Note also discusses the data sources and methodology used to calculate this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Coastal fishing, horticulture, and non-farm income
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Transitional banana and pineapple farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Southern livestock, millet, and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Sub humid livestock and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Mid-eastern cassava and savannah forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Central highlands potato and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          Central highlands maize and beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Transitional lowland maize, cassava, and beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Tropical forest, cassava, banana, and coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Southeast cassava, peanuts, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Northeast hunting and food crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1403
        </catValu>
        <labl>
          Northern sorghum and millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1404
        </catValu>
        <labl>
          East central mining, cassava, and peanuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1405
        </catValu>
        <labl>
          Southern coffee, cassava, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1406
        </catValu>
        <labl>
          Central cassava, peanuts, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1407
        </catValu>
        <labl>
          Central cotton, cassava, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1408
        </catValu>
        <labl>
          Northern cotton, cassava, and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1409
        </catValu>
        <labl>
          Western cassava, maize, and peanuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Copperbelt and Marginal Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Savannah Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Savannah Surplus Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1804
        </catValu>
        <labl>
          Kamalondo Depression
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1805
        </catValu>
        <labl>
          Southern Tanganyika-Mwero Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1806
        </catValu>
        <labl>
          Maniema Savannah Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1807
        </catValu>
        <labl>
          High Food Production and Surplus Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1808
        </catValu>
        <labl>
          Northern Tanganyika Midland Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1809
        </catValu>
        <labl>
          Mountain Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Abay Beshilo River Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Abay Gorge Sesame, Maize &amp; Honey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Abay Tekeze Watershed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Abe Dongoro-Diga-Sasiga Coffee &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2315
        </catValu>
        <labl>
          Abijata Shala Jido Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2316
        </catValu>
        <labl>
          Adaba Dodola Community Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2317
        </catValu>
        <labl>
          Addis Ababa City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2318
        </catValu>
        <labl>
          Adiyabo Lowland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2319
        </catValu>
        <labl>
          Afder Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Savannah forest and market-oriented cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Savannah forest and subsistence cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Fishing, cassava, and cross-border trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Coastal livestock ranching
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3241
        </catValu>
        <labl>
          Coastal: Rice, Fishing, Palm oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Piedmont: Rice, Groundnut, Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3243
        </catValu>
        <labl>
          Central plateau: Horticulture, Fonio, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3244
        </catValu>
        <labl>
          Mountain: Livestock, Fonio, Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3245
        </catValu>
        <labl>
          Mountain : Rice, Livestock, Fonio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3246
        </catValu>
        <labl>
          Northern plateau: Rice, Groundnut, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3247
        </catValu>
        <labl>
          Savannah with shrubs: Rice, Gold mining, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3248
        </catValu>
        <labl>
          Northeast: Maize, Gold mining, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3249
        </catValu>
        <labl>
          Wooded savannah: Rice, Manioc, Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Dry Coastal Maize and Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          North Tubers and Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Central Plateau Maize and Tubers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3324
        </catValu>
        <labl>
          Rice Plains of the Artibonite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3325
        </catValu>
        <labl>
          Western Banana Plains of Arcahaie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3326
        </catValu>
        <labl>
          West Gardening and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3327
        </catValu>
        <labl>
          South Beans, Bananas, and Petty Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3328
        </catValu>
        <labl>
          Southwestern Coast Maize, Manioc, and Bush Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3329
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Garifuna Littoral and Bay Islands Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Atlantic Littoral Palm Oil Production
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Labor Income from Maquilas, Banana, and Sugarcane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Mosquitia Hunting and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3405
        </catValu>
        <labl>
          Mountainous Coffee and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          Gulf of Fonseca Fishing and Salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3407
        </catValu>
        <labl>
          Subsistence Grains and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          Labor Income from Melons and Shrimp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3409
        </catValu>
        <labl>
          Grains and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4041
        </catValu>
        <labl>
          Northwestern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4042
        </catValu>
        <labl>
          Turkwell Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <labl>
          Northwestern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4044
        </catValu>
        <labl>
          Lake Turkana Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4045
        </catValu>
        <labl>
          Northern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4046
        </catValu>
        <labl>
          Marsabit Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4047
        </catValu>
        <labl>
          Northeastern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4048
        </catValu>
        <labl>
          Mandera Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4049
        </catValu>
        <labl>
          Northeastern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4261
        </catValu>
        <labl>
          Northern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4262
        </catValu>
        <labl>
          Southern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4263
        </catValu>
        <labl>
          Foothills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4264
        </catValu>
        <labl>
          Mountains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4265
        </catValu>
        <labl>
          Senqu River Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4301
        </catValu>
        <labl>
          North-East Rice Intercropped with Cowpeas, Groundnuts, and Palm Oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4302
        </catValu>
        <labl>
          North and Central Rice with Cassava and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4303
        </catValu>
        <labl>
          South-East Rice with Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4304
        </catValu>
        <labl>
          Coastal Plain Cassava with Rice and River Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4305
        </catValu>
        <labl>
          Coastal Fishing and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4306
        </catValu>
        <labl>
          Rice Intercropped and Forest Hunting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4307
        </catValu>
        <labl>
          Plantain Cash Crop with Food Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4308
        </catValu>
        <labl>
          Rubber and Charcoal with Food Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4309
        </catValu>
        <labl>
          Monrovia Peri-Urban: Petty Tade, Market Gardening, &amp; Casual Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Extreme north: sugar cane, fishing, tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          North: vanilla, clove, coconut tree
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Sofia River basin: tobacco, onion, fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Northern highland: rice, zebu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4505
        </catValu>
        <labl>
          Betsiboka Delta: rice, fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4506
        </catValu>
        <labl>
          Upper Betsiboka: gold mining, rice, cows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4507
        </catValu>
        <labl>
          Aloatra: rice, fishing, livestock rearing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4508
        </catValu>
        <labl>
          Toamasina: cloves, coffee, trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4509
        </catValu>
        <labl>
          West: rice, fishing, gathering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4541
        </catValu>
        <labl>
          Central Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4542
        </catValu>
        <labl>
          Chitipa Millet &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4543
        </catValu>
        <labl>
          Kasungu Lilongwe Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4544
        </catValu>
        <labl>
          Lake Chilwa - Phalombe Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4545
        </catValu>
        <labl>
          Lower Shire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4546
        </catValu>
        <labl>
          Middle Shire Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4547
        </catValu>
        <labl>
          Misuku Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4548
        </catValu>
        <labl>
          Mzimba Self Sufficient
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4549
        </catValu>
        <labl>
          Nkhata Bay Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4661
        </catValu>
        <labl>
          Nomadism and Trans-Saharan Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4662
        </catValu>
        <labl>
          Northern Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4663
        </catValu>
        <labl>
          Niger Loop Rice and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4664
        </catValu>
        <labl>
          Central Livestock, Millet, and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4665
        </catValu>
        <labl>
          Dogon Plateau Millet and Shallots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4666
        </catValu>
        <labl>
          Niger Delta Rice, Cattle, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4667
        </catValu>
        <labl>
          Office du NigerRice and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4668
        </catValu>
        <labl>
          Northwestern Sorghum, Remittances, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4669
        </catValu>
        <labl>
          Central Sorghum and Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5081
        </catValu>
        <labl>
          Lakeshore Basic Staples and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5082
        </catValu>
        <labl>
          Northern Highland Forest and Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5083
        </catValu>
        <labl>
          Northwestern Tobacco and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5084
        </catValu>
        <labl>
          Northern Cassava, Maize, and Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5085
        </catValu>
        <labl>
          Northern Highland with Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5086
        </catValu>
        <labl>
          Northeastern Highland Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5087
        </catValu>
        <labl>
          Northeastern Cassava, Cashew, and Coconut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5088
        </catValu>
        <labl>
          North-Central Coastal Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5089
        </catValu>
        <labl>
          Plains with Cassava, Rice, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5621
        </catValu>
        <labl>
          North-east Oases: Dates, Salt and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5622
        </catValu>
        <labl>
          Massif Irrigated Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5623
        </catValu>
        <labl>
          Transhumant and Nomad Pastoralism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5624
        </catValu>
        <labl>
          Agropastoral Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5625
        </catValu>
        <labl>
          Rainfed Millet and Sorghum Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5626
        </catValu>
        <labl>
          Cropping and Herding with High Work Outmigration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5627
        </catValu>
        <labl>
          Southern Irrigated Cash Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5628
        </catValu>
        <labl>
          Southwestern Cereals with Fan-Palm Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5629
        </catValu>
        <labl>
          Niger River Irrigated Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5661
        </catValu>
        <labl>
          Coastal Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5662
        </catValu>
        <labl>
          Southern Cocoa, Palm Oil, and Kola nut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5663
        </catValu>
        <labl>
          South-Central Yam, Cassava, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5664
        </catValu>
        <labl>
          Southeast Rice, Salt, and Granite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5665
        </catValu>
        <labl>
          Niger and Benue River Floodplain Rice and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5666
        </catValu>
        <labl>
          Central Plain Yam and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5667
        </catValu>
        <labl>
          Mambilla Plateau Cattle, Cocoa, and Tea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5668
        </catValu>
        <labl>
          Central Highland Maize and Soybean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5669
        </catValu>
        <labl>
          Northeastern Highland Maize, Cocoyam, Potatoes, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6461
        </catValu>
        <labl>
          Lake Kivu Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6462
        </catValu>
        <labl>
          Western Congo-Nile Crest Tea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6463
        </catValu>
        <labl>
          Northwestern Volcanic Irish Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6464
        </catValu>
        <labl>
          Eastern Congo-Nile Highland Subsistence Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6465
        </catValu>
        <labl>
          Central Plateau Cassava and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6466
        </catValu>
        <labl>
          Northern Highland Beans and Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6467
        </catValu>
        <labl>
          Central-Northern Highland Irish Potato, Beans and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6468
        </catValu>
        <labl>
          Bugesera Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6469
        </catValu>
        <labl>
          Eastern Plateau Mixed Agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6861
        </catValu>
        <labl>
          The Niayes Gardening and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6862
        </catValu>
        <labl>
          Delta Rice, Horticulture, and Agricultural Labor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6863
        </catValu>
        <labl>
          Valley Rice and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6864
        </catValu>
        <labl>
          Dieri Millet and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6865
        </catValu>
        <labl>
          Rainfed Cowpea and Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6866
        </catValu>
        <labl>
          Sylvopatoral Livestock and Gathering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6867
        </catValu>
        <labl>
          Small Coast Fishing and Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6868
        </catValu>
        <labl>
          Rainfed Groundnut and Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6869
        </catValu>
        <labl>
          Agropastoral Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6941
        </catValu>
        <labl>
          Tonkolili Food Crops and Gold
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6942
        </catValu>
        <labl>
          Bombali Food Crops, Peppers, Tobacco and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6943
        </catValu>
        <labl>
          Western Rice, Root Crops, Cereals and Trade Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6944
        </catValu>
        <labl>
          Coastal Food Crops and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6945
        </catValu>
        <labl>
          Kailahun-Kenema-Kono Cash Crops, Food Crops and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6946
        </catValu>
        <labl>
          Kono-Kenema-Bo Rice, Tree Crops and Timber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6947
        </catValu>
        <labl>
          Koinadugu Livestock, Food Crops and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6948
        </catValu>
        <labl>
          Follosaba Dembelia and Wara Wara Yagala Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6949
        </catValu>
        <labl>
          Freetown Peri-Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Agrofisheries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Beitbridge South Western Lowveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Bikita-Zaka Highlands Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Central and Northern Semi Intensive Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Cereal and High Cotton Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Cereal and Low Cotton Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7167
        </catValu>
        <labl>
          Eastern Highlands Commercial Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7168
        </catValu>
        <labl>
          Eastern Highlands Prime Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7169
        </catValu>
        <labl>
          Eastern Kalahari Sandveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7621
        </catValu>
        <labl>
          Eastern Pamir Plateau Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7622
        </catValu>
        <labl>
          Western Pamir Valley Migratory Work Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7623
        </catValu>
        <labl>
          Western Pamir Irrigated Agriculture Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7624
        </catValu>
        <labl>
          Rasht Valley Irrigated Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7625
        </catValu>
        <labl>
          Khatlon Mountain Agro-Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7626
        </catValu>
        <labl>
          Southern Khatlon Cotton, Vegetable and Wheat Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7627
        </catValu>
        <labl>
          Khatlon Rainfed Wheat and Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7628
        </catValu>
        <labl>
          Central and Eastern Tajikistan Agro-Industrial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7629
        </catValu>
        <labl>
          Eastern and Central Zeravshan Valley Agro-Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          North Eastern Karamoja Highland Apiculture and Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Western Karamoja Mixed Crop Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8003
        </catValu>
        <labl>
          South Eastern Karamoja Cattle Maize Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8004
        </catValu>
        <labl>
          Karamoja Mountain and Foot Hills Maize and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8005
        </catValu>
        <labl>
          Central Karamoja Sorghum and Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8006
        </catValu>
        <labl>
          NE Sorghum Simsim Maize Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8007
        </catValu>
        <labl>
          North Kitgum Gulu Amuru West Nile Simsim Sorghum Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8008
        </catValu>
        <labl>
          Palabek Tobacco Simsim Sorghum and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8009
        </catValu>
        <labl>
          South Kitgum Pader Abim Simsim Groundnuts Sorghum Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8341
        </catValu>
        <labl>
          Southern Maasai Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8342
        </catValu>
        <labl>
          River Pangani Paddy and Maize Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8343
        </catValu>
        <labl>
          Tanga Maize and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8344
        </catValu>
        <labl>
          Tanga Maize and Sisal Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8345
        </catValu>
        <labl>
          Usambara-Pare Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8346
        </catValu>
        <labl>
          Tanga Maize, Orange, and Jackfruit Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8347
        </catValu>
        <labl>
          Tanga-Pwani Coastal Maize, Paddy Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8348
        </catValu>
        <labl>
          Handeni-Bagamoyo Maize, Cassava, and Fruit Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8349
        </catValu>
        <labl>
          Loliondo Midland Maize, Beans, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8541
        </catValu>
        <labl>
          South tubers and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8542
        </catValu>
        <labl>
          Southwest fruits, cotton, and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8543
        </catValu>
        <labl>
          West cotton and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8544
        </catValu>
        <labl>
          West cereals and remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8545
        </catValu>
        <labl>
          Central plateau cereals and market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8546
        </catValu>
        <labl>
          Ouagadougou peri-urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8547
        </catValu>
        <labl>
          North and east livestock and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8548
        </catValu>
        <labl>
          North transhuman pastoralism and millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8549
        </catValu>
        <labl>
          Southeast cereals, livestock, forestry and faune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8941
        </catValu>
        <labl>
          Northwest High Rainfall Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8942
        </catValu>
        <labl>
          Tuta-Luapula Corridor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8943
        </catValu>
        <labl>
          Northern Province Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8944
        </catValu>
        <labl>
          Copperbelt Mining Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8945
        </catValu>
        <labl>
          Mufumbwe-Kasempa Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8946
        </catValu>
        <labl>
          Muchinga Escarpment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8947
        </catValu>
        <labl>
          Central Maize-Cotton Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8948
        </catValu>
        <labl>
          Chama-Lundazi Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8949
        </catValu>
        <labl>
          Line Of Rail Commercial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10811
        </catValu>
        <labl>
          Buragane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10812
        </catValu>
        <labl>
          Congo Ridge Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10813
        </catValu>
        <labl>
          Eastern Arid Plateaus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10814
        </catValu>
        <labl>
          Humid Plateaus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10815
        </catValu>
        <labl>
          Imbo Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10816
        </catValu>
        <labl>
          Northern Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10817
        </catValu>
        <labl>
          Eastern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10818
        </catValu>
        <labl>
          Southern Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14010
        </catValu>
        <labl>
          Southern maize, citrus fruits, and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14011
        </catValu>
        <labl>
          Southwest cassava, coffee, gathering, and mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18010
        </catValu>
        <labl>
          Midland Agricultural Savannah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18011
        </catValu>
        <labl>
          Virunga Volcanic Soils Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18012
        </catValu>
        <labl>
          Forest Cultivation and Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18013
        </catValu>
        <labl>
          Artisanal Mining with Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18014
        </catValu>
        <labl>
          Northeast Highlands Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18015
        </catValu>
        <labl>
          Orientale Fishing with Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18016
        </catValu>
        <labl>
          Northern Plateau Cassava, Maize, Groundnuts and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18017
        </catValu>
        <labl>
          Bumba Rice and Tubers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18018
        </catValu>
        <labl>
          Bomongo and Makanza Districts Intensive Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18019
        </catValu>
        <labl>
          Fishing and Staples Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18020
        </catValu>
        <labl>
          Cuvette Centrale Staple Crops, Fishing and Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18021
        </catValu>
        <labl>
          Equatorial Forest, Hunting, Fishing and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18022
        </catValu>
        <labl>
          Lighter Forest with Rice and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18023
        </catValu>
        <labl>
          Savannah with Cassava and Cowpeas and Small Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18024
        </catValu>
        <labl>
          Intensive Artisanal Diamond Exploitation with Crop Cultivation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18025
        </catValu>
        <labl>
          Clay Soils with High Production of Cassava and Maize, and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18026
        </catValu>
        <labl>
          High Food Crop Production and Trading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18027
        </catValu>
        <labl>
          Agropastoral Staple Crops, Small Stock and Cattle and Wild Foods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18028
        </catValu>
        <labl>
          Agriculture with High Production and Marketing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18029
        </catValu>
        <labl>
          Cassava, Maize and Groundnuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18030
        </catValu>
        <labl>
          Market Gardening and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18031
        </catValu>
        <labl>
          River Fishing and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18032
        </catValu>
        <labl>
          Coastal Fishing and Kitchen Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18033
        </catValu>
        <labl>
          Forest Staple Crops, Cash Crops and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18034
        </catValu>
        <labl>
          Kinshasa Peri-urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Agarfa, Gasera, Ginir &amp; Gololcha Fruit, Coffee &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23111
        </catValu>
        <labl>
          Alaba-Mareko Lowland Pepper LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23112
        </catValu>
        <labl>
          Alaje Ofla Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23113
        </catValu>
        <labl>
          Amaro Coffee and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23114
        </catValu>
        <labl>
          Ambo Selale Ginderberet Teff &amp; Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23115
        </catValu>
        <labl>
          Ameya-Wolisso-Ambo Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23116
        </catValu>
        <labl>
          Anfilo Coffee Monoculture &amp; Honey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23117
        </catValu>
        <labl>
          Anger Maize, Sorghum &amp; Finger Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23118
        </catValu>
        <labl>
          Aramiss - Adaar Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23119
        </catValu>
        <labl>
          Arsi Bale Wheat, Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23120
        </catValu>
        <labl>
          Asale Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23121
        </catValu>
        <labl>
          Asale Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23122
        </catValu>
        <labl>
          Atsbi Womberta Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23123
        </catValu>
        <labl>
          Awassa Chat and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23124
        </catValu>
        <labl>
          Awsa-Gewane Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23125
        </catValu>
        <labl>
          Badewacho-Alaba Maize LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23126
        </catValu>
        <labl>
          Bale Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23127
        </catValu>
        <labl>
          Bale Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23128
        </catValu>
        <labl>
          Basketo-Melo Coffee and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23129
        </catValu>
        <labl>
          Becho-Adea Teff &amp; Chickpea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23130
        </catValu>
        <labl>
          Bench-Keffa Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23131
        </catValu>
        <labl>
          Bilate Basin Agro-Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23132
        </catValu>
        <labl>
          Borena-Guji Cattle Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23133
        </catValu>
        <labl>
          Borena-Guji Coffee &amp; Enset
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23134
        </catValu>
        <labl>
          Borena-Guji Maize, Wheat &amp; Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23135
        </catValu>
        <labl>
          Central Highland Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23136
        </catValu>
        <labl>
          Central Horo Teff, Nug &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23137
        </catValu>
        <labl>
          Central Kolla Sorghum, Maize &amp; Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23138
        </catValu>
        <labl>
          Central Mixed Crop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23139
        </catValu>
        <labl>
          Chamo-Abaya Irrigated Banana LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23140
        </catValu>
        <labl>
          Chat &amp; Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23141
        </catValu>
        <labl>
          Chebo-Inchini Enset, Barley &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23142
        </catValu>
        <labl>
          Cheffa valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23143
        </catValu>
        <labl>
          Chenno Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23144
        </catValu>
        <labl>
          Chercher &amp; Gololcha Chole Coffee, Maize &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23145
        </catValu>
        <labl>
          Dale-Lalo Sorghum &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23146
        </catValu>
        <labl>
          Dallo, Barbare &amp; Arana-Buluk Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23147
        </catValu>
        <labl>
          Dawa-Ganale Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23148
        </catValu>
        <labl>
          Dawro-Konta Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23149
        </catValu>
        <labl>
          Degahbur Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23150
        </catValu>
        <labl>
          Didessa-Gibe-Wama Valley Sorghum, Maize &amp; Oilcrops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23151
        </catValu>
        <labl>
          Eastern Planteau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23152
        </catValu>
        <labl>
          Ebantu-Limu Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23153
        </catValu>
        <labl>
          Eli daar Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23154
        </catValu>
        <labl>
          Enderta Dry Midland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23155
        </catValu>
        <labl>
          Fik Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23156
        </catValu>
        <labl>
          Filtu-Dolo Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23157
        </catValu>
        <labl>
          Gambella Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23158
        </catValu>
        <labl>
          Gambella Coffee, Honey &amp; Cereal LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23159
        </catValu>
        <labl>
          Gambella Mixed Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23160
        </catValu>
        <labl>
          Gamo Gofa Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23161
        </catValu>
        <labl>
          Gamo Gofa Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23162
        </catValu>
        <labl>
          Gedeo Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23163
        </catValu>
        <labl>
          Gera-Setema-Sale Forest Teff, Honey &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23164
        </catValu>
        <labl>
          Gerbo Enset &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23165
        </catValu>
        <labl>
          Gesho and Wheat Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23166
        </catValu>
        <labl>
          Gibe Maize &amp; Peppers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23167
        </catValu>
        <labl>
          Gode Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23168
        </catValu>
        <labl>
          Goro-Ginir Spice &amp; Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23169
        </catValu>
        <labl>
          Guduru-Amuru Maize, Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23170
        </catValu>
        <labl>
          Guji-Borena Enset, Barley &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23171
        </catValu>
        <labl>
          Guna Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23172
        </catValu>
        <labl>
          Gurage Lowland Maize and Teff LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23173
        </catValu>
        <labl>
          Gurage-Siltie Enset and Teff LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23174
        </catValu>
        <labl>
          Gurage-Siltie Highland Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23175
        </catValu>
        <labl>
          Gurage-Siltie Midland Enset and Chat LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23176
        </catValu>
        <labl>
          Gursum-Babile Groundnuts &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23177
        </catValu>
        <labl>
          Hadero Ginger LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23178
        </catValu>
        <labl>
          Hadiya Maize LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23179
        </catValu>
        <labl>
          Hadiya-Kembata Cereal and Enset LZ - Hadiya sub zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23180
        </catValu>
        <labl>
          Hadiya-Kembata Cereal and Enset LZ - Kembata sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23181
        </catValu>
        <labl>
          Harshin-Degahbur East Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23182
        </catValu>
        <labl>
          Humera Sesame and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23183
        </catValu>
        <labl>
          Illu-Wellega-Birbir Maize, Peppers &amp; Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23184
        </catValu>
        <labl>
          Irob Mountains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23185
        </catValu>
        <labl>
          Jaldu-Dendi-Ilfata Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23186
        </catValu>
        <labl>
          Jijiga Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23187
        </catValu>
        <labl>
          Jijiga Sedentary Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23188
        </catValu>
        <labl>
          Jimma-Illubabur Coffee, Cereals &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23189
        </catValu>
        <labl>
          Jimma-Yama Logi Teff &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23190
        </catValu>
        <labl>
          Kaffa Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23191
        </catValu>
        <labl>
          Kedida-Badewacho Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23192
        </catValu>
        <labl>
          Kereyu Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23193
        </catValu>
        <labl>
          Keto-Begi Cereals &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23194
        </catValu>
        <labl>
          Kofele Kokosa Enset &amp; Cattle Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23195
        </catValu>
        <labl>
          Korahe Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23196
        </catValu>
        <labl>
          Korahe-Gode Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23197
        </catValu>
        <labl>
          Liban Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23198
        </catValu>
        <labl>
          Lowland-Hawd Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23199
        </catValu>
        <labl>
          Market-Isolated Cattle &amp; Shoat Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32410
        </catValu>
        <labl>
          Pre-forest zone: Rice, Manioc, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32411
        </catValu>
        <labl>
          Forest: Rice, Palm oil, Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34010
        </catValu>
        <labl>
          Platano River Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34011
        </catValu>
        <labl>
          Urban Center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40410
        </catValu>
        <labl>
          Grasslands Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40411
        </catValu>
        <labl>
          Southeastern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40412
        </catValu>
        <labl>
          Coastal Medium Potential Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40413
        </catValu>
        <labl>
          Coastal Marginal Agricultural Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40414
        </catValu>
        <labl>
          Tana Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40415
        </catValu>
        <labl>
          Southern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40416
        </catValu>
        <labl>
          Southeastern Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40417
        </catValu>
        <labl>
          Southeastern Medium Potential, Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40418
        </catValu>
        <labl>
          Southern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40419
        </catValu>
        <labl>
          Central Highlands, High Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40420
        </catValu>
        <labl>
          Western Medium Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40421
        </catValu>
        <labl>
          Western High Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40422
        </catValu>
        <labl>
          Western Lakeshore Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40423
        </catValu>
        <labl>
          Lake Victoria Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40424
        </catValu>
        <labl>
          Western Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45010
        </catValu>
        <labl>
          Agropastoral midwest: rice, maize, pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45011
        </catValu>
        <labl>
          Central Iarivo: rice, market gardening, eucalyptus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45012
        </catValu>
        <labl>
          Moramanga: forest, petty trade, market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45013
        </catValu>
        <labl>
          Center-east: litchi, coffee, citrus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45014
        </catValu>
        <labl>
          Ankaratra: staple crops, horticulture, milk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45015
        </catValu>
        <labl>
          Tsirobihina Delta: rice, fishing, pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45016
        </catValu>
        <labl>
          South-central peneplain: rice, onion, small livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45017
        </catValu>
        <labl>
          Southern highlands: staple crops, crafts, market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45018
        </catValu>
        <labl>
          Corridor: forest products, banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45019
        </catValu>
        <labl>
          Southeast: coffee, litchi, cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45020
        </catValu>
        <labl>
          Southwest: rice, lima bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45021
        </catValu>
        <labl>
          Bara plateau: cows, cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45022
        </catValu>
        <labl>
          Center-south: staple crops, industrial sisal, zebu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45023
        </catValu>
        <labl>
          Mahafaly plateau: cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45024
        </catValu>
        <labl>
          Extreme south: cassava, maize, livestock rearing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45410
        </catValu>
        <labl>
          Northern Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45411
        </catValu>
        <labl>
          Northern Lakeshore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45412
        </catValu>
        <labl>
          Phirilongwe Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45413
        </catValu>
        <labl>
          Rift Valley Escarpment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45414
        </catValu>
        <labl>
          Shire Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45415
        </catValu>
        <labl>
          Southern Lakeshore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45416
        </catValu>
        <labl>
          Thyolo Mulunje Tea Estates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45417
        </catValu>
        <labl>
          Western Rumphi &amp; Mzimba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45418
        </catValu>
        <labl>
          Border Productive Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45420
        </catValu>
        <labl>
          National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45421
        </catValu>
        <labl>
          Lake Niassa islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46610
        </catValu>
        <labl>
          Southeastern Sorghum, Millet, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46611
        </catValu>
        <labl>
          Southern Maize, Cotton, and Fruits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46612
        </catValu>
        <labl>
          Southwestern Maize, Livestock, and Gold Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46613
        </catValu>
        <labl>
          Center-eastern Millet and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46614
        </catValu>
        <labl>
          Lakes Recessional Millet and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46615
        </catValu>
        <labl>
          Western Groundnut, Sorghum, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46616
        </catValu>
        <labl>
          Southwestern Gold Mining and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50810
        </catValu>
        <labl>
          Zambezi Valley with Maize and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50811
        </catValu>
        <labl>
          Northwestern Cropping and Cross-border Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50812
        </catValu>
        <labl>
          Coastal Sugarcane and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50813
        </catValu>
        <labl>
          Tete Highland Mixed Cropping, Tobbaco, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50814
        </catValu>
        <labl>
          Cahora Bassa Dam Sesame and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50815
        </catValu>
        <labl>
          Central Semiarid Cotton and Minerals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50816
        </catValu>
        <labl>
          Manica Highland Mixed Cropping, Cotton, and Tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50817
        </catValu>
        <labl>
          Central Manica and Sofala Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50818
        </catValu>
        <labl>
          Cheringoma and Muanza Maize and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50819
        </catValu>
        <labl>
          Central Semiarid Pineapple and Cashew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50820
        </catValu>
        <labl>
          Southern Coastal Cassava, Coconut, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50821
        </catValu>
        <labl>
          Southern Intermediate Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50822
        </catValu>
        <labl>
          Southern Semiarid Cereals and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50823
        </catValu>
        <labl>
          Southeastern Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50824
        </catValu>
        <labl>
          Limpopo and Elephant Rivers Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50825
        </catValu>
        <labl>
          Southern Coastal Rishing, Manioc, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50826
        </catValu>
        <labl>
          Southern Highland Cattle and Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56210
        </catValu>
        <labl>
          Dallols - Seasonal Water-Course Irrigated Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56211
        </catValu>
        <labl>
          Southeastern Natron Salt and Small Basin Irrigated Dates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56212
        </catValu>
        <labl>
          Komadougou Irrigated Peppers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56213
        </catValu>
        <labl>
          Lake Chad Flood-Retreat Cultivation with Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56214
        </catValu>
        <labl>
          Transhumant and Nomad Pastoralism-Camels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56610
        </catValu>
        <labl>
          North-Central Maize, Sorghum, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56611
        </catValu>
        <labl>
          Northern Floodplains Irrigated Rice, Wheat, and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56612
        </catValu>
        <labl>
          Northeast Millet, Cowpea, and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56613
        </catValu>
        <labl>
          Sahel Mixed Cereals and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56614
        </catValu>
        <labl>
          Lake Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64610
        </catValu>
        <labl>
          Southeastern Plateau Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64611
        </catValu>
        <labl>
          Eastern Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64612
        </catValu>
        <labl>
          Eastern Semi-Arid Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64613
        </catValu>
        <labl>
          Urban Area
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64614
        </catValu>
        <labl>
          Akagera National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64615
        </catValu>
        <labl>
          Gishwati Forest Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64616
        </catValu>
        <labl>
          Mukura Forest Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64617
        </catValu>
        <labl>
          Nyungwe Forest National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68610
        </catValu>
        <labl>
          Rainfed Groundnut and Cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68611
        </catValu>
        <labl>
          Forest and Rainfed Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68612
        </catValu>
        <labl>
          Forest, Rainfed Rice, and Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68613
        </catValu>
        <labl>
          Rainfed Maize, Cotton, and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68614
        </catValu>
        <labl>
          Rainfed Maize and Lumber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68615
        </catValu>
        <labl>
          Rainfed Maize and Artisanal Gold Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68616
        </catValu>
        <labl>
          Urban Area - Dakar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69410
        </catValu>
        <labl>
          Rice Bowl Areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71610
        </catValu>
        <labl>
          Greater Mudzi Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71611
        </catValu>
        <labl>
          Highveld Prime Cereal and Cash Crop Resettlement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71612
        </catValu>
        <labl>
          Highveld Prime Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71613
        </catValu>
        <labl>
          Irrigated Commercial Sugar and Fruit Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71614
        </catValu>
        <labl>
          Kariba Valley and Kariangwe-Jambezi Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71615
        </catValu>
        <labl>
          Livestock and Cereal Farming Communal in Forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71616
        </catValu>
        <labl>
          Lusulu, Lupane and Southern Gokwe Mixed Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71617
        </catValu>
        <labl>
          Masvingo Manicaland Middleveld Smallholder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71618
        </catValu>
        <labl>
          Matabeleland Middleveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71619
        </catValu>
        <labl>
          Mutorashanga Informal mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71620
        </catValu>
        <labl>
          Mwenezi, Chivi and South Midland Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71621
        </catValu>
        <labl>
          Northern Cattle and Cereal Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71622
        </catValu>
        <labl>
          Northern Zambezi Valley Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71623
        </catValu>
        <labl>
          Save River Valley and Ndowoyo Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71624
        </catValu>
        <labl>
          Southern Cattle and Cereal Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71625
        </catValu>
        <labl>
          Western Kalahari Sandveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76210
        </catValu>
        <labl>
          Panjakent Rice, Fruit and Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76211
        </catValu>
        <labl>
          Ghonchi and Istaravshan Rainfed Cereal, Fruit, and Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76212
        </catValu>
        <labl>
          North Sughd Agro-Industrial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76213
        </catValu>
        <labl>
          Khatlon Agro-Industrial Peri-urban Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80010
        </catValu>
        <labl>
          Albertine West Nile Lowland Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80011
        </catValu>
        <labl>
          Kafu Muzizi Maize Upland Rice Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80012
        </catValu>
        <labl>
          Albertine Escarpment Cotton Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80013
        </catValu>
        <labl>
          Bwijanga Pakanyi SugarcaNE Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80014
        </catValu>
        <labl>
          Karuma Masindi Oyam Tobacco Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80015
        </catValu>
        <labl>
          West Nile Tobacco Cassava Sorghum Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80016
        </catValu>
        <labl>
          Rwenzori Mt.Elgon West Nile Arabica Coffee Banana Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80017
        </catValu>
        <labl>
          Amuru Gulu Rice Groundnut Sorghum Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80018
        </catValu>
        <labl>
          Southwest Gulu Beans Groundnuts Shoat Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80019
        </catValu>
        <labl>
          Mid North Simsim Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80020
        </catValu>
        <labl>
          Eastern Lowland Maize Beans Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80021
        </catValu>
        <labl>
          Eastern Central Lowland Cassava Sorghum and Groundnut Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80022
        </catValu>
        <labl>
          Mt Elgon Highland Irish Potato Cereal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80023
        </catValu>
        <labl>
          Central and Southern Cattle Cassava Maize Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80024
        </catValu>
        <labl>
          Lakeshore and Riverbank Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80025
        </catValu>
        <labl>
          Southeastern Maize Beans Robusta Coffee Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80026
        </catValu>
        <labl>
          Midwest Central and Lake Victoria Crescent Robusta Coffee Banana Maize and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80027
        </catValu>
        <labl>
          Rwenzori Midland Banana Fruit Vegetable Dairy Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80028
        </catValu>
        <labl>
          Kazinga Channel Cassava Maize Fruit Vegetable Cotton Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80029
        </catValu>
        <labl>
          Rwenzori Lowland Maize Vegetable Banana Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80030
        </catValu>
        <labl>
          Southeastern Lowland Cassava Cereal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80031
        </catValu>
        <labl>
          Eastern Lowland Rice Root Crop Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80032
        </catValu>
        <labl>
          Southeastern Lowland Cassava Maize Sweet Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80033
        </catValu>
        <labl>
          East Central Plantation Outgrower Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80034
        </catValu>
        <labl>
          Kayunga Masaka Pineapple Banana Robusta Coffee and Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80035
        </catValu>
        <labl>
          SW Highland Irish Potato Sorghum Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80036
        </catValu>
        <labl>
          Kalangala Fishing Oil Palm Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80037
        </catValu>
        <labl>
          Western Rift Valley Cocoa Coffee Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80038
        </catValu>
        <labl>
          Rwenzori Midland Tea and Dairy Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80039
        </catValu>
        <labl>
          Southwestern Midland Banana Robusta Coffee Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80040
        </catValu>
        <labl>
          SW Rift Valley Tobacco Bean Millet Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83410
        </catValu>
        <labl>
          Lower Rombo Maize, Beans, and Finger Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83411
        </catValu>
        <labl>
          Kilimanjaro-Meru Maize, Coffee, and Plantains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83412
        </catValu>
        <labl>
          Karatu Wheat, Maize, and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83413
        </catValu>
        <labl>
          Lower Arusha-Simanjiro Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83414
        </catValu>
        <labl>
          Northern Maasai Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83415
        </catValu>
        <labl>
          Nowu Maize, Beans, and Onions Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83416
        </catValu>
        <labl>
          Babati Kwaraa Maize, Beans, Sunflower, and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83417
        </catValu>
        <labl>
          Kiteto-Kongwa-Mpwapwa-Mvomero Maize, Sorghum, and Pigeon Pea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83418
        </catValu>
        <labl>
          Mbulu-Karatu Midlands Maize, Beans, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83419
        </catValu>
        <labl>
          Hadzabe Hunter-Gatherer Wild Honey, Wild Roots, and Wild Fruit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83420
        </catValu>
        <labl>
          Wembere Paddy, Sorghum, Maize, Sunflower, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83421
        </catValu>
        <labl>
          Bahi-Sanza Irrigated Rice, Maize, Bulrush Millet, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83422
        </catValu>
        <labl>
          Iramba Midland Onion, Maize, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83423
        </catValu>
        <labl>
          Manyoni Upland Maize, Sunflower, Sesame, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83424
        </catValu>
        <labl>
          Tabora-Singida Midland Maize, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83425
        </catValu>
        <labl>
          Singida-Manyara Maize, Sorghum, Beans, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83426
        </catValu>
        <labl>
          East and South Lakeshore Fishing, Cassava, and Upland Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83427
        </catValu>
        <labl>
          Western Lakeshore Coffee, Fishing, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83428
        </catValu>
        <labl>
          Kagera-Kigoma-Mara Banana, Coffee, and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83429
        </catValu>
        <labl>
          Mwanza-Shinyanga-Mara Cotton, Livestock, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83430
        </catValu>
        <labl>
          Kagera Lowlands Beans, Maize, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83431
        </catValu>
        <labl>
          Shinyanga-Tabora Cotton, Upland Rice, Sweet Potato, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83432
        </catValu>
        <labl>
          Sengerema-Geita Highland Cassava, Rice, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83433
        </catValu>
        <labl>
          Kagera-Kigoma Beans, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83434
        </catValu>
        <labl>
          Kahama-Tabora Midland Tobacco, Maize, Rice, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83435
        </catValu>
        <labl>
          Kishapu-Meatu-Maswa Sorghum, Cotton, Sweet Potato, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83436
        </catValu>
        <labl>
          Urambo-Nzega Lowland Groundnuts, Cotton, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83437
        </catValu>
        <labl>
          Kigoma Lowland Palm Oil, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83438
        </catValu>
        <labl>
          Urambo Agropastoral Maize and Sweet Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83439
        </catValu>
        <labl>
          Victoria Islands Fishing, Cassava, Sweet Potato, and Paddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83440
        </catValu>
        <labl>
          Ruaha Riverine Maize, Onion, Tomato, and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83441
        </catValu>
        <labl>
          Chalinze-Tunuguo Maize, Cattle, and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83442
        </catValu>
        <labl>
          Kilombero-Mtibwa Paddy, Maize, and Sugar Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83443
        </catValu>
        <labl>
          Kilombero-Ulanga-Lusewa Paddy, Maize, and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83444
        </catValu>
        <labl>
          Kilosa-Mvomero Maize and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83445
        </catValu>
        <labl>
          Matombo-Kuyuni Spice, Maize, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83446
        </catValu>
        <labl>
          Bagamoyo-Kibaha Midland Cassava, Cashew, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83447
        </catValu>
        <labl>
          Morogoro Highland Maize and Vegetable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83448
        </catValu>
        <labl>
          Maskat-Kimbet Maize and Beans Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83449
        </catValu>
        <labl>
          Newala-Masasi Plateau Sesame, Cassava, Cashew, and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83450
        </catValu>
        <labl>
          Mtwara-Lindi Coastal Rice and Cashew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83451
        </catValu>
        <labl>
          Matumbi Midland Upland Rice, Oranges, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83452
        </catValu>
        <labl>
          Lindi-Nachingwea Lowland Cassava and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83453
        </catValu>
        <labl>
          Southeastern Plateau Cassava, Cashew, and Bambara Nuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83454
        </catValu>
        <labl>
          Mtwara-Lindi-Pwani Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83455
        </catValu>
        <labl>
          Singida-Dodoma Sorghum, B/Millet, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83456
        </catValu>
        <labl>
          Dodoma Lowland Sunflower, Grape, and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83457
        </catValu>
        <labl>
          Mpanda Maize, Paddy, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83458
        </catValu>
        <labl>
          Lake Tanganyika-Rukwa Fishing, Maize, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83459
        </catValu>
        <labl>
          Kyela Paddy, Cacao, and Palm Oil Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83460
        </catValu>
        <labl>
          Rungwe Banana, Coffee, Tea, and Livestock Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83461
        </catValu>
        <labl>
          Mporoto-Umalila Irish Potato, Maize, Wheat, and Pyrethrum Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83462
        </catValu>
        <labl>
          Mbozi-Mbeya Coffee, Maize, Beans, and Livestock Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83463
        </catValu>
        <labl>
          Usangu Paddy, Maize, Sorghum, and Livestock Wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83464
        </catValu>
        <labl>
          Kamsamba Paddy, Sorghum, and Livestock Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83465
        </catValu>
        <labl>
          Chunya Maize, Sunflower, Cassava, and Groundnut Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83466
        </catValu>
        <labl>
          West Chunya Maize, Bulrush Millet, and Sesame Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83467
        </catValu>
        <labl>
          Lake Nyasa Shore Cassava Fishing and Paddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83468
        </catValu>
        <labl>
          Namtumbo Tobacco, Maize, Paddy, and Cassava Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83469
        </catValu>
        <labl>
          Matengo Coffee, Maize, Beans, and Piggery Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83470
        </catValu>
        <labl>
          Songea-Namtumbo-Ludewa-Mibinga Maize, Beans, and Cassava Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83471
        </catValu>
        <labl>
          Njombe-Mufindi Maize, Timber, Tea, Pyrethrum, and Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83472
        </catValu>
        <labl>
          Mtera Dam Fishing, Sorghum, and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83473
        </catValu>
        <labl>
          Makete Wheat, Irish Potato, Timber, and Employment Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83474
        </catValu>
        <labl>
          Njombe-Mufindi Maize, Irish Potato, and Bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83475
        </catValu>
        <labl>
          Iringa-Mbarali Maize, Sunflower, Beans, and Groundnut Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83476
        </catValu>
        <labl>
          Tunduru-Nachingwea-Nanyumbu Cashew, Cassava, and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83477
        </catValu>
        <labl>
          Mpanda-Chunya-Sikonge Maize and Tobacco Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83478
        </catValu>
        <labl>
          Sumbawanga-Mbozi-Mpanda Maize, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83479
        </catValu>
        <labl>
          Water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89410
        </catValu>
        <labl>
          Eastern Province Cash Crop Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89411
        </catValu>
        <labl>
          Sioma Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89412
        </catValu>
        <labl>
          Kazungula-Mwandi Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89413
        </catValu>
        <labl>
          Chongwe-Nyimba Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89414
        </catValu>
        <labl>
          Luano Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89415
        </catValu>
        <labl>
          Mulobezi Woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89416
        </catValu>
        <labl>
          Zambezi West Bank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89417
        </catValu>
        <labl>
          Zambezi East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89418
        </catValu>
        <labl>
          Gwembe Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89419
        </catValu>
        <labl>
          Lake Kariba Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89420
        </catValu>
        <labl>
          Chiawa-Zambezi Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89421
        </catValu>
        <labl>
          Mambwe-Petauke Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89422
        </catValu>
        <labl>
          Mkushi Commercial Block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89423
        </catValu>
        <labl>
          Zambezi Floodplain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89424
        </catValu>
        <labl>
          Luapula Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89425
        </catValu>
        <labl>
          Luangwa-Mfuwe Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89426
        </catValu>
        <labl>
          Luapula-Northern Wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89427
        </catValu>
        <labl>
          Kaputa Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231100
        </catValu>
        <labl>
          Meketel Highland Cereal &amp; Pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231101
        </catValu>
        <labl>
          Melka Awash-Ochocha Mid-Highland Wheat &amp; Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231102
        </catValu>
        <labl>
          Mendi-Dabisu Maize, Sesame &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231103
        </catValu>
        <labl>
          Mereb Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231104
        </catValu>
        <labl>
          Merhabete Lowland Sorghum and teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231105
        </catValu>
        <labl>
          Middle Tekeze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231106
        </catValu>
        <labl>
          Midland Teff &amp; Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231107
        </catValu>
        <labl>
          Minjar teff and livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231108
        </catValu>
        <labl>
          Minjar teff and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231109
        </catValu>
        <labl>
          Moyale Agro-Pastoral, Labour &amp; Cross-Border Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231110
        </catValu>
        <labl>
          Moyale Cattle, Shoats &amp; Camel Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231111
        </catValu>
        <labl>
          Moyale-Wayamo Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231112
        </catValu>
        <labl>
          Muger-Abay-Jema Sorghum &amp; Teff Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231113
        </catValu>
        <labl>
          N Highland wheat, Barley &amp; Sheep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231114
        </catValu>
        <labl>
          Nadda-Gilgel Gibe Maize, Teff and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231115
        </catValu>
        <labl>
          Namalefan &amp; Baadu Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231116
        </catValu>
        <labl>
          Nejo-Dilla Teff, Finger Millet &amp; Nug
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231117
        </catValu>
        <labl>
          Nole-Meko-Diga Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231118
        </catValu>
        <labl>
          North East Woyna Dega Mixed Cereal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231119
        </catValu>
        <labl>
          North Shewa highland sheep and barley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231120
        </catValu>
        <labl>
          North Shewa Highland Wheat and Teff productive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231121
        </catValu>
        <labl>
          North Wollo East Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231122
        </catValu>
        <labl>
          North Wollo Highland Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231123
        </catValu>
        <labl>
          North-East Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231124
        </catValu>
        <labl>
          NorthWest Cash Crop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231125
        </catValu>
        <labl>
          NorthWest Sorghum Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231126
        </catValu>
        <labl>
          Omo River Flood Recession LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231127
        </catValu>
        <labl>
          Omo Valley Maize and Sorghum LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231128
        </catValu>
        <labl>
          Raya Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231129
        </catValu>
        <labl>
          Rift Valley Maize &amp; Horse Bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231130
        </catValu>
        <labl>
          Robe Chole Sude &amp; Seru Teff Maize Haricot Bean Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231131
        </catValu>
        <labl>
          Salamago Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231132
        </catValu>
        <labl>
          Selale-Ambo Highland Barley, Wheat and Horsebean belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231133
        </catValu>
        <labl>
          Shabelle Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231134
        </catValu>
        <labl>
          Sheka Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231135
        </catValu>
        <labl>
          Shinile Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231136
        </catValu>
        <labl>
          Shinile Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231137
        </catValu>
        <labl>
          Shirka Ticho Spice &amp; Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231138
        </catValu>
        <labl>
          Sidama Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231139
        </catValu>
        <labl>
          Sidama Maize Belt LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231140
        </catValu>
        <labl>
          Sidama-Gedeo Highland Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231141
        </catValu>
        <labl>
          Siraro Kofele Potato &amp; Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231142
        </catValu>
        <labl>
          Soddo Highland Wheat, Barley &amp; Enset
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231143
        </catValu>
        <labl>
          Sorghum, Maize &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231144
        </catValu>
        <labl>
          South East Woyna Dega Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231145
        </catValu>
        <labl>
          South Omo Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231146
        </catValu>
        <labl>
          South Omo Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231147
        </catValu>
        <labl>
          South West Maize, Finger Millet and Teff productive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231148
        </catValu>
        <labl>
          South West Woyna Dega wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231149
        </catValu>
        <labl>
          South Wollo &amp; Oromia Eastern lowland sorghum &amp; cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231150
        </catValu>
        <labl>
          South Wollo Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231151
        </catValu>
        <labl>
          South Wollo Meher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231152
        </catValu>
        <labl>
          South Wollo Meher and Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231153
        </catValu>
        <labl>
          Southern Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231154
        </catValu>
        <labl>
          Southern Agro-Pastoral Livelihood Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231155
        </catValu>
        <labl>
          Southern Cereal, Enset and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231156
        </catValu>
        <labl>
          Southern Special Woredas Lowland Cereal LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231157
        </catValu>
        <labl>
          Surma Agro-Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231158
        </catValu>
        <labl>
          Tana Zuria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231159
        </catValu>
        <labl>
          Tekeze Lowland Sorghum and Goats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231160
        </catValu>
        <labl>
          Teru Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231161
        </catValu>
        <labl>
          Tsirare Catchment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231162
        </catValu>
        <labl>
          Wellega Coffee, Maize &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231163
        </catValu>
        <labl>
          Wellega-Dedo Highland Wheat &amp; Barley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231164
        </catValu>
        <labl>
          Werie Catchment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231165
        </catValu>
        <labl>
          West Central Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231166
        </catValu>
        <labl>
          Western Cereal and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231167
        </catValu>
        <labl>
          Western Coffee and Spices LZ - Eastern sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231168
        </catValu>
        <labl>
          Western Coffee and Spices LZ - Western sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231169
        </catValu>
        <labl>
          Western Dry Kolla Sorghum, Maize &amp; Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231170
        </catValu>
        <labl>
          Western Forest Products LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231171
        </catValu>
        <labl>
          Wheat, Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231172
        </catValu>
        <labl>
          Wolayita Barley and Wheat LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231173
        </catValu>
        <labl>
          Wolayita Ginger and Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231174
        </catValu>
        <labl>
          Wolayita Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231175
        </catValu>
        <labl>
          Wuchale-Abichu-Kembebit Livestock, 'Wild Oats' &amp; Barley/Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231176
        </catValu>
        <labl>
          Yem Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231999
        </catValu>
        <labl>
          No Data
        </labl>
      </catgry>
      <catgry>
        <catValu>
          562999
        </catValu>
        <labl>
          Not Zoned (Desert)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834999
        </catValu>
        <labl>
          Not Zoned
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2676" name="C_CROPLAND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Proportion of land area used for agriculture
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CROPLAND reports the proportion of land that is planted in crops, for a 10 kilometer circular buffer around each DHS cluster location. The statistics reported in CROPLAND are based on agricultural censuses and remotely sensed imagery circa 2000. CROPLAND is available for every IPUMS-DHS sample with GPS data. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: CROPLAND [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2677" name="C_PASTURELAND" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Proportion of land area used for pastureland
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PASTURELAND reports the proportion of land that is used as pasture, for a 10 kilometer circular buffer around each DHS cluster location. The pasture area statistics reported in PASTURELAND are based on agricultural censuses and remotely sensed imagery circa 2000. PASTURELAND is available for every IPUMS-DHS sample with GPS data. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: PASTURELAND [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2678" name="C_NDVI" files="F2" dcml="0" intrvl="contin">
      <labl>
        NDVI monthly time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI consists of a set of 72 variables. These variables report the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. NDVI values range from 0 to 1. 
  
By adding NDVI to your data cart, you are in effect adding 72 separate variables:

The 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., NDVI_01 is the maximum NDVI in the month before the survey start date; NDVI_60 is the maximum NDVI in the 60th month before the survey start date).
The month of the survey start date (NDVI_00)
The 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., NDVI_A01 is the maximum NDVI in the month following the month of the survey start date).
 

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        NDVI variables are numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2679" name="C_NDVI_60" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 60 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2680" name="C_NDVI_59" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 59 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2681" name="C_NDVI_58" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 58 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2682" name="C_NDVI_57" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 57 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2683" name="C_NDVI_56" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 56 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2684" name="C_NDVI_55" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 55 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2685" name="C_NDVI_54" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 54 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2686" name="C_NDVI_53" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 53 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2687" name="C_NDVI_52" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 52 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2688" name="C_NDVI_51" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 51 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2689" name="C_NDVI_50" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 50 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2690" name="C_NDVI_49" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 49 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2691" name="C_NDVI_48" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 48 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2692" name="C_NDVI_47" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 47 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2693" name="C_NDVI_46" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 46 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2694" name="C_NDVI_45" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 45 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2695" name="C_NDVI_44" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 44 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2696" name="C_NDVI_43" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 43 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2697" name="C_NDVI_42" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 42 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2698" name="C_NDVI_41" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 41 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2699" name="C_NDVI_40" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 40 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2700" name="C_NDVI_39" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 39 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2701" name="C_NDVI_38" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 38 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2702" name="C_NDVI_37" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 37 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2703" name="C_NDVI_36" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 36 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2704" name="C_NDVI_35" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 35 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2705" name="C_NDVI_34" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 34 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2706" name="C_NDVI_33" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 33 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2707" name="C_NDVI_32" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 32 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2708" name="C_NDVI_31" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 31 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2709" name="C_NDVI_30" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 30 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2710" name="C_NDVI_29" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 29 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2711" name="C_NDVI_28" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 28 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2712" name="C_NDVI_27" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 27 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2713" name="C_NDVI_26" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 26 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2714" name="C_NDVI_25" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 25 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2715" name="C_NDVI_24" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 24 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2716" name="C_NDVI_23" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 23 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2717" name="C_NDVI_22" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 22 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2718" name="C_NDVI_21" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 21 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2719" name="C_NDVI_20" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 20 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2720" name="C_NDVI_19" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 19 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2721" name="C_NDVI_18" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 18 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2722" name="C_NDVI_17" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 17 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2723" name="C_NDVI_16" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 16 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2724" name="C_NDVI_15" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 15 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2725" name="C_NDVI_14" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 14 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2726" name="C_NDVI_13" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 13 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2727" name="C_NDVI_12" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 12 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2728" name="C_NDVI_11" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 11 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2729" name="C_NDVI_10" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 10 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2730" name="C_NDVI_09" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 9 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2731" name="C_NDVI_08" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 8 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2732" name="C_NDVI_07" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 7 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2733" name="C_NDVI_06" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 6 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2734" name="C_NDVI_05" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 5 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2735" name="C_NDVI_04" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 4 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2736" name="C_NDVI_03" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 3 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2737" name="C_NDVI_02" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 2 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2738" name="C_NDVI_01" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 1 month before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2739" name="C_NDVI_00" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI month of survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2740" name="C_NDVI_A01" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 1 month after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2741" name="C_NDVI_A02" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 2 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2742" name="C_NDVI_A03" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 3 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2743" name="C_NDVI_A04" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 4 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2744" name="C_NDVI_A05" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 5 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2745" name="C_NDVI_A06" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 6 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2746" name="C_NDVI_A07" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 7 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2747" name="C_NDVI_A08" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 8 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2748" name="C_NDVI_A09" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 9 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2749" name="C_NDVI_A10" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 10 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2750" name="C_NDVI_A11" files="F2" dcml="0" intrvl="discrete">
      <labl>
        NDVI 11 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2751" name="C_NDVI_AVG" files="F2" dcml="0" intrvl="contin">
      <labl>
        Average monthly NDVI (January - December)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_AVG consists of a set of 12 variables. These variables report the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster during each calendar month (January through December), averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. NDVI values range from 0 to 1. 
  
By adding NDVI_AVG to your data cart, you are in effect adding 12 separate variables (NDVI_JAN - NDVI_DEC), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        NDVI_AVG variables are numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2752" name="C_NDVI_JAN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average January NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JAN reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during January, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2753" name="C_NDVI_FEB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average February NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_FEB reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during February, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2754" name="C_NDVI_MAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average March NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_MAR reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during March, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2755" name="C_NDVI_APR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average April NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_APR reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during April, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2756" name="C_NDVI_MAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average May NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_MAY reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during May, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2757" name="C_NDVI_JUN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average June NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JUN reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during June, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2758" name="C_NDVI_JUL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average July NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JUL reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during July, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2759" name="C_NDVI_AUG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average August NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_AUG reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during August, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2760" name="C_NDVI_SEP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average September NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_SEP reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during September, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2761" name="C_NDVI_OCT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average October NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_OCT reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during October, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2762" name="C_NDVI_NOV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average November NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_NOV reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during November, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2763" name="C_NDVI_DEC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average December NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_DEC reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during December, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2764" name="C_PRECIP" files="F2" dcml="0" intrvl="contin">
      <labl>
        Precipitation monthly time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP consists of a set of 72 separate variables. These variables report the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. 
 
By adding PRECIP to your data cart, you are in effect adding 72 separate variables:

The 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., PRECIP_01 is the average precipitation in the month before the survey start date; PRECIP_60 is the average precipitation in the 60th month before the survey start date).
The month of the survey start date (PRECIP_00)
The 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., PRECIP_A01 is the average precipitation in the month following the month of the survey start date).
 

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        PRECIP variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2765" name="C_PRECIP_60" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 60 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2766" name="C_PRECIP_59" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 59 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2767" name="C_PRECIP_58" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 58 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2768" name="C_PRECIP_57" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 57 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2769" name="C_PRECIP_56" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 56 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2770" name="C_PRECIP_55" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 55 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2771" name="C_PRECIP_54" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 54 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2772" name="C_PRECIP_53" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 53 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2773" name="C_PRECIP_52" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 52 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2774" name="C_PRECIP_51" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 51 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2775" name="C_PRECIP_50" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 50 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2776" name="C_PRECIP_49" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 49 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2777" name="C_PRECIP_48" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 48 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2778" name="C_PRECIP_47" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 47 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2779" name="C_PRECIP_46" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 46 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2780" name="C_PRECIP_45" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 45 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2781" name="C_PRECIP_44" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 44 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2782" name="C_PRECIP_43" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 43 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2783" name="C_PRECIP_42" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 42 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2784" name="C_PRECIP_41" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 41 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2785" name="C_PRECIP_40" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 40 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2786" name="C_PRECIP_39" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 39 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2787" name="C_PRECIP_38" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 38 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2788" name="C_PRECIP_37" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 37 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2789" name="C_PRECIP_36" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 36 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2790" name="C_PRECIP_35" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 35 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2791" name="C_PRECIP_34" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 34 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2792" name="C_PRECIP_33" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 33 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2793" name="C_PRECIP_32" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 32 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2794" name="C_PRECIP_31" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 31 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2795" name="C_PRECIP_30" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 30 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2796" name="C_PRECIP_29" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 29 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2797" name="C_PRECIP_28" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 28 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2798" name="C_PRECIP_27" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 27 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2799" name="C_PRECIP_26" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 26 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2800" name="C_PRECIP_25" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 25 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2801" name="C_PRECIP_24" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 24 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2802" name="C_PRECIP_23" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 23 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2803" name="C_PRECIP_22" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 22 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2804" name="C_PRECIP_21" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 21 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2805" name="C_PRECIP_20" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 20 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2806" name="C_PRECIP_19" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 19 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2807" name="C_PRECIP_18" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 18 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2808" name="C_PRECIP_17" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 17 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2809" name="C_PRECIP_16" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 16 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2810" name="C_PRECIP_15" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 15 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2811" name="C_PRECIP_14" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 14 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2812" name="C_PRECIP_13" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 13 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2813" name="C_PRECIP_12" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 12 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2814" name="C_PRECIP_11" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 11 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2815" name="C_PRECIP_10" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 10 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2816" name="C_PRECIP_09" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 9 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2817" name="C_PRECIP_08" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 8 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2818" name="C_PRECIP_07" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 7 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2819" name="C_PRECIP_06" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 6 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2820" name="C_PRECIP_05" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 5 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2821" name="C_PRECIP_04" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 4 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2822" name="C_PRECIP_03" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 3 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2823" name="C_PRECIP_02" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 2 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2824" name="C_PRECIP_01" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 1 month before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2825" name="C_PRECIP_00" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation month of survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2826" name="C_PRECIP_A01" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 1 month after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2827" name="C_PRECIP_A02" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 2 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2828" name="C_PRECIP_A03" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 3 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2829" name="C_PRECIP_A04" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 4 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2830" name="C_PRECIP_A05" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 5 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2831" name="C_PRECIP_A06" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 6 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2832" name="C_PRECIP_A07" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 7 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2833" name="C_PRECIP_A08" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 8 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2834" name="C_PRECIP_A09" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 9 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2835" name="C_PRECIP_A10" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 10 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2836" name="C_PRECIP_A11" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 11 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2837" name="C_PRECIP_AVG" files="F2" dcml="0" intrvl="contin">
      <labl>
        Average monthly precipitation (January - December)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_AVG consists of a set of 12 separate variables. These variables report the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location, during each calendar month (January through December), averaged over the 1981-2016 timeframe.

By adding PRECIP_AVG to your data cart, you are in effect adding 12 separate variables (PRECIP_JAN - PRECIP_DEC), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        PRECIP_AVG variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2838" name="C_PRECIP_JAN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average January precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JAN reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during January, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2839" name="C_PRECIP_FEB" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average February precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_FEB reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during February, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2840" name="C_PRECIP_MAR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average March precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_MAR reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during March, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2841" name="C_PRECIP_APR" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average April precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_APR reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during April, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2842" name="C_PRECIP_MAY" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average May precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_MAY reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during May, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2843" name="C_PRECIP_JUN" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average June precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JUN reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during June, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2844" name="C_PRECIP_JUL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average July precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JUL reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during July, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2845" name="C_PRECIP_AUG" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average August precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_AUG reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during August, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2846" name="C_PRECIP_SEP" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average September precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_SEP reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during September, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2847" name="C_PRECIP_OCT" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average October precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_OCT reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during October, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2848" name="C_PRECIP_NOV" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average November precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_NOV reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during November, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2849" name="C_PRECIP_DEC" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average December precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_DEC reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during December, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2850" name="C_PRECIP_ANNUAL" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Average Annual precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_ANNUAL reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location annually, averaged over the 1981-2016 timeframe. 

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2851" name="C_POPDENSITY" files="F2" dcml="0" intrvl="contin">
      <labl>
        Population density quinquennial time-series (2000-2020)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY consists of a set of 5 variables. These variables report the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000, 2005, 2010, 2015, and 2020. POPDENSITY variables are available for every IPUMS-DHS sample with GPS data. POPDENSITY variables can be used as indicators of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY are based on population projections from the results of the 2000 and 2010 rounds of censuses.
 
By adding POPDENSITY to your data cart, you are in effect adding 5 separate variables (POPDENSITY_2000 - POPDENSITY_2020), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <codInstr>
        POPDENSITY variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2852" name="C_POPDENSITY_2000" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Population density 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2000 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2000 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2000 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2000  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2853" name="C_POPDENSITY_2005" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Population density 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2005 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2005. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2005 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2005 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2005  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2854" name="C_POPDENSITY_2010" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Population density 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2010 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2010. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2010 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2010 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2010  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2855" name="C_POPDENSITY_2015" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Population density 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2015 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2015. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2015 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2015 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2015  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2856" name="C_POPDENSITY_2020" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Population density 2020
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2020 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2020. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2020 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2020 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY_2020 are based on population projections from the results of the 2010 round of censuses, which occurred between 2005 and 2014.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2020  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2857" name="C_BATTLES" files="F2" dcml="0" intrvl="contin">
      <labl>
        Battles annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BATTLES consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of battles within a 10 kilometer circular buffer around each DHS cluster location, by year. BATTLES data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding BATTLES to your data cart, you are in effect adding 20 separate variables (BATTLES_1997 - BATTLES_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        BATTLES variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2858" name="C_BATTLES_1997" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2859" name="C_BATTLES_1998" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2860" name="C_BATTLES_1999" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2861" name="C_BATTLES_2000" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2862" name="C_BATTLES_2001" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2863" name="C_BATTLES_2002" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2864" name="C_BATTLES_2003" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2865" name="C_BATTLES_2004" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2866" name="C_BATTLES_2005" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2867" name="C_BATTLES_2006" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2868" name="C_BATTLES_2007" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2869" name="C_BATTLES_2008" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2870" name="C_BATTLES_2009" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2871" name="C_BATTLES_2010" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2872" name="C_BATTLES_2011" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2873" name="C_BATTLES_2012" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2874" name="C_BATTLES_2013" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2875" name="C_BATTLES_2014" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2876" name="C_BATTLES_2015" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2877" name="C_BATTLES_2016" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2878" name="C_RIOTS" files="F2" dcml="0" intrvl="contin">
      <labl>
        Riots annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RIOTS consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of riots or protests within a 10 kilometer circular buffer around each DHS cluster location, by year. RIOTS data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding RIOTS to your data cart, you are in effect adding 20 separate variables (RIOTS_1997 - RIOTS_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        RIOTS variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2879" name="C_RIOTS_1997" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2880" name="C_RIOTS_1998" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2881" name="C_RIOTS_1999" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2882" name="C_RIOTS_2000" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2883" name="C_RIOTS_2001" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2884" name="C_RIOTS_2002" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2885" name="C_RIOTS_2003" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2886" name="C_RIOTS_2004" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2887" name="C_RIOTS_2005" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2888" name="C_RIOTS_2006" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2889" name="C_RIOTS_2007" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2890" name="C_RIOTS_2008" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2891" name="C_RIOTS_2009" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2892" name="C_RIOTS_2010" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2893" name="C_RIOTS_2011" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2894" name="C_RIOTS_2012" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2895" name="C_RIOTS_2013" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2896" name="C_RIOTS_2014" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2897" name="C_RIOTS_2015" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2898" name="C_RIOTS_2016" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2899" name="C_CIV_VIOLENCE" files="F2" dcml="0" intrvl="contin">
      <labl>
        Violence against civilians annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CIV_VIOLENCE consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of acts of violence against civilians by an armed or violent group within a 10 kilometer circular buffer around each DHS cluster location, by year. CIV_VIOLENCE data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding CIV_VIOLENCE to your data cart, you are in effect adding 20 separate variables (CIV_VIOLENCE_1997 - CIV_VIOLENCE_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        CIV_VIOLENCE variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2900" name="C_CIV_VIOLENCE_1997" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2901" name="C_CIV_VIOLENCE_1998" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2902" name="C_CIV_VIOLENCE_1999" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2903" name="C_CIV_VIOLENCE_2000" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2904" name="C_CIV_VIOLENCE_2001" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2905" name="C_CIV_VIOLENCE_2002" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2906" name="C_CIV_VIOLENCE_2003" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2907" name="C_CIV_VIOLENCE_2004" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2908" name="C_CIV_VIOLENCE_2005" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2909" name="C_CIV_VIOLENCE_2006" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2910" name="C_CIV_VIOLENCE_2007" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2911" name="C_CIV_VIOLENCE_2008" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2912" name="C_CIV_VIOLENCE_2009" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2913" name="C_CIV_VIOLENCE_2010" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2914" name="C_CIV_VIOLENCE_2011" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2915" name="C_CIV_VIOLENCE_2012" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2916" name="C_CIV_VIOLENCE_2013" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2917" name="C_CIV_VIOLENCE_2014" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2918" name="C_CIV_VIOLENCE_2015" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2919" name="C_CIV_VIOLENCE_2016" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2920" name="C_MALARIA" files="F2" dcml="0" intrvl="contin">
      <labl>
        Malaria incidence rate annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MALARIA consists of a set of 16 separate variables, covering each year from 2000 to 2015. The variables report the mean clinical Plasmodium falciparium malaria cases per person within a 10 kilometer circular buffer around each DHS cluster location, by year. MALARIA is available for a subset of the IPUMS-DHS samples with GPS data. 
 
By adding MALARIA to your data cart, you are in effect adding 16 separate variables (MALARIA_2000 - MALARIA_2015), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Malaria  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        MALARIA variables are 4-digit numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2921" name="C_MALARIA_2000" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2922" name="C_MALARIA_2001" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2923" name="C_MALARIA_2002" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2924" name="C_MALARIA_2003" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2925" name="C_MALARIA_2004" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2926" name="C_MALARIA_2005" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2927" name="C_MALARIA_2006" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2928" name="C_MALARIA_2007" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2929" name="C_MALARIA_2008" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2930" name="C_MALARIA_2009" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2931" name="C_MALARIA_2010" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2932" name="C_MALARIA_2011" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2933" name="C_MALARIA_2012" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2934" name="C_MALARIA_2013" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2935" name="C_MALARIA_2014" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2936" name="C_MALARIA_2015" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2937" name="C_BARLEY_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area barley
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BARLEY_H reports total harvested area dedicated to barley, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in BARLEY_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2938" name="C_CASSAVA_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area cassava
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CASSAVA_H reports total harvested area dedicated to cassava, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in CASSAVA_H are based on agricultural censuses and remotely sensed imagery circa 2000. CASSAVA_H is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2939" name="C_COTTON_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area cotton
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COTTON_H reports total harvested area dedicated to cotton, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in COTTON_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2940" name="C_GROUNDNUT_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area groundnut
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GROUNDNUTS_H reports total harvested area dedicated to groundnuts, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in GROUNDNUTS_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2941" name="C_MAIZE_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area maize
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAIZE_H reports total harvested area dedicated to maize, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in MAIZE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2942" name="C_MILLET_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area millet
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MILLET_H reports total harvested area dedicated to millet, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in MILLET_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2943" name="C_OILPALM_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area oilpalm
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OILPALM_H reports total harvested area dedicated to oil palm, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in OILPALM_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2944" name="C_POTATO_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area potato
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POTATO_H reports total harvested area dedicated to potatoes, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in POTATO_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2945" name="C_RAPESEED_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rapeseed
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RAPESEED_H reports total harvested area dedicated to rapeseed, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RAPESEED_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2946" name="C_RICE_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rice
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RICE_H reports total harvested area dedicated to rice, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RICE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2947" name="C_SORGHUM_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sorghum
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SORGHUM_H reports total harvested area dedicated to sorghum, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SORGHUM_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2948" name="C_SOYBEAN_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area soybean
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOYBEANS_H reports total harvested area dedicated to soybeans, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SOYBEANS_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2949" name="C_SUGARBEET_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sugarbeet
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARBEET_H reports total harvested area dedicated to sugar beets, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARBEET_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2950" name="C_SUGARCANE_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sugarcane
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARCANE_H reports total harvested area dedicated to sugar cane, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARCANE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2951" name="C_SUNFLOWER_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sunflower
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUNFLOWER_H reports total harvested area dedicated to sunflowers, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUNFLOWER_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2952" name="C_WHEAT_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area wheat
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHEAT_H reports total harvested area dedicated to wheat, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in WHEAT_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2953" name="C_RYE_H" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rye
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RYE_H reports total harvested area dedicated to rye, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RYE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2954" name="C_BARLEY_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total barley production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BARLEY_P reports total crop production of barley, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in BARLEY_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2955" name="C_CASSAVA_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total cassava production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CASSAVA_P reports total crop production of cassava, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in CASSAVA_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2956" name="C_COTTON_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total cotton production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COTTON_P reports total crop production of cotton, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in COTTON_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2957" name="C_GROUNDNUT_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total groundnut production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GROUNDNUTS_P reports total crop production of groundnuts, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in GROUNDNUTS_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2958" name="C_MAIZE_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total maize production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAIZE_P reports total crop production of maize, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MAIZE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2959" name="C_MILLET_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total millet production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MILLET_P reports total crop production of millet, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MILLET_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2960" name="C_OILPALM_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total oilpalm production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OILPALM_P reports total crop production of oil palm, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in OILPALM_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2961" name="C_POTATO_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total potato production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POTATO_P reports total crop production of potatoes, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in POTATO_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2962" name="C_RAPESEED_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total rapeseed production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RAPESEED_P reports total crop production of rapeseed, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RAPESEED_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2963" name="C_RICE_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total rice production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RICE_P reports total crop production of rice, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RICE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2964" name="C_SORGHUM_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total sorghum production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SORGHUM_P reports total crop production of sorghum, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SORGHUM_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2965" name="C_SOYBEAN_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total soybean production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOYBEAN_P reports total crop production of soybeans, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SOYBEAN_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2966" name="C_SUGARBEET_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total sugarbeet production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARBEET_P reports total crop production of sugar beets, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARBEET_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2967" name="C_SUGARCANE_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total sugarcane production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARCANE_P reports total crop production of sugarcane, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARCANE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2968" name="C_SUNFLOWER_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total sunflower production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUNFLOWER_P reports total crop production of sunflowers, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUNFLOWER_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2969" name="C_WHEAT_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total wheat production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHEAT_P reports total crop production of wheat, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in WHEAT_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2970" name="C_RYE_P" files="F2" dcml="0" intrvl="discrete">
      <labl>
        Total rye production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RYE_P reports total crop production of rye, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RYE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2971" name="B_SAMPLE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        IPUMS-DHS sample identifier
      </labl>
      <valrng>
        <range UNITS="REAL" min="11" max="8945"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SAMPLE identifies the DHS sample from which the case is drawn.  Each sample receives a unique 4-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last digit identifies the sample within the country, ordered by survey year.

The related variable SAMPLESTR is a string variable that identifies the DHS sample with the same 4-digit code.]]>
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Model 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Afghanistan 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Bangladesh 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Bangladesh 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Bangladesh 1999-00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Bangladesh 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Bangladesh 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          Bangladesh 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          507
        </catValu>
        <labl>
          Bangladesh 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1041
        </catValu>
        <labl>
          Myanmar 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1081
        </catValu>
        <labl>
          Burundi 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1082
        </catValu>
        <labl>
          Burundi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1161
        </catValu>
        <labl>
          Cambodia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1162
        </catValu>
        <labl>
          Cambodia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1163
        </catValu>
        <labl>
          Cambodia 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1164
        </catValu>
        <labl>
          Cambodia 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Cameroon 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Cameroon 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Cameroon 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Cameroon 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1481
        </catValu>
        <labl>
          Chad 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1482
        </catValu>
        <labl>
          Chad 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1483
        </catValu>
        <labl>
          Chad 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Congo Democratic Republic 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Congo Democratic Republic 2013-14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2041
        </catValu>
        <labl>
          Benin 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2042
        </catValu>
        <labl>
          Benin 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2043
        </catValu>
        <labl>
          Benin 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2044
        </catValu>
        <labl>
          Benin 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Ethiopia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Ethiopia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Ethiopia 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Ethiopia 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2881
        </catValu>
        <labl>
          Ghana 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2882
        </catValu>
        <labl>
          Ghana 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2883
        </catValu>
        <labl>
          Ghana 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2884
        </catValu>
        <labl>
          Ghana 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2885
        </catValu>
        <labl>
          Ghana 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2886
        </catValu>
        <labl>
          Ghana 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Guatemala 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Guatemala 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Guatemala 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3241
        </catValu>
        <labl>
          Guinea 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Guinea 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3243
        </catValu>
        <labl>
          Guinea 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3561
        </catValu>
        <labl>
          India 1992-93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3562
        </catValu>
        <labl>
          India 1998-99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3563
        </catValu>
        <labl>
          India 2005-06
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3564
        </catValu>
        <labl>
          India 2015-16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3841
        </catValu>
        <labl>
          Cote d'Ivoire 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3842
        </catValu>
        <labl>
          Cote d'Ivoire 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3843
        </catValu>
        <labl>
          Cote d'Ivoire 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4041
        </catValu>
        <labl>
          Kenya 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4042
        </catValu>
        <labl>
          Kenya 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <labl>
          Kenya 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4044
        </catValu>
        <labl>
          Kenya 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4045
        </catValu>
        <labl>
          Kenya 2008-9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4046
        </catValu>
        <labl>
          Kenya 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4261
        </catValu>
        <labl>
          Lesotho 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4262
        </catValu>
        <labl>
          Lesotho 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4263
        </catValu>
        <labl>
          Lesotho 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Madagascar 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          Madagascar 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Madagascar 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Madagascar 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4541
        </catValu>
        <labl>
          Malawi 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4542
        </catValu>
        <labl>
          Malawi 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4543
        </catValu>
        <labl>
          Malawi 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4544
        </catValu>
        <labl>
          Malawi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4545
        </catValu>
        <labl>
          Malawi 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4661
        </catValu>
        <labl>
          Mali 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4662
        </catValu>
        <labl>
          Mali 1995-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4663
        </catValu>
        <labl>
          Mali 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4664
        </catValu>
        <labl>
          Mali 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4665
        </catValu>
        <labl>
          Mali 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5041
        </catValu>
        <labl>
          Morocco 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5042
        </catValu>
        <labl>
          Morocco 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5043
        </catValu>
        <labl>
          Morocco 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5081
        </catValu>
        <labl>
          Mozambique 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5082
        </catValu>
        <labl>
          Mozambique 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5083
        </catValu>
        <labl>
          Mozambique 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5161
        </catValu>
        <labl>
          Namibia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5162
        </catValu>
        <labl>
          Namibia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5163
        </catValu>
        <labl>
          Namibia 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5164
        </catValu>
        <labl>
          Namibia 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5241
        </catValu>
        <labl>
          Nepal 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5242
        </catValu>
        <labl>
          Nepal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5243
        </catValu>
        <labl>
          Nepal 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5244
        </catValu>
        <labl>
          Nepal 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5621
        </catValu>
        <labl>
          Niger 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5622
        </catValu>
        <labl>
          Niger 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5623
        </catValu>
        <labl>
          Niger 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5624
        </catValu>
        <labl>
          Niger 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5661
        </catValu>
        <labl>
          Nigeria 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5662
        </catValu>
        <labl>
          Nigeria 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5663
        </catValu>
        <labl>
          Nigeria 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5664
        </catValu>
        <labl>
          Nigeria 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5665
        </catValu>
        <labl>
          Nigeria 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5861
        </catValu>
        <labl>
          Pakistan 1990-91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5862
        </catValu>
        <labl>
          Pakistan 2006-07
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5863
        </catValu>
        <labl>
          Pakistan 2012-13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6041
        </catValu>
        <labl>
          Peru 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6042
        </catValu>
        <labl>
          Peru 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6043
        </catValu>
        <labl>
          Peru 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6044
        </catValu>
        <labl>
          Peru 2004-08
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6045
        </catValu>
        <labl>
          Peru 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6046
        </catValu>
        <labl>
          Peru 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6047
        </catValu>
        <labl>
          Peru 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6461
        </catValu>
        <labl>
          Rwanda 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6462
        </catValu>
        <labl>
          Rwanda 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6463
        </catValu>
        <labl>
          Rwanda 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6464
        </catValu>
        <labl>
          Rwanda 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6465
        </catValu>
        <labl>
          Rwanda 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6861
        </catValu>
        <labl>
          Senegal 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6862
        </catValu>
        <labl>
          Senegal 1992-93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6863
        </catValu>
        <labl>
          Senegal 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6864
        </catValu>
        <labl>
          Senegal 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6865
        </catValu>
        <labl>
          Senegal 2010-11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6866
        </catValu>
        <labl>
          Senegal 2012-13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6867
        </catValu>
        <labl>
          Senegal 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6868
        </catValu>
        <labl>
          Senegal 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6869
        </catValu>
        <labl>
          Senegal 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7101
        </catValu>
        <labl>
          South Africa 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Zimbabwe 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Zimbabwe 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Zimbabwe 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Zimbabwe 2005-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Zimbabwe 2010-11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Zimbabwe 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7291
        </catValu>
        <labl>
          Sudan 1989-90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7881
        </catValu>
        <labl>
          Tunisia 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7921
        </catValu>
        <labl>
          Turkey 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7922
        </catValu>
        <labl>
          Turkey 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7923
        </catValu>
        <labl>
          Turkey 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          Uganda 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Uganda 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8003
        </catValu>
        <labl>
          Uganda 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8004
        </catValu>
        <labl>
          Uganda 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8005
        </catValu>
        <labl>
          Uganda 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8006
        </catValu>
        <labl>
          Uganda 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8181
        </catValu>
        <labl>
          Egypt 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8182
        </catValu>
        <labl>
          Egypt 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8183
        </catValu>
        <labl>
          Egypt 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8184
        </catValu>
        <labl>
          Egypt 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8185
        </catValu>
        <labl>
          Egypt 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8186
        </catValu>
        <labl>
          Egypt 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8187
        </catValu>
        <labl>
          Egypt 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8341
        </catValu>
        <labl>
          Tanzania 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8342
        </catValu>
        <labl>
          Tanzania 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8343
        </catValu>
        <labl>
          Tanzania 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8344
        </catValu>
        <labl>
          Tanzania 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8345
        </catValu>
        <labl>
          Tanzania 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8346
        </catValu>
        <labl>
          Tanzania 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8541
        </catValu>
        <labl>
          Burkina Faso 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8542
        </catValu>
        <labl>
          Burkina Faso 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8543
        </catValu>
        <labl>
          Burkina Faso 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8544
        </catValu>
        <labl>
          Burkina Faso 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8871
        </catValu>
        <labl>
          Yemen 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8872
        </catValu>
        <labl>
          Yemen 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8941
        </catValu>
        <labl>
          Zambia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8942
        </catValu>
        <labl>
          Zambia 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8943
        </catValu>
        <labl>
          Zambia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8944
        </catValu>
        <labl>
          Zambia 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8945
        </catValu>
        <labl>
          Zambia 2013
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2972" name="B_SAMPLESTR" files="F3" intrvl="discrete">
      <location width="8"/>
      <labl>
        IPUMS-DHS sample identifier (string)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SAMPLESTR is a string variable that identifies the DHS sample from which the case is drawn.  Each sample receives a unique 4-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last digit identifies the sample within the country, ordered by survey year.

The related variable SAMPLE is a numeric variable that identifies the DHS sample with the same 4-digit code.]]>
      </txt>
      <catgry>
        <catValu>
          0011
        </catValu>
        <labl>
          Model 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0041
        </catValu>
        <labl>
          Afghanistan 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0501
        </catValu>
        <labl>
          Bangladesh 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0502
        </catValu>
        <labl>
          Bangladesh 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0503
        </catValu>
        <labl>
          Bangladesh 1999-00
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0504
        </catValu>
        <labl>
          Bangladesh 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0505
        </catValu>
        <labl>
          Bangladesh 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0506
        </catValu>
        <labl>
          Bangladesh 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          0507
        </catValu>
        <labl>
          Bangladesh 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1041
        </catValu>
        <labl>
          Myanmar 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1081
        </catValu>
        <labl>
          Burundi 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1082
        </catValu>
        <labl>
          Burundi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1161
        </catValu>
        <labl>
          Cambodia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1162
        </catValu>
        <labl>
          Cambodia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1163
        </catValu>
        <labl>
          Cambodia 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1164
        </catValu>
        <labl>
          Cambodia 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Cameroon 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Cameroon 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Cameroon 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Cameroon 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1481
        </catValu>
        <labl>
          Chad 1996-97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1482
        </catValu>
        <labl>
          Chad 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1483
        </catValu>
        <labl>
          Chad 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Congo Democratic Republic 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Congo Democratic Republic 2013-14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2041
        </catValu>
        <labl>
          Benin 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2042
        </catValu>
        <labl>
          Benin 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2043
        </catValu>
        <labl>
          Benin 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2044
        </catValu>
        <labl>
          Benin 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Ethiopia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Ethiopia 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Ethiopia 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Ethiopia 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2881
        </catValu>
        <labl>
          Ghana 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2882
        </catValu>
        <labl>
          Ghana 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2883
        </catValu>
        <labl>
          Ghana 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2884
        </catValu>
        <labl>
          Ghana 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2885
        </catValu>
        <labl>
          Ghana 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2886
        </catValu>
        <labl>
          Ghana 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3201
        </catValu>
        <labl>
          Guatemala 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3202
        </catValu>
        <labl>
          Guatemala 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3203
        </catValu>
        <labl>
          Guatemala 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3241
        </catValu>
        <labl>
          Guinea 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Guinea 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3243
        </catValu>
        <labl>
          Guinea 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3561
        </catValu>
        <labl>
          India 1992-3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3562
        </catValu>
        <labl>
          India 1998-9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3563
        </catValu>
        <labl>
          India 2005-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3564
        </catValu>
        <labl>
          India 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3841
        </catValu>
        <labl>
          Cote d'Ivoire 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3842
        </catValu>
        <labl>
          Cote d'Ivoire 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3843
        </catValu>
        <labl>
          Cote d'Ivoire 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4041
        </catValu>
        <labl>
          Kenya 1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4042
        </catValu>
        <labl>
          Kenya 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <labl>
          Kenya 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4044
        </catValu>
        <labl>
          Kenya 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4045
        </catValu>
        <labl>
          Kenya 2008-9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4046
        </catValu>
        <labl>
          Kenya 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4261
        </catValu>
        <labl>
          Lesotho 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4262
        </catValu>
        <labl>
          Lesotho 2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4263
        </catValu>
        <labl>
          Lesotho 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Madagascar 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          Madagascar 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Madagascar 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Madagascar 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4541
        </catValu>
        <labl>
          Malawi 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4542
        </catValu>
        <labl>
          Malawi 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4543
        </catValu>
        <labl>
          Malawi 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4544
        </catValu>
        <labl>
          Malawi 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4545
        </catValu>
        <labl>
          Malawi 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4661
        </catValu>
        <labl>
          Mali 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4662
        </catValu>
        <labl>
          Mali 1995-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4663
        </catValu>
        <labl>
          Mali 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4664
        </catValu>
        <labl>
          Mali 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4665
        </catValu>
        <labl>
          Mali 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5041
        </catValu>
        <labl>
          Morocco 1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5042
        </catValu>
        <labl>
          Morocco 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5043
        </catValu>
        <labl>
          Morocco 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5081
        </catValu>
        <labl>
          Mozambique 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5082
        </catValu>
        <labl>
          Mozambique 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5083
        </catValu>
        <labl>
          Mozambique 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5161
        </catValu>
        <labl>
          Namibia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5162
        </catValu>
        <labl>
          Namibia 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5163
        </catValu>
        <labl>
          Namibia 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5164
        </catValu>
        <labl>
          Namibia 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5241
        </catValu>
        <labl>
          Nepal 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5242
        </catValu>
        <labl>
          Nepal 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5243
        </catValu>
        <labl>
          Nepal 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5244
        </catValu>
        <labl>
          Nepal 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5621
        </catValu>
        <labl>
          Niger 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5622
        </catValu>
        <labl>
          Niger 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5623
        </catValu>
        <labl>
          Niger 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5624
        </catValu>
        <labl>
          Niger 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5661
        </catValu>
        <labl>
          Nigeria 1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5662
        </catValu>
        <labl>
          Nigeria 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5663
        </catValu>
        <labl>
          Nigeria 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5664
        </catValu>
        <labl>
          Nigeria 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5665
        </catValu>
        <labl>
          Nigeria 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5861
        </catValu>
        <labl>
          Pakistan 1990-91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5862
        </catValu>
        <labl>
          Pakistan 2006-07
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5863
        </catValu>
        <labl>
          Pakistan 2012-13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6041
        </catValu>
        <labl>
          Peru 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6042
        </catValu>
        <labl>
          Peru 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6043
        </catValu>
        <labl>
          Peru 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6044
        </catValu>
        <labl>
          Peru 2004-08
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6045
        </catValu>
        <labl>
          Peru 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6046
        </catValu>
        <labl>
          Peru 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6047
        </catValu>
        <labl>
          Peru 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6461
        </catValu>
        <labl>
          Rwanda1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6462
        </catValu>
        <labl>
          Rwanda 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6463
        </catValu>
        <labl>
          Rwanda 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6464
        </catValu>
        <labl>
          Rwanda 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6465
        </catValu>
        <labl>
          Rwanda 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6861
        </catValu>
        <labl>
          Senegal 1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6862
        </catValu>
        <labl>
          Senegal 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6863
        </catValu>
        <labl>
          Senegal 1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6864
        </catValu>
        <labl>
          Senegal 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6865
        </catValu>
        <labl>
          Senegal 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6866
        </catValu>
        <labl>
          Senegal 2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6867
        </catValu>
        <labl>
          Senegal 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6868
        </catValu>
        <labl>
          Senegal 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6869
        </catValu>
        <labl>
          Senegal 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7101
        </catValu>
        <labl>
          South Africa 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Zimbabwe 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Zimbabwe 1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Zimbabwe 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Zimbabwe 2005-6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Zimbabwe 2010-11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Zimbabwe 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7291
        </catValu>
        <labl>
          Sudan 1989-90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7881
        </catValu>
        <labl>
          Tunisia 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7921
        </catValu>
        <labl>
          Turkey 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7922
        </catValu>
        <labl>
          Turkey 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7923
        </catValu>
        <labl>
          Turkey 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          Uganda 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Uganda 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8003
        </catValu>
        <labl>
          Uganda 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8004
        </catValu>
        <labl>
          Uganda 2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8005
        </catValu>
        <labl>
          Uganda 2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8006
        </catValu>
        <labl>
          Uganda 2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8181
        </catValu>
        <labl>
          Egypt 1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8182
        </catValu>
        <labl>
          Egypt 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8183
        </catValu>
        <labl>
          Egypt 1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8184
        </catValu>
        <labl>
          Egypt 2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8185
        </catValu>
        <labl>
          Egypt 2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8186
        </catValu>
        <labl>
          Egypt 2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8187
        </catValu>
        <labl>
          Egypt 2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8341
        </catValu>
        <labl>
          Tanzania 1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8342
        </catValu>
        <labl>
          Tanzania 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8343
        </catValu>
        <labl>
          Tanzania 1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8344
        </catValu>
        <labl>
          Tanzania 2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8345
        </catValu>
        <labl>
          Tanzania 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8346
        </catValu>
        <labl>
          Tanzania 2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8541
        </catValu>
        <labl>
          Burkina Faso 1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8542
        </catValu>
        <labl>
          Burkina Faso 1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8543
        </catValu>
        <labl>
          Burkina Faso 2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8544
        </catValu>
        <labl>
          Burkina Faso 2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8871
        </catValu>
        <labl>
          Yemen 1991-92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8872
        </catValu>
        <labl>
          Yemen 2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8941
        </catValu>
        <labl>
          Zambia 1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8942
        </catValu>
        <labl>
          Zambia 1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8943
        </catValu>
        <labl>
          Zambia 2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8944
        </catValu>
        <labl>
          Zambia 2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8945
        </catValu>
        <labl>
          Zambia 2013
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2973" name="B_COUNTRY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="894"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        COUNTRY reports the country where the survey was fielded. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Model
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Congo Democratic Republic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          Cote d'Ivoire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2974" name="B_YEAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Year of sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1986" max="2016"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        YEAR reports the year when the survey was fielded, as a four-digit variable. In some cases, the DHS was conducted over the course of two years (e.g., Ethiopia 2010-2011), but YEAR always gives a single year. For full information about the timing of the surveys, please consult the IPUMS-DHS Sample Descriptions page.
      </txt>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2975" name="B_IDHSPID" files="F3" intrvl="discrete">
      <location width="8"/>
      <labl>
        Unique cross-sample respondent identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDHSPID is an identifying number unique to person in a given sample. It is a concatenation of SAMPLE and CASEID.
      </txt>
      <codInstr>
        IDHSPID is a 22-character string variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2976" name="B_DHSID" files="F3" intrvl="discrete">
      <location width="8"/>
      <labl>
        Key to link DHS clusters to context data (string)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DHSID is the 14-character DHS identification code for DHS clusters constructed from the 2-character country code, the 4-digit survey year, and the 8-digit cluster identification number. DHSID is available for every IPUMS-DHS sample and uniquely identifies clusters across samples. It serves as the unique linking key between IPUMS-DHS microdata and DHS cluster shapefiles.
      </txt>
      <codInstr>
        This is a 14-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2977" name="B_IDHSPSU" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Unique sample-case PSU identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDHSPSU is an identifying number unique to the primary sampling unit in a given sample. This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and PSU (the numbered primary sampling units within a given sample).
      </txt>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2978" name="B_IDHSSTRATA" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Unique cross-sample sampling strata
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDHSSTRATA is an identifying number unique to the sampling strata in a given sample. This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and STRATA (groups of geographically similar areas, from which primary sampling units are drawn).
      </txt>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2979" name="B_CASEID" files="F3" intrvl="discrete">
      <location width="8"/>
      <labl>
        Sample-specific respondent identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CASEID is the unique identifier for each woman in a given sample year.  Using CASEID and CLUSTERNO, analysts can link IPUMS-DHS data to the original DHS datasets to attach variables that are not currently available in IPUMS-DHS.  For example, researchers can use CASEID and CLUSTERNO to link variables from the IPUMS-DHS with other variables from the Woman's Recode file to merge country-specific variables, or to the Household or Couples Recode file to attach variables that are not yet part of IPUMS-DHS. 

In most samples, users can identify women who are in the same household by using the first 12 characters of CASEID (and CLUSTERNO (V001)), as this indicates a unique household identifier.  

CASEID is generally created by The DHS Program using the variables CLUSTERNO (V001), HHNUM (V002), and LINENO (V003), with the last three characters indicating the respondent's line number in the household file.

For instructions on how to create links between IPUMS-DHS data and DHS source data, see the User Note on "Merging IDHS and DHS Data." [URL omitted from DDI.]]]>
      </txt>
      <codInstr>
        CASEID is a 18-character string variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2980" name="B_HHID" files="F3" intrvl="discrete">
      <location width="8"/>
      <labl>
        Sample-specific household identifier
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHID is an identifying number unique to each household in a given sample.
      </txt>
      <codInstr>
        HHID is a 15-character string variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2981" name="B_PSU" files="F3" dcml="0" intrvl="contin">
      <labl>
        Sample-specific primary sampling unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PSU (V021) is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable DOMAIN (V023) to account for the impact of the sample design clustering on the variance estimates and standard errors. 

The DHS Recode Manuals for Phase 2 forward describe this variable as follows:

 Primary sampling unit is a number assigned to sample points to identify the primary sampling units for use in the calculation of sampling errors. This variable is usually the same as the cluster number and/or the ultimate area unit, but may differ if the sample design required a multistage selection process.

See the notes on DHS webpage "Using sample weights" [URL omitted from DDI.] on variance estimation for additional information.]]>
      </txt>
      <codInstr>
        PSU (V021) is a 6-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2982" name="B_STRATA" files="F3" dcml="0" intrvl="contin">
      <labl>
        Sample-specific sampling strata
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STRATA (V022) defines the pairings or groupings of primary sampling units used in the calculation of sampling errors when using the Taylor series expansion method.

In two-stage sampling, The DHS Program may first group small geographic areas, such as enumeration areas from the last census, into broad strata defined jointly by region and urban versus rural areas within a region. In the second stage of sampling, a subset of geographic areas (sample clusters) are selected as the sites for interviewing from within defined strata. 

STRATA is not the same as DOMAIN (V023). (Domains represent statistically representative areas for which valid summary statistics can be calculated for a survey, such as provinces and national urban versus rural combined areas, as described in the survey's final report.) The DHS Program recommends using STRATA along with the variable PSU (V021) to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

Users are strongly encouraged to review the FAQ section provided by The DHS Program on specifying stratification and clustering here [URL omitted from DDI.], using Stata or SPSS to account for sample design.]]>
      </txt>
      <codInstr>
        STRATA (V022) is a 5-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2983" name="B_DOMAIN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sample-specific domain
      </labl>
      <valrng>
        <range UNITS="REAL" min="99" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DOMAIN (V023) defines the basic geographic units for which the sample was designed to yield representative estimates. 

The DHS Recode Manual describes DOMAIN as follows:

 For example, if the sample was designed to be self-weighting within region, this variable would define those regions; if the sample was designed to be self-weighting within major urban areas, other urban areas and rural areas, this variable would define the major urban, other urban and rural areas. If the sample is self-weighted at the national level, this variable is code 0.

When national estimates are desired, users should include survey design variables, including DOMAIN (V023) and PSU (V021), and the correct sample weights (e.g., PERWEIGHT (V005)) to adjust sampling errors to account for DHS' sample design.

In most countries, DOMAIN defines the stratification for the sample (generally either regional or national).  However, some countries use two levels of stratification, such as region and urban/rural areas.  Users should check for the correct stratification design by consulting the Final Report(s) for the sample(s) of interest (particularly the Introduction and Sample Design sections and Implementation Appendix).]]>
      </txt>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2984" name="B_HHNUM" files="F3" dcml="0" intrvl="contin">
      <labl>
        Household number in cluster
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHNUM (V002) is the number identifying the household in which the respondent was
interviewed, within each sample.   

To identify unique households in most samples, researchers must use HHNUM with CLUSTERNO (V001).  

For most samples, HHNUM and CLUSTERNO can be used to merge IPUMS-DHS data from the women's file to DHS Household Recode files, to incorporate household variables not yet available in the IPUMS-DHS.  However, in some household files, HHNUM and CLUSTERNO do not uniquely identify households in the DHS Household Recode file. 

For information about the IPUMS-DHS samples where HHNUM and CLUSTERNO are not sufficient to uniquely identify households, and for guidance on what further steps to take for linking files in such cases, please consult the User Note on Linking. [URL omitted from DDI.]]]>
      </txt>
      <codInstr>
        HHNUM is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2985" name="B_CLUSTERNO" files="F3" dcml="0" intrvl="contin">
      <labl>
        Sample-specific cluster number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CLUSTERNO (V001) reports the cluster number for the person's de facto residence.

According to the DHS Sampling Manual, "A cluster is the smallest geographical survey statistical unit for DHS surveys. It consists of a number of adjacent households in a geographical area. For DHS surveys, a cluster corresponds either to an [enumeration area], or a segment of a large [enumeration area]."  The most recent census for a country, which divided all territory into enumeration areas to ensure full coverage of the population, often provides the sampling frame for a DHS survey.
 
CLUSTERNO is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable STRATA to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

See the notes on DHS webpage  "Use sample weights" [URL omitted from DDI.] on variance estimation for additional information.

CLUSTERNO (V001) and HHNUM (V002) can be used to merge the women's individual recode file to the household recode file.  See the DHS webpage  Merging Datasets [URL omitted from DDI.] on variables to be used for linking data sets.]]>
      </txt>
      <codInstr>
        CLUSTERNO is an 8 digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2986" name="B_ULTAREAUNIT" files="F3" dcml="0" intrvl="contin">
      <labl>
        Sample-specific ultimate area unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ULTAREAUNIT (V004) reports the ultimate area unit for the person's de facto residence.

According to the DHS recode manuals, ULTAREAUNIT 

is a number assigned to each sample point to identify the ultimate area units in the collection of data. It is usually the same as the cluster number [CLUSTERNO (V001)], but may be a sequentially numbered variable for samples with a more complicated structure.


ULTAREAUNIT can be used to account for the impact of the sampling design clustering on the variance estimates and standard errors.]]>
      </txt>
      <codInstr>
        ULTAREAUNIT (V004) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2987" name="B_LINENO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Household line number of woman respondent
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="106"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LINENO (V003) reports the number of the line on which the DHS interviewer recorded the woman's name, when filling out the household schedule. After asking "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.
      </txt>
      <catgry>
        <catValu>
          1
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        <labl>
          1
        </labl>
      </catgry>
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        <catValu>
          2
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          2
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          3
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          3
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      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2988" name="B_LINENOHUS" files="F3" intrvl="discrete">
      <location width="8"/>
      <labl>
        Household line number of respondent's husband
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LINENOHUS (V034) reports the number of the line on which the DHS interviewer recorded the name of the women's husband/partner, when filling out the household schedule. After asking "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.
      </txt>
      <catgry>
        <catValu>
          00
        </catValu>
        <labl>
          Husband not in the household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2989" name="B_BIDX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Birth history index number
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIDX reports the index number of the child in the mother's birth history, from 1 to n, where the nth birth is the mother's first birth, and 1 is the most recently born child. Up to 20 births could be reported by a woman. After asking "Now I would like to record the names of all your births, whether still alive or not, with the first one you had," the interviewer recorded each child's name in turn on successively numbered lines printed in the "Reproduction" section of the individual woman's questionnaire. 

Combined with CASEID, BIDX uniquely identifies children within a sample. Combined with IDHSPID, BIDX uniquely identifies children across samples. Using these variables, data users can link IPUMS-DHS data to original DHS child-level and birth-level datasets.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2990" name="B_PERWEIGHT" files="F3" dcml="6" intrvl="contin">
      <labl>
        Sample weight for persons
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PERWEIGHT (V005) is an 8-digit variable with 6 implied decimal places, which should be used as a weighting factor to produce representative numbers accurately describing the surveyed population.

While the DHS Recode Manuals direct the researcher to divide the original weight variable by 1,000,000 before applying the weighting factor to the original DHS data files, it is not necessary to modify the value of PERWEIGHT before applying this weight to cases in IPUMS-DHS. 

PERWEIGHT should be used to weight nearly all tabulations made using IPUMS-DHS data.  Occasionally, as with the domestic violence variables, a subset of respondents are randomly selected to answer questions from a survey module, and a specialized weight such as DVWEIGHT should be used instead. 

Note: The 6 implied decimal places in PERWEIGHT mean that the last six digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.]]>
      </txt>
      <codInstr>
        PERWEIGHT is an 8-digit numeric variable with 6 implied decimal places. See the variable description for directions on the use of PERWEIGHT.
      </codInstr>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2991" name="B_AWFACTT" files="F3" dcml="0" intrvl="contin">
      <labl>
        All woman factor for total population
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AWFACTT is a 5-digit variable (in IPUMS-DHS) with 2 implied decimal places that is used to create total population estimates for all women of childbearing age, for those samples interviewing only ever-married women. A post from DHS senior staff member Tom Pullum on the DHS Users Forum explains, 

The all-woman factors are needed when you are trying to estimate something for all women, but you have to work with ever-married women because that's all you have in the sample. An example is when you want to estimate a fertility rate for all women but you only have the births and exposure for ever-married women.  You have to assume that (a) never-married women have no births and (b) awfact/100 is a multiplier to inflate exposure for ever-married women to exposure for all women.   

For surveys that used a sampling frame of all women of childbearing age, AWFACTT has a value of 100 (or 1.00, with two decimal places), and thus has no effect on the survey statistics when used as a multiplier.  For samples that included only ever-married women, AWFACTT serves as a multiplier to create total population figures for all women of childbearing age, following the assumptions noted above.

The width of AWFACTT ranges from a low of 3 to a high of 5 in the original DHS files; see Comparability for further discussion.]]>
      </txt>
      <codInstr>
        AWFACTT is a 5-digit numeric variable with 2 implied decimal places. See the variable description for directions on the use of AWFACTT.
      </codInstr>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2992" name="B_MENSELHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Household selected for men's/husband's survey (individual-level)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MENSELHH (HV027) indicates whether the respondent's household was selected for the men's or husband's survey. Samples including neither a men's survey nor a husband's survey are excluded from this variable in IPUMS-DHS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not selected
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Selected for men's survey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Selected for husband's survey
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2993" name="B_DVMODULE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Selected for domestic violence module
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DVMODULE (V044) identifies female respondents who were selected to receive questions from the domestic violence module and, for those selected, indicates whether they were interviewed.

For samples including the module, one woman of childbearing age per household was randomly selected for the interview, using a table included in the questionnaire.  Some women who were selected for the domestic violence interview refused to participate; others were excluded because the woman could not be interviewed privately.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Woman not selected
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman selected and interviewed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman selected, but privacy not possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman selected, but not interviewed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2994" name="B_DVWEIGHT" files="F3" dcml="6" intrvl="contin">
      <labl>
        Weight for domestic violence module
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DVWEIGHT (D005) is an 8-digit variable with 6 implied decimal places, which should be used as a weighting factor for the subset of women who were randomly selected and interviewed in privacy for the domestic violence module (as indicated by DVMODULE) (V044). For further information about using weights with the DHS data, see PERWEIGHT (V005).  

Note: The 6 implied decimal places in DVWEIGHT mean that the last six digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.]]>
      </txt>
      <codInstr>
        DVWEIGHT is an 8-digit numeric variable with 6 implied decimal places.
      </codInstr>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2995" name="B_HEMOSELECT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Household selected for hemoglobin measurements
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HEMOSELECT (V042) indicates whether the respondent's household was selected for hemoglobin measurements of the household members. 

Hemoglobin is a protein in the red blood cells that carries oxygen from the lungs to the organs and tissues and transports carbon dioxide back to the lungs. Low hemoglobin levels indicate the presence of anemia (which may be caused by inadequate nutrition or chronic disease).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not selected
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Selected
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2996" name="B_INTYEAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Year of interview
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INTYEAR (V007) reports the year the interview took place. 

The dates reported in INTYEAR are based on the Gregorian calendar.]]>
      </txt>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2997" name="B_MONTHINT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Month of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MONTHINT (V006) reports the month when the interview took place.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2998" name="B_INTDAY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Day of month of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="31"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INTDAY (V016) reports the day of the month on which the interview took place. INTDAY uses dates expressed in the Gregorian calendar.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2999" name="B_INTDATECMC" files="F3" dcml="0" intrvl="contin">
      <labl>
        Century month date of interview
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INTDATECMC (V008) reports century month code for the date on which the interview took place. 

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTDATECMC are calculated using the Gregorian calculator.]]>
      </txt>
      <codInstr>
        INTDATECMC (V008) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3000" name="B_INTRESULT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Result of individual interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="7"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INTRESULT (V015) reports the result of the individual interview. Code 1 represents a completed interview. Only completed interview cases are included in the DHS women's individual recode files, which provide the source material for IPUMS-DHS.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not at home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Postponed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Partly completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Respondent Incapacitated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3001" name="B_EVMARALLSAMP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever-married or all-women sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EVMARALLSAMP (V020) indicates whether the sample includes only ever-married women or includes all women of childbearing age.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          All women sample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ever-married women sample
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3002" name="B_INTERVIEWERIDIR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Identification number of interviewer, women's survey
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        INTERVIEWERIDIR (V028) reports the interviewer identification code for the interviewer conducting the individual women's interviews for women of childbearing age. Codes are country- and sample-specific; a given numeric code in one survey refers to a different person than the same numeric code in another survey. Numbering of interviewer codes is not necessarily consecutive; some surveys use "0" as an identification code, for example, while others begin with a 3-digit number. Using the interviewer identification codes, researchers can evaluate whether the quality of responses (e.g., the number of "missing" cases) depended on the person conducting the interview.
      </txt>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3003" name="B_HIVCONSENT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Result of consent statement for HIV test
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HIVCONSENT (V473a) indicates whether permission was granted for the person's blood to be drawn and tested for HIV antibodies or, if not, why not. Interviewers read a statement about HIV testing and requested permission to draw and test the individual's blood; blood was drawn only if consent was given by the persons themselves (if adults) or by a parent or guardian (if a minor).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Permission granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Permission not granted/not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Parent/responsible adult refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Respondent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          No adult present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Problem with sample drawn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3004" name="B_HIVBLOODTEST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Blood tested for HIV
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HIVBLOODTEST (V473b) indicates whether the person's blood was drawn and tested for HIV antibodies or, if not, why the person's blood was not tested. All "no" responses have a common first digit of "2," while the second digit reveals the reason (e.g., consent refused, blood sample insufficient or damaged).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Blood taken and tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Blood not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Person not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Consent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sample not tested/lost/damaged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3005" name="B_URBAN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Urban-rural status
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        URBAN (V025) indicates whether the person's de facto residence was in an urban or rural location. The definition of urban varies across countries. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3006" name="B_DEFACTORES" files="F3" dcml="0" intrvl="discrete">
      <labl>
        De facto place of residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="22"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DEFACTORES (V026) reports the type of place--city, town, or countryside--where the person was interviewed.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Capital or other large city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Other city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Town or countryside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Countryside
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3007" name="B_PREVRESTYP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of place of previous residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREVRESTYP (V105) reports the type of place--city, town, countryside, or a site abroad--where the person lived just before moving to the current place of residence.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Capital or other large city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Other city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Town or countryside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Town
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Countryside
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other or abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Other, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Migration Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3008" name="B_GEO_MW1992_2016" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malawi regions, 1992-2016 [integrated; GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO_ MW1992_2016 indicates the region of Malawi where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

Labels identify the modern geographic units (regions) contained in each integrated region. Each sample also has its own non-integrated geography variable. An additional integrated variable, GEOALT_MW2010_2016, does not include the 1992, 2000, or 2004 Malawi samples but contains greater geographic detail (districts).

An integrated GIS map (in shapefile format) for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Integrated geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3009" name="B_GEOALT_MW2010_2016" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malawi districts, 2010-2016 [integrated; GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="313"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEOALT_ MW2010_2016 indicates the region of Malawi where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

DHS regions in GEOALT_ MW2010_2016 are equivalent to districts. Each sample also has its own non-integrated geography variable. An additional integrated variable, GEO_MW1992_2016, includes the 1992, 2000, and 2004 Malawi samples and contains less geographic detail (regions).

An integrated GIS map (in shapefile format) for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Chitipa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Nkhatabay and Likoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Rumphi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Mzimba and Mzuzu City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Kasungu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Nkhota kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Ntchisi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Dowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Salima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Lilongwe and Lilongwe City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Mchinji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Dedza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Ntcheu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Mangochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Machinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Zomba and Zomba City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Chradzulu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Blantyre and Blantyre City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Thyolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Mulange
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Phalombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Chikwawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Ndanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Balaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Neno
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Integrated geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3010" name="B_GEO_MW2010" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malawi regions, 2010 [GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO_MW2010 (V101_MW2010) indicates the region of Malawi where the respondent was interviewed. DHS units in the 2010 Malawi survey are equivalent to regions.

Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_MW1992_2016, that provides spatially consistent units over time. Greater geographic detail for the Malawi 2010 sample can be found in GEOALT_MW2010.

A GIS map for GEO_MW2010 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Single sample geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3011" name="B_GEOALT_MW2010" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malawi districts, 2010 [GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="313"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEOALT_MW2010 indicates the region of Malawi where the respondent was interviewed. DHS regions in GEOALT_MW2010 are equivalent to districts. 

Other sample years have their own sample-specific geography variables.  There is also an integrated variable GEOALT_MW2010_2016 that provides spatially consistent units over time. Lesser geographic detail for the Malawi 2010 sample can be found in GEO_MW2010. An additional integrated variable, GEO_MW1992_2016, provides spatially consistent units over time with less geographic detail.

A GIS map for GEOALT_MW2010 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.]]>
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Chitipa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Nkhatabay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Rumphi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Mzimba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Kasungu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Nkhota kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Ntchisi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Dowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Salima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Lilongwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Mchinji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Dedza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Ntcheu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Mangochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Machinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Zomba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Chiradzulu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Blantyre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Thyolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Mulanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Phalombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Chikwawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Nsanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Balaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Neno
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Single sample geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3012" name="B_DHS_IPUMSI_MW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        DHS-IPUMS-I Malawi regions, 1987-2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DHS_IPUMSI_ MW provides geographic codes for Malawi that match those in the DHS and IPUMS-International  [URL omitted from DDI.] databases. This variable can be used to link contextual area data from IPUMS-DHS to IPUMS-International or vice versa. The codes in DHS_IPUMSI_MW indicate the major administrative unit in which the household was enumerated or surveyed.

GIS shapefiles for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        IPUMS International geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3013" name="B_AGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="64"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGE (V012) reports the woman's age. DHS surveys collect information about the woman's age through questions about age at last birthday and date of birth.  DHS Recode Manuals provide the following information about how the AGE variable is calculated:

Current age in completed years is calculated from the century month code of the date of birth of the respondent (V011) and the century month code of the date of interview (V008). In a few cases the age in the data file will be different from that reported by the respondent when the respondent's birthday was in the month of interview, but she had not yet had her birthday. If the respondent correctly reported her age at her last birthday (and not her age at her next birthday) then the calculated age was rounded up from the reported age, to avoid inconsistencies between the age and the century month code for the birth.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3014" name="B_AGE5YEAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age in 5 year groups
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="93"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGE5YEAR (V013) reports the woman's age in 5-year groups, based on data from the AGE (V012) variable. The age range of women interviewed varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 to 14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          10 to 14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          13-14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          15-19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          20-24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          25-29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          30-34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          35-39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          40-44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          45-49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          50+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          50-54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          55-59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          60-64
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3015" name="B_BIRTHMO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman's month of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHMO (V009) reports the woman's month of birth.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3016" name="B_BIRTHYEAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman's year of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1936" max="2002"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHYEAR (V010) reports the woman's year of birth.
      </txt>
      <catgry>
        <catValu>
          1936
        </catValu>
        <labl>
          1936
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1937
        </catValu>
        <labl>
          1937
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1938
        </catValu>
        <labl>
          1938
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1939
        </catValu>
        <labl>
          1939
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1940
        </catValu>
        <labl>
          1940
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1941
        </catValu>
        <labl>
          1941
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1942
        </catValu>
        <labl>
          1942
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1943
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1944
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1945
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1946
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1947
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3017" name="B_DOBCMC" files="F3" dcml="0" intrvl="contin">
      <labl>
        Respondent's date of birth, in century months
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DOBCMC (V011) reports the century month code (CMC) for the woman's date of birth. 

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].]]>
      </txt>
      <codInstr>
        DOBCMC (V011) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3018" name="B_DOBINFORESP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Information given on respondent's date of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DOBINFORESP (V014) reports the completeness of information about the respondent's age and date of birth. A code of 0 indicates the month and the year were reported, and no data were imputed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Month and age, year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year and age, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Year and age, year ignored
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Year only, age and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Age only, year and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Month only, age and year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Season and year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          None reported, all imputed
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3019" name="B_RESIDENT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Usual resident or visitor
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RESIDENT (V135) indicates whether the woman was a usual resident of the household or was just visiting there. As defined by the RESIDENT variable, a visitor could potentially reside in the city, town, or village where the interview took place but would have answered "No" to the question, "Does (NAME) usually live here [in this dwelling unit]?" on the household questionnaire.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Usual resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3020" name="B_RELATE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Respondent's relationship to HH head
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELATE (V150) reports the woman's relationship to the head of the household, based on a question in the household questionnaire.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Daughter or son
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Daughter- or son-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Mother or father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Sister or brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Co-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Adopted/foster child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Niece or nephew by blood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Niece or nephew by marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Niece or nephew unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Sibling-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Aunt or uncle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Nonrelative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Domestic servant/employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Herdboy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3021" name="B_PREGNANT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Currently pregnant
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREGNANT (V213) indicates whether the respondent is currently pregnant.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No/unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3022" name="B_DURCURPREG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Duration of current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For currently pregnant women, DURCURPREG (V214) reports the imputed duration of the woman's current pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3023" name="B_TRIPSAWAYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of trips away from home in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TRIPSAWAYR (V167) reports the number of times the respondent has been away from home or from her home community for one or more nights in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3024" name="B_TRIPAWAY1MO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Respondent away from home for over 1 month in last year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TRIPAWAY1MO (V168) indicates whether the respondent has been away from home or from her home community for more than one month at a time in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3025" name="B_RELIGION" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Religion
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RELIGION (V130) reports the woman's religion. While the categories and codes for the religion variable in the original DHS files are country-specific, IPUMS-DHS uses a 3-digit composite coding system to fit these diverse categories into a single variable without losing information. See Comparability.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Muslim/Islam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Christian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Catholic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Protestant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Anglican
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Methodist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Presbyterian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Lutheran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Baptist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Salvation Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Pentacostal/Charismatic/Evangelical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Apostolic Sect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Seventh Day Adventist/Baptist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Jehovah's Witnesses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Universal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Other Christian, unspecified/general
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Other Protestant, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Other Christian, specified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Ethiopian Orthodox
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Celestial Church of Christ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          African Zionist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          Munu Mwama (African Pentecostal)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          United Faith Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          African Orthodox Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          Evangelical Lutheran Church in Namibia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          Lesotho Evangelical Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Kimbanguist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Orthodox
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Mammon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Other, not Christian or Islam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Hindu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Sikh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Buddhist/Neo-Buddhist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Jewish
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Parsi/Zoroastrian
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Doni-Polo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Sanamahi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Bahai
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Bisaka group/Faith of Unity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Kirat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Traditional/spiritual/animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Traditional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Spiritual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Animist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Voodoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          No religion
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Religion 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Religion 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Religion 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Religion 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and religion Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3026" name="B_ETHNICITYMW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ethnicity, Malawi
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ETHNICITYMW (V131MW) is a variable specific to Malawi that reports responses to a question about the woman's tribe or ethnicity. The number of groups identified varied across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Chewa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tumbuka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Lomwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Yao
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Nkonde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Ngoni
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Other groups
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Amanganja/Anyanja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mang'anja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Lambya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Ndali
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Nyanja
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Other, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ethnicity and religion Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3027" name="B_RESIDEINTYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Years lived in place of residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RESIDEINTYR (V104) reports the number of years the woman had been living continuously in the village, town, or city where she was interviewed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Always
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3028" name="B_HHMEMTOTAL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total number of household members
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="80"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHMEMTOTAL (V136) reports the total number of members of the woman's household.  

According to the DHS Recode Manuals, HHMEMTOTAL is calculated by summing "the number of usual residents and the number of visitors who slept in the house the previous night that were listed in the household schedule."  "Usual residents" of the household are identified by the RESIDENT variable.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3029" name="B_HHELIGWOMEN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of eligible women in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHELIGWOMEN (V138) reports the number of eligible women in the household, usually defined as women of childbearing age who slept in the household the previous night (regardless of whether they were usual residents or visitors). The age and marital status guidelines for defining eligible women varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          No women age 15-49
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3030" name="B_HHKIDLT5" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of children under 5 in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="25"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHKIDLT5 (V137) reports the number of children age 5 and under who reside in the household. Visiting children are not included in the count.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3031" name="B_HHEADAGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age of household head
      </labl>
      <valrng>
        <range UNITS="REAL" min="2" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHEADAGE (V152) reports the age of the head of the household.
      </txt>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
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      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3032" name="B_HHEADAGEHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age of household head (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHEADAGEHH (HV220) reports the age of the head of the household.

The information in HHEADAGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
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        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3033" name="B_HHEADSEX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sex of household head
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHEADSEX (V151) reports the sex of the head of the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3034" name="B_HHEADSEXHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sex of household head (from hh record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHEADSEXHH (HV219) reports the sex of the head of the household.

The information in HHEADSEXHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3035" name="B_FAMSTRUCTR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Relationship structure in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FAMSTRUCTR (HV217) indicates the relationship structure (no adults, one adult, two related adults of the opposite sex, two related adults of the same sex, three or more related adults, or unrelated adults) in the household. Only usual (de jure) household members aged 15 and over are considered in determining the household's relationship structure. FAMSTRUCTR is a constructed variable, based on information about each household member's age, sex, and relationship to the householder, which was collected when completing the listing of persons in the household at the time of the survey.

The information in FAMSTRUCTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          One adult
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Two adults, opp sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Two adults, same sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Three plus related adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unrelated adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3036" name="B_HHDEATHYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Member of HH died in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHDEATHYR (HV249) indicates whether any member of the household died in the 12 months before the survey.

The information in HHDEATHYR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3037" name="B_HHDEATHYRNO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of HH members who died in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHDEATHYRNO (HV250) indicates the number of household members who died in the 12 months before the survey.

The information in HHDEATHYRNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3038" name="B_SICKADULTNO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of sick people age 18 to 59 in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SICKADULTNO (HV248) reports the number of sick people age 18-59 in the household.

The information in SICKADULTNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3039" name="B_HHORPHANNO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of orphans and vulnerable children in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="96"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHORPHANNO (HV251) indicates the number of orphans and vulnerable children in the household.

The information in HHORPHANNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3040" name="B_MARSTAT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman's current marital or union status
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MARSTAT (V501) reports the woman's current marital status. Response categories and question wording vary across surveys. See Comparability.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unconsummated marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Married or living together
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Living together
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Formerly in union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Separated/not living together
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Deserted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3041" name="B_EVERMARRIED" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever been married
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently married or living with a man, EVERMARRIED (V535) reports the woman's relationship history as "No [never married/in union]," "Formerly married," or "Lived with a man."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Formerly married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Formerly married with certificate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Formerly married by custom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Lived with a man
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3042" name="B_CURRMARR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman never, currently, or formerly married
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CURRMARR (V502) reports the woman's marital/union status as "Never married," "Currently married," or "Formerly married."

"Never married" includes women who have never lived with a partner. "Currently married" includes women who are married and those who are not formally married but are living with a partner. "Formerly married" includes women who are widowed, divorced, or separated, or who have formerly lived with a partner. For samples restricted to ever-married women, only women who are formally married (not cohabiting) are included as "married."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Currently married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Formerly married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3043" name="B_UNION1MORE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman had one or more than one union
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had ever been married or lived with a man, UNION1MORE (V503) indicates whether the respondent had been in one or more than one marriage/union.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          One
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          More than one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3044" name="B_AGEFRSTMAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age at first marriage or cohabitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGEFRSTMAR (V511) reports the woman's age at the start of her first marriage or union. This usually refers to when the woman first started to live with her first husband or partner. According to the DHS Recode Manuals, "Age at start of first marriage or union is calculated from the century month code of the date of start of first marriage or union and the century month code of the date of birth of the respondent."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3045" name="B_HUSAGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age of husband/partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HUSAGE (V730) reports the age of the woman's husband or co-resident partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3046" name="B_DURMARGRP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Marital or cohabitation duration (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DURMARGRP (V513) reports the number of years elapsed since the woman's first marriage or cohabiting union until the date of the survey interview, in five-year groups. The duration is reported irrespective of whether the respondent is still married or in a union with her first partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          0 to 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          5 to 9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          10 to 14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          15 to 19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          20 to 24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          25 to 29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          30+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3047" name="B_MAR1STMO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Month of first marriage or cohabitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had ever been married or lived with a man, MAR1STMO (V507) reports the month of their first marriage or (for most samples) unmarried cohabitation. The year of the woman's first marriage/union is reported in MAR1STYR (V508).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3048" name="B_MAR1STYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Year of first marriage or cohabitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="1943" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had ever been married or lived with a man, MAR1STYR (V508) reports the year of their first marriage or (for most samples) unmarried cohabitation. The month of the woman's first marriage/union is reported in MAR1STMO (V507).
      </txt>
      <catgry>
        <catValu>
          1943
        </catValu>
        <labl>
          1943
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1944
        </catValu>
        <labl>
          1944
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1945
        </catValu>
        <labl>
          1945
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1946
        </catValu>
        <labl>
          1946
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1947
        </catValu>
        <labl>
          1947
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3049" name="B_YRSTO1STMAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Years since starting date of 1st marriage or union
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had ever been married or lived with a man, YRSTO1STMAR (V512) reports the number of years from the start of the woman's first marriage/union to the date of the survey interview. The calculation is made using century month codes for both dates.

For the month and year of first marriage/union, see MAR1STMO (V507) and MAR1STYR (V508) respectively.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Marriage not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3050" name="B_MAR1STCMC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Date of first marriage or cohabitation (CMC)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAR1STCMC (V509) reports the century month code (CMC) for the date of the woman's first marriage or cohabitation. 

Century month codes (CMC) are particularly useful checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Not consummated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3051" name="B_MAR1STDATINFO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information, date of first marriage/union
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MAR1STDATINFO (V510) reports the completeness of information for the date of the woman's first marriage or cohabitation. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Month and age reported, year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year and age reported, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Year reported, age and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Age reported, year and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Month reported, age and year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Year and age reported, year ignored
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Season and year reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          All values imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          All reported, inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3052" name="B_MARTO1STBORNMO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Months between respondent's 1st marriage and 1st birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="998" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MARTO1STBORNMO (V221) reports the number of months between the woman's first marriage (i.e., formal marriage or first episode of living with a man) and her first birth. For women whose first birth occurred before their first marriage, this variable is coded as '998.'
      </txt>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          First birth prior to first marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3053" name="B_WIFENUM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of other wives
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were currently married or living with a man, WIFENUM (V505) reports the number of other wives (or co-resident partners) their husband/partner had. Question wording varied across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No other wives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Has other wives, dk number
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3054" name="B_WIFERANK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Wife rank number
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women married to or living with a man who had more than one wife/partner, WIFERANK (V506) reports the woman's rank among her husband's/partner's wives/partners.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3055" name="B_HUSBINHOME" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Husband/partner lives in woman's household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were currently married or living with a man, HUSBINHOME (V504) indicates whether the husband/partner lived with the woman or stayed elsewhere.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Living with woman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Staying elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3056" name="B_MARENDWHY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason previous marriage ended
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MARENDWHY (V538) indicates the reason (death/widowhood, divorce, or separation) the respondent's previous marriage or union ended.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Death/widowhood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3057" name="B_CHEB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total children ever born
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHEB (V201) reports the total number of children ever born to the respondent.  The number reported in CHEB is the sum of a series of variables covering the total number of sons and daughters who are living at home, living away from home, or who have died (V202 to V207).   

The number of births reported in CHEB will match the number of entries in the birth history (V224) for up to 20 births.  If the woman reported more than 20 births, then the number for CHEB will exceed the number of births in the birth history, but such cases are rare.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3058" name="B_TOTBIRTHIST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of entries in the birth history
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TOTBIRTHIST (V224) reports the number of entries in the woman respondent's birth history. 

For up to 20 births, the birth history contains information for each of the respondent's births. In those rare cases when the respondent had more than 20 births, the birth history lists the last 19 births and the first birth.  

In cases where the women had fewer than 20 births, the number reported in TOTBIRTHIST will match the number reported in CHEB (V201), the total number of children ever born to the respondent.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3059" name="B_SONSATHOME" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of own sons living at home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are currently living with her. 

The related variable SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth and are still alive, but who are not currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3060" name="B_DAUSATHOME" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of own daughters living at home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are currently living with her. 

The related variable DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth and are still alive, but who are not currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3061" name="B_SONSAWAYHOME" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of own sons living away from home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are still alive, and who are currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3062" name="B_DAUSAWAYHOME" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of own daughters living away from home
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are still alive, and who are currently living with her.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3063" name="B_SONSDIED" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of own sons who have died
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SONSDIED (V206) reports the number of sons to whom the woman has given birth who have died.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3064" name="B_DAUSDIED" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of own daughters who have died
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DAUSDIED (V207) reports the number of daughters to whom the woman has given birth who have died.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3065" name="B_BIRTHSIN5YRS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of births in last 5 years
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSIN5YRS (V208) reports the number of births the woman had in the five years prior to the survey. This statistic is calculated based on the total number of births in the 0 to 59 months prior to the month of the interview.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3066" name="B_BIRTHSIN1YR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of births in the past year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSIN1YR (V209) reports the number of births the woman had in the year prior to the survey. This statistic is calculated based on the total number of births in the months 0 to 12 (not 0 to 11) prior to the month of the interview. For example, if the survey were given in January, BIRTHSIN1YR would report the number of births the woman had between the time of the survey and the previous January.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3067" name="B_BIRTHSIN1MO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total number of births in month of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSIN1MO (V210) reports the total number of births the woman had in the month of interview.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3068" name="B_DOB1STKIDCMC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Date of respondent's first birth, in century months
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DOB1STKIDCMC (V211) reports the century month code (CMC) for the date of the woman's first birth. 

The Guide to DHS Statistics (2003) explains the use and calculation of CMC values as follows:

Century month codes (CMC) are particularly important to check consistency of dates, to calculate intervals between events, and to impute dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. That year was chosen as the reference period because all of the DHS relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 will be:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed since January 1900 to June 2002. Based on CMC it is possible to calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )]]>
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3069" name="B_TIMEMENSTRUATE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Time since woman's last menstrual period
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TIMEMENSTRUATE (V215) reports the time passed since the woman's last menstrual period, in days, weeks, months, or years.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Day of Interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Days: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 Weeks: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          91 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          92 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          93 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          94 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          95 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          96 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          97 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          98 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 Months: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          98 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Years: 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          35 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          36 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          37 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          38 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          39 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          40 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          41 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          42 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          43 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          44 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          45 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          46 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          47 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          48 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          49 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Currently pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          In menopause/had hysterectomy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Never menstruated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3070" name="B_MENSTRUATE6WK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman menstruated last 6 weeks
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MENSTRUATE6WK (V216) indicates whether the woman menstruated in the 6 weeks prior to the interview, as calculated from TIMEMENSTRUATE (V215).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3071" name="B_OVCYCLE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        When in cycle thinks pregnancy is most likely
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        OVCYCLE (V217) suggests the woman's knowledge of the ovulatory cycle by reporting when she believes a woman has the greatest chance of becoming pregnant.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          During her period
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          After period ended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Middle of the cycle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Before period begins
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          At any time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other/It depends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3072" name="B_CHEBALIVE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total number of living children born to respondent
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHEBALIVE (V218) reports the total number of children ever born to the respondent who are currently living. The number reported in CHEBALIVE (V218) is the sum of a series of variables reporting the total number of sons and daughters who are living at home and who are living away from home (V202 to V205 - SONSATHOME, DAUSATHOME, SONSAWAYHOME, and DAUSAWAYHOME). 

The related variable CHEB (V201) reports the total number of children ever born to the respondent, regardless of survival status.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3073" name="B_CHSURVPLUSPG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total number of living children including current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHSURVPLUSPG (V219) reports the woman's total number of living children, including her current pregnancy. 

CHSURVPLUSPG takes the value of CHEBALIVE (V218) and adds 1 if the respondent is pregnant.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3074" name="B_CHEBALIVETRUNC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total number of living children, truncated at 6+
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CHEBALIVETRUNC (V220) reports the woman's total number of living children (including current pregnancy), truncated at 6 or more children. This variable is a grouping of CHSURVPLUSPG (V219) truncated at 6+ children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3075" name="B_LASTBIRTHTOINTMO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Interval between last birth and interview, in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have ever given birth, LASTBIRTHTOINTMO (V222) reports the number of months between their last birth and the date of interview.
      </txt>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3076" name="B_CONCEPTDATEFLAG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information on date of conception, current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For pregnant women, CONCEPTDATEFLAG (V223) indicates the completeness of information relating to the date of conception of their current pregnancy.  According to the DHS Recode Manuals, "This variable indicates whether the date of conception was exactly specified by the duration of the current pregnancy or the duration was imputed from other information." 

The related variable DURCURPREG reports the duration of the current pregnancy.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month- exact date
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Date missing, imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3077" name="B_MENSTIMFLAG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Flag for reported time since last menstrual period
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MENSTIMFLAG (V227) is a flag variable that indicates the type of problem, if any, found in editing responses on the time since the respondent's last menstrual period. Cases without a problem are coded 0.

For time since last menstrual period, see TIMEMENSTRUATE (V215).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Number GT interval since birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Number plus amenorrhea GT interval
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Number reported, but period not returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Reported before last birth, but no birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Reported before last birth, but period since
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Reported never menstruated, but period returned
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Reported time during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Reported never menstruated but had kids
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Reported period before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3078" name="B_PREGTERMIN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever had pregnancy terminate via abortion, miscarriage or stillbirth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREGTERMIN (V228) indicates whether the woman ever had a pregnancy that was terminated due to miscarriage, abortion, or stillbirth, and did not result in a live birth.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3079" name="B_PREGTERMINMO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Calendar month of pregnancy termination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have had a pregnancy terminated through abortion, stillbirth or miscarriage, PREGTERMINMO (V229) indicates the calendar month when the last pregnancy termination occurred.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Decement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3080" name="B_PREGTERMINYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Year of last pregnancy termination
      </labl>
      <valrng>
        <range UNITS="REAL" min="1956" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have had a pregnancy terminated through abortion, stillbirth or miscarriage, PREGTERMINYR (V230) reports the year when the last pregnancy termination occurred.
      </txt>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3081" name="B_PREGTERMTIM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Months pregnant when pregnancy terminated
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had a pregnancy end without a live birth (through abortion, stillbirth or miscarriage) 5 years before the survey, PREGTERMTIM (V233) indicates how many months pregnant the woman was when the pregnancy ended.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3082" name="B_PREGTERMPREV" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Respondent had previous pregnancy terminations (prior to last 5 years)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had a pregnancy end without a live birth (through abortion, stillbirth or miscarriage) in the 5 years before the survey, PREGTERMPREV (V234) indicates whether the woman had any other pregnancies that ended without a live birth.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3083" name="B_PRECALBIDX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Birth history index for last child born prior to the start of the calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PRECALBIDX (V235) provides the birth index number (see BIDX for more information) of the last child born to the woman before the start of the survey's birth calendar. For the majority of samples, PRECALBIDX reports the birth index number of the last child born prior to 5 years before the survey. For a minority of samples, the reference period is 3 or 4 years before the survey. See Sample Description [URL omitted from DDI.] information on the universes for children included in the surveys to learn the specific reference period for each survey.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No prior child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 (or yes, prior child)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3084" name="B_BIRTHSOTHER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Other live births in interval between last birth reported and date of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSOTHER (V237) indicates whether the woman had any other live births in the interval between the last reported birth and the date of the interview. The question for this variable verifies whether the woman omitted any births when reporting her birth record. Omitted births should be included in the final version of the birth history in the variable CHEB (V201).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3085" name="B_BIRTHSTOT3YR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total births in last 3 years prior to interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHSTOT3YR (V238) indicates the total number of births the woman had in the 3 years (0 to 35 months) prior to the interview (where 0 is the month of interview). Responses are based on the woman's birth history table, which records the month and year of her children's births.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3086" name="B_PRECALTERM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Had pregnancies ending in miscarriage, abortion or stillbirth before calendar beginning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PRECALTERM (V239) indicates whether the respondent had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3087" name="B_PRECALTERMMO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Month of last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMMO (V240) indicates the calendar month of the termination.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3088" name="B_PRECALTERMYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Year of last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="1960" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMYR (V241) indicates the calendar year of the termination.
      </txt>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3089" name="B_PRECALTERMCMC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Century month date of last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMCMC (V242) reports the century month date of the last pregnancy termination before the start of the birth calendar.

For information on how to interpret and calculate century month dates, see DOBCMC.

All samples in PRECALTERMCMC use the Gregorian calendar.  For similar data for Ethiopian samples using the Ethiopian calendar, see PRECALTERMCMC_ET.]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3090" name="B_PRECALTERMCOMP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information for last pregnancy termination prior to calendar
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had any pregnancies terminated through abortion, miscarriage or stillbirth prior to the survey's birth calendar, PRECALTERMCOMP (V243) reports the completeness of information about the month and year of that pregnancy termination.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month &amp; Year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From Calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3091" name="B_TIMEMENSCALC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Computed time since last menstrual period
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMEMENSCALC (V226) reports the computed time since the respondent's last menstrual period. 

According to the DHS Recode Manuals, this variable

is computed from the response for V215, with durations exceeding the interval since the last birth (V227 = 7,9) recoded to the response "Before last birth" (code 995) and inconsistent responses flagged on variable 227 (codes 1-6) recoded to 997.


Restated in terms of IPUMS-DHS variables and variable labels, TIMEMENSCALC is computed from the response for TIMEMENSTRUATE (Time since woman's last menstrual period).  Cases with durations exceeding the interval since the last birth, when MENSTIMFLAG (Flag for reported time since last menstrual period) has values for "Reported time during pregnancy" or "Reported period before last birth," are recoded as "Before last birth" in TIMEMENSCALC.  Cases with inconsistent or implausible responses according to MENSTIMFLAG (for example, the woman reportedly never menstruated but she has given birth) are recoded to "Inconsistent" for TIMEMENSCALC.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No time difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          In menopause/had hysterectomy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Pregnant, not asked
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          In menopause
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Never menstruated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3092" name="B_AGEAT1STBIRTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age of respondent at time of first birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="2" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGEAT1STBIRTH (V212) reports the age of the woman at the time of her first birth. This variable is calculated by using the century month code (CMC) of the date of the woman's first birth (DOB1STKIDCMC) and the CMC of the woman's date of birth (DOBCMC).
      </txt>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3093" name="B_PREGTERMCMC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Century month date of last pregnancy termination
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PREGTERMCMC (V231) reports the century month code of the respondent's last pregnancy termination.  

According to the DHS Recode Manuals, "The CMC date of termination is calculated from the preceding questions [on month and year of last pregnancy termination], or from the calendar, if possible, in cases where an exact date was not given for the date of last pregnancy termination."

For detailed discussion of the calculation and interpretation of century month codes, see DOBCMC (Respondent's date of birth, in century months).]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3094" name="B_PREGTERMFLAG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Date flag for last terminated pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREGTERMFLAG (V232) is a flag variable that indicates the type of information available on the date of the respondent's last terminated pregnancy. Survey forms supplied room to collect the month and year of the last terminated pregnancy, and cases for which both month and year are available are coded 1.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          From calendar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fertility Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3095" name="B_SLEEPROOMS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of rooms in HH used for sleeping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SLEEPROOMS (HV216) reports the number of rooms in the household used for sleeping.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3096" name="B_WALL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Main material of outside walls of dwelling
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WALL (HV214) reports the main material of the outside walls of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No walls
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Cane/palm/trunks/grass/sticks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Cane/palm/trunks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Cane/trunks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Cane/trunks/bamboo/reeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Palm branches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Sticks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Shells
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Earth/mud/dirt/dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Unbaked brick, mud, or earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Mud, dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Dirt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Hay with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Animal dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Thatch/mat/leaves/straw/reeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Thatch or straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Bamboo with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Bamboo/wood with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Stone with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Rough wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Plywood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Reused wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Timber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Wood/metal planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Poles and mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Trunks with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Tin/cardboard/paper/bags
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Cardboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Carton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Uncovered adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Corrugated metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          Canvas/tent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Unburnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Unburnt brick and plaster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Unburnt brick with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Semi-dur (cement and sand blocks)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Finished/burnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Burnt bricks with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Burnt bricks with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Sundried bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Cement blocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Wood planks/shingles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Wood and grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Stone with lime/cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Covered adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Other finished
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Metal or asbestos sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          T-iron/wood/brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          Iron or zinc sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          Corrugated asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Metal, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3097" name="B_FLOOR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Main material of floor
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FLOOR (HV213) reports the main material of the floor of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Earth-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Earth, sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Earth, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Earth, mud, clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Dirt/Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Mud and hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Dung-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Earth and dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Mud, dung, sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Wood planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Wood and tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Wood/palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Palm/bamboo/leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Other rudimentary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Broken bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unfinished stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Parquet/polished wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Polished wood/vinyl/tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Vinyl/asphalt strips/linoleum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Linoleum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Vinyl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Tiles/mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Ceramic tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Cement tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Ceramic/terrazo tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Ceramic/marble tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Tiles/brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Carpet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Mat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Terrazzo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Other finished
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          Plaster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3098" name="B_ROOF" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Main material of roof
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ROOF (HV215) reports the main material of the roof of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No roof
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Thatch/palm leaf/grass/makuti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Thatch/palm leaf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Grass, thatch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Grass, thatch, makuti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Thatch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Thatch/mat/leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Grass/leaves/mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Sticks/sticks with mud or dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Dung, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Earth, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Sod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Sod/mud and grass mixture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Mud and hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Rustic mat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Rustic mat, plastic sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Plastic/polythene sheet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Palm, bamboo, grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Reed, bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Wood planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Wooden tiles, planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Wood, mulch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Cardboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Rudimentary - metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Tin cans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Iron sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Other rudimentary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Mobile roofs of nomads
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Skin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Metal, zinc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Corrugated metal sheet, asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Corrugated iron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Asbetos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Reinforced brick cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Ceramic tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Iron and tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Tiles/slate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Mud tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Ceramic tiles, harvey (steel) tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Calamine/cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Asbestos, cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Zinc/cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Roofing shingles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Unburnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Burnt brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Loosely packed stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          Stone slabs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          Slate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3099" name="B_ELECTRC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Has electricity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ELECTRC (V119) indicates whether the household has electricity. Samples vary in how that information was collected. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3100" name="B_ELECTRCHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Dwelling has electricity (from hh record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ELECTRCHH (HV206) indicates whether the household has electricity. Samples vary in how that information was collected.

The information in ELECTRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3101" name="B_COOKFUEL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of fuel household uses for cooking
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COOKFUEL (HV226) reports the type of fuel the woman's household used for cooking.
Response categories vary across surveys; see Comparability.

The information in COOKFUEL is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Petroleum-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Gasoline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          LPG, natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          LPG (liquefied petroleum gas)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Bottled gas (butane or propane)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Biogas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Coal-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Coal, lignite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Coal, coke, lignite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Wood- or grass-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Firewood, straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Straw, shrub, grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Agricultural crop-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Crop residues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Maize or other crop waste
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Solar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          No food cooked in house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3102" name="B_KITCHEN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Household has separate room for kitchen
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[KITCHEN (HV242) indicates whether the household has a separate room used as a kitchen.

The information in KITCHEN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3103" name="B_COOKHOW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Whether food is cooked on open or closed heat source
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women in households where electricity or gas was not used for fuel, COOKHOW (HV239) indicates whether food was cooked on an open heat source (such as an open hire or open stove) or on a closed heat source (such as a closed stove with chimney).  

Cooking over an open fire produces indoor air pollution associated with lung diseases such as asthma, pneumonia, and chronic obstructive pulmonary disease.

The degree of detail in responses varies across surveys; see Comparability.

The information in COOKHOW is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Open heat source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Open fire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Open stove
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Open fire or stove without chimney/hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Open fire or stove with chimney/hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Closed heat source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Closed stove with chimney
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Stove, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3104" name="B_CHIMHOOD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH fire or stove has chimney or hood
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHIMHOOD (HV240) indicates whether households that cook with an open fire or stove have a chimney or hood for ventilation. 

The information in CHIMHOOD is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Neither chimney nor hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Chimney
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3105" name="B_COOKWHERE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Where cooking is usually done
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COOKWHERE (HV241) reports whether food for the household was cooked inside the dwelling unit, in a separate building, or outdoors.  

If cooking is done over an open fire, then household members' exposure to indoor air pollution (and associated risk of respiratory diseases) is greatest when cooking is done in the house, rather than in a separate building or outdoors.

The information in COOKWHERE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          In the house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          In a separate building
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Outdoors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3106" name="B_TOILETTYPE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of toilet facility
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TOILETTYPE (HV205) reports the household's type of toilet facility, with no facility coded "0."  Responses vary widely across surveys; see Comparability.

The information in TOILETTYPE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          FLUSH TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Unspecified type of flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Own flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1112
        </catValu>
        <labl>
          Outside residence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Shared flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1121
        </catValu>
        <labl>
          Public flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Modern flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Flush to piped sewer system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Flush to pipe connected to canal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Flush to pipe connected to ground water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1213
        </catValu>
        <labl>
          Flush, not to sewer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1214
        </catValu>
        <labl>
          Flush to septic tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Traditional with tank flush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Bucket flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1410
        </catValu>
        <labl>
          Flush to pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1420
        </catValu>
        <labl>
          Flush to somewhere else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1430
        </catValu>
        <labl>
          Flush, don't know where
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          NON-FLUSHING TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Composting toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Dry toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Ecosan toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PIT TOILET LATRINE
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Unspecified type of pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Own pit toilet or latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Shared pit toiletor latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Public pit toilet or latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Traditional pit toilet or latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Pit latrine without slab or open pit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Uncovered pit latrine, no slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Pit latrine with slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Pit latrine with washable slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Pit latrine with non-washable slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Ventilated improved pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3410
        </catValu>
        <labl>
          Covered pit latrine, no slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3420
        </catValu>
        <labl>
          Covered pit latrine with slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3430
        </catValu>
        <labl>
          Covered latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3440
        </catValu>
        <labl>
          Septic pit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3450
        </catValu>
        <labl>
          Latrine with manual flush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3460
        </catValu>
        <labl>
          Other improved system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          UNIMPROVED TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Bucket toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          River
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Hanging latrine over water source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3107" name="B_TOILETSHAREYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Household shares toilet facility
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TOILETSHAREYN (HV225) indicates whether the household has a toilet facility that is shared with at least one other household.  A "no" response (code "0") indicates the household has a toilet that is not shared; a "yes" response (code "1") indicates the household shares a toilet facility; "not in universe" (code "9") means the household has no toilet facility.

The information in TOILETSHAREYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3108" name="B_DRINKWTR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Major source of drinking water
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DRINKWTR (HV201) reports the household's main source of drinking water.  Responses vary widely across surveys; see Comparability.

The information in DRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PIPED WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Piped into own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Piped into own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Piped into own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Piped outside own residence/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Public tap/standpipe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Public tap from filtration plant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Public tap from stone pipes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Piped into neighbor's dwelling/yard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          WELL WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Unprotected/open well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Open well in own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Open well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Open well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Open public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Open well in neighbor's residence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Protected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Protected well in own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Protected well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Protected well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Protected well in neighbor's residence/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Protected public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Tube well or borehole
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2231
        </catValu>
        <labl>
          Borehole in yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2232
        </catValu>
        <labl>
          Public borehole
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Unspecified well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Unspecified well in residence/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Unspecified well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Unspecified well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Handpump in yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Unspecified public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Public shallow well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Public traditional well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Public handpump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Unspecified neighbor's well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Unspecified well by type
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2341
        </catValu>
        <labl>
          Well with pump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2342
        </catValu>
        <labl>
          Well without pump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          SURFACE WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Spring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Protected spring/surface water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Unprotected spring/surface water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          River/dam/lake/ponds/streams/canal/irrigation channel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          River, stream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Pond, lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          Dam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3240
        </catValu>
        <labl>
          Canal or river/canal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3250
        </catValu>
        <labl>
          Irrigation ditch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3260
        </catValu>
        <labl>
          Dugout pond
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Channeled by gravity flow scheme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RAINWATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Rainwater collected in tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          PURCHASED FROM SUPPLIER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Tanker truck
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Cart with small tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Water vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5310
        </catValu>
        <labl>
          Water vendor from unknown source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5320
        </catValu>
        <labl>
          Water vendor from protected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5330
        </catValu>
        <labl>
          Water vendor from unprotected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5340
        </catValu>
        <labl>
          Water vendor from pond/lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Bottled water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5410
        </catValu>
        <labl>
          Sachet water (in a bag)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5500
        </catValu>
        <labl>
          Community reverse osmosis plant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          OTHER SOURCE
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3109" name="B_WTRLOCATED" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH water source located in dwelling, plot, or elsewhere
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WTRLOCATED (HV235) indicates whether the main source of water for the household is located in the dwelling, in the household's yard or plot of land, or elsewhere. 

The information in WTRLOCATED is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Water from own dwelling or plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Water located in respondent's own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Water located in respondent's own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Water located elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          River
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Well outside plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other, elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3110" name="B_TIMETOWTRIND" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Time to water source (from individual respondent record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMETOWTRIND (V115) reports the amount of time, in minutes, to get to the household's major source of water, top-coded at 360+ minutes. This information is taken from the individual woman's record.

The complementary variable TIMETOWTRHH (HV204) reports the same information, taken from the household record.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 (on premises)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
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          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          One day or longer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          On premises
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3111" name="B_TIMETOWTRHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Time to reach water source and return, in minutes (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMETOWTRHH (HV204) reports the time in minutes it takes members of the household to get to their main source of water and return to their dwelling.  In IPUMS-DHS, this variable is top-coded at 360 minutes or more (6 hours or longer).

The information in TIMETOWTRHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
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      <catgry>
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          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          On premises
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3112" name="B_TREATWTRYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Household uses any method to treat drinking water
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TREATWTRYN (HV237) indicates whether the household used any treatment to make water safer to drink.

The information in TREATWTRYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3113" name="B_TRBLEACH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Adding bleach/chlorine
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRBLEACH (HV237B) indicates whether the household added bleach or chlorine to make water safer to drink.

The information in TRBLEACH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3114" name="B_TRBOIL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Boiling
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRBOIL(HV237A)  indicates whether the household boiled water to make it safer to drink.

The information in TRBOIL is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, most of the time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, some of the time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3115" name="B_TRCLOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Straining through cloth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRCLOTH (HV237C) indicates whether the household strained water through cloth to make the water safer to drink.

The information in TRCLOTH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3116" name="B_TRFILTER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Using water filters
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRFILTER (HV237D) indicates whether the household used a water filter to make water safer to drink.

The information in TRFILTER is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3117" name="B_TRSOLAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Solar disinfection
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRSOLAR (HV237E) indicates whether the household used solar disinfection to make water safer to drink.

The information in TRSOLAR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3118" name="B_TRSTAND" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Letting it stand
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRSTAND (HV237F) indicates whether the household let water stand to settle impurities, to make the water safer to drink.

The information in TRSTAND is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3119" name="B_TROTHER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Other methods
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TROTHER (HV237X) indicates whether the household used some "other" treatment to make water safer to drink. The meaning of other depends on the specific water treatment methods enumerated in a given survey.

The information in TROTHER is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3120" name="B_TRDK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Don't know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRDK (HV237Z) indicates whether the respondent did not know what treatment, if any, the household used to make water safer to drink.

The information in TRDK is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3121" name="B_WHOFETCHAGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age of household member who fetches water
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHOFETCHAGE (HV236) reports, in broad age and sex categories, the person who usually fetched water for households that used a water source not accessible in their own dwelling or yard.  Responses vary across samples; see Comparability.

The information in WHOFETCHAGE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Person age 18+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Adult woman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Adult woman with child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Adult man
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Person age 15-17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Female age 15-17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Male age 15-17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Person under age 15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Female child under 15 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Male child under 15 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Female and male child under 15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Other/not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Any household member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Water vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Vendor using animal transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Vendor using truck
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3122" name="B_HHPHONE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Household has telephone
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHPHONE (V153) indicates whether the household has a telephone. How the question was worded changed over time. See Comparability. The related variable MOBPHONE covers the household's access to a mobile phone, specifically.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3123" name="B_HHPHONEHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        House has telephone (household record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHPHONEHH (HV221) indicates whether any member of the household has a telephone (based on information from the household record).   

The information in HHPHONEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3124" name="B_MOBPHONE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has mobile phone
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MOBPHONE indicates whether the household had a mobile/cellular telephone.

The related variable HHPHONE indicates whether the household had a telephone, regardless of the type of phone, or had a non-mobile phone.

The information in MOBPHONE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3125" name="B_BIKE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has bicycle
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIKE (V123) indicates whether any member of the household has a bicycle.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3126" name="B_BIKEHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has bicycle (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIKEHH (HV210) indicates whether any member of the household has a bicycle. 

The information in BIKEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3127" name="B_CAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has car/truck
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CAR (V125) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3128" name="B_CARHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has car/truck (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CARHH (HV212) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability. 

The information in CARHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3129" name="B_MOTORCYCL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has motorcycle/scooter
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MOTORCYCL (V124) indicates whether any member of the household owns a motorcycle or scooter.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3130" name="B_MOTORCYCLHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has motorcycle/scooter (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MOTORCYCLHH (HV211) indicates whether any member of the household owns a motorcycle or scooter.

The information in MOTORCYCLHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3131" name="B_FRIDGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has refrigerator
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FRIDGE (V122) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or must be owned by the household. See comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3132" name="B_FRIDGEHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has refrigerator (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FRIDGEHH (HV209) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or owned by the household. See Comparability.

The information in FRIDGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3133" name="B_RADIO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has radio
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        RADIO (V120) indicates whether the household has a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3134" name="B_RADIOHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has radio (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RADIOHH (HV207) indicates whether any member of the household owns a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.

The information in RADIOHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3135" name="B_TELEVISION" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has television
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TELEVISION (V121) indicates whether the household has a television. Some samples specified that the TV must be in working order. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3136" name="B_TVHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has television (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TVHH (HV208) indicates whether any member of the household has a television. Some samples specified that the TV must be in working order. See Comparability.

The information in TVHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3137" name="B_WATCHCLOCK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has watch or clock
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WATCHCLOCK indicates whether the household has access to a timepiece, either a watch or a clock. The related variable CLOCKONLY indicates whether the household has a clock. See Comparability.

The information in WATCHCLOCK is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3138" name="B_BED" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has bed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BED indicates whether the household had a bed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3139" name="B_SOFA" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has sofa
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SOFA indicates whether the household had a sofa or "sofa set."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3140" name="B_TABLECHARYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has table and chairs
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TABLECHARYN indicates whether the household has a table and chairs. 

The information in TABLECHARYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3141" name="B_PARALAMPYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has paraffin/kerosene lamp
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PARALAMPYN indicates whether the household has a lamp that uses paraffin (kerosene) as fuel. 

The information in PARALAMPYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3142" name="B_OPARALAMPYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has paraffin lamp other than koloboyi
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OPARALAMPYN indicates whether the household has some paraffin lamp other than a koloboyi.  The related variable PARALAMPYN also covers household possession of a paraffin lamp, including a koloboyi (for Malawi specifically).

The information in OPARALAMPYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3143" name="B_BANKACC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has bank account
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BANKACC (HV247) indicates whether any member of the household has a bank account.

The information in BANKACC is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3144" name="B_AGLANDYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH owns land for agriculture (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGLANDYN (HV244) indicates whether any member of the household owned (or had use of) agricultural land. Question wording varies across samples; see Comparability.

The information in AGLANDYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3145" name="B_DRAWNCART" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH has animal-drawn cart
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DRAWNCART indicates whether a household member owned an animal-drawn cart. Question wording varied across samples; see Comparability.

The information in DRAWNCART is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3146" name="B_LIVESTOCKYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH owns livestock
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LIVESTOCKYN (HV246) indicates whether the household owned any livestock, herds, other farm animals, or, in some surveys, poultry.  This question was frequently included as a filter, to determine whether the respondent should be asked more specific questions about the household's ownership of specific types of animals or poultry.

The information in LIVESTOCKYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3147" name="B_CATTLEYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH owns cattle (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CATTLEYN indicates whether household owned any cattle. In some cases, the question referred specifically to local or indigenous cattle; see Comparability.  The complementary variable CATTLENUM reports the number of cattle owned by the household.

The information in CATTLEYN is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3148" name="B_CATTLENUM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of cattle owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CATTLENUM reports the number of cattle owned by the household.  In some cases, the question referred specifically to local or indigenous cattle; see Comparability.  The complementary variable CATTLEYN indicates whether household owned any cattle.

The information in CATTLENUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3149" name="B_SHEEPYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH owns sheep (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SHEEPYN indicates whether the household owned sheep.  The complementary variable SHEEPNUM reports the number of sheep owned by the household.

The information in SHEEPYN is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3150" name="B_SHEEPNUM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of sheep owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SHEEPNUM reports the number of sheep owned by the household.  The complementary variable SHEEPYN indicates whether household owned any sheep.

The information in SHEEPNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3151" name="B_GOATYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH owns goats (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GOATYN indicates whether the household owned goats.  The complementary variable GOATNUM reports the number of goats owned by the household.

The information in GOATYN is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3152" name="B_GOATNUM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of goats owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GOATNUM reports the number of goats owned by the household.  The complementary variable GOATYN indicates whether household owned any goats.

The information in GOATNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3153" name="B_PIGYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH owns pigs (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PIGYN indicates whether the household owned any pigs. The complementary variable PIGNUM reports how many pigs the household owned.

The information in PIGYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3154" name="B_PIGNUM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of pigs owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PIGNUM reports the number of pigs owned by the household. The complementary variable PIGYN indicates whether the household owned any pigs.

The information in PIGNUM is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3155" name="B_OTHERANYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        HH owns animals of some other type (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OTHERANYN indicates whether the household owns any other type of animals or livestock. The meaning of "other" depends on the specific animals asked about in a given sample. 

The information in OTHERANYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3156" name="B_OTHERANNUM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of animals of some other type owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OTHERANNUM reports the number of "other" animals owned by the household. The meaning of "other" depends on the specific animals asked about in a given sample. The related variable OTHERANYN indicates whether the household has any "other" animals.

The information in OTHERANNUM is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          More than 95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3157" name="B_CHICKNUM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of chickens owned by HH (topcoded)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHICKNUM reports the number of chickens owned by the household. In some cases, the question referred to other domestic fowl, as well; see Comparability.  The complementary variable CHICKYN indicates whether household owned any chickens.

The information in CHICKNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3158" name="B_SALTBRIDGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Iodized salt in household (bridging variable)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SALTBRIDGE serves as a bridging variable between two approaches to collecting information on the presence of iodized salt in the household. Initially, respondents were asked, "What type of salt is usually used for cooking in your household?" Respondents were also asked to show their salt package to the interviewer.

Beginning with Phase 4 of the standard DHS questionnaire, respondents were asked to provide the interviewer with a teaspoon of cooking salt, which the interviewer then tested. Iodine testing methods varied across phases and countries. 

SALTBRIDGE combines information from the first approach of asking about cooking salt (in SALTIODIZE (HV222)) and the second approach of testing the cooking salt for iodine (in SALTEST3 (HV234)).

The information in SALTBRIDGE is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT (V135) variable (with visitors coded "2").

See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Iodized salt in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Packaged salt - iodized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Non-iodized salt in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Packaged salt - noniodized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Salt not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Local salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Loose salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Salt for animals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Natron in block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Packaged salt - other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Other, n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Doesn't cook
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing/no salt available
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nutrition Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3159" name="B_SALTRESULT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Results of salt iodine test (from individual record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SALTRESULT (V166) reports the results of the salt iodine test, with information recorded on the individual person's record.

The following related variables, taken from the household record, report the results of the salt iodine test and are separated according to the type of test:

SALTEST1 (HV234) reports the iodine level in the household's cooking salt, using grouped values of 0 PPM, 7 PPM, 15 PPM or less, 15PPM or more, and 30 PPM.
SALTEST2 reports the iodine level in the household's cooking salt, using grouped values of 0 PPM, 1-25 PPM, 26-50 PPM, 51-75 PPM, and 76-100 PPM.
SALTEST3 (HV234A) indicates whether the household's cooking salt tested positive for iodine.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 ppm (No iodine)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          1-25 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          7 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          LT 15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          LE 15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          GE 15 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          26-50 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          30 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          51-75 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          1-75 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          76-100 ppm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Salt not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          No salt in the household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nutrition Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3160" name="B_SALTEST1" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Iodine level in HH salt, first grouping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SALTEST1 (HV234) reports the iodine level in the household's cooking salt, using grouped values. The levels are grouped based on PPM (parts per million). 

Universal salt iodization is recommended (by the World Health Organization and UNICEF) to prevent and correct iodine deficiency disorders (including goiter, hypothyroidism, deaf-mutism, mental retardation, dwarfism, stillbirth, and congenital abnormalities). However, unnecessarily high levels of iodine in salt may lead to occasional cases of hyperthyroidism.

The information in SALTEST1 is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.

The related variables SALTEST2 and SALTEST3 (HV234A) also report iodine levels in cooking salt, but with different groupings.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          7 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Less than 15 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          15 PPM or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          30 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Salt not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          No salt in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nutrition Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3161" name="B_BEDNETHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Household has bednet for sleeping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETHH (HV227) indicates whether the household has at least one mosquito bed net for use while household members are sleeping. 

The information in BEDNETHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3162" name="B_BEDNETNUM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of mosquito nets owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETNUM (HML1) reports how many mosquito nets were owned by the household. 
Responses were topcoded at 7+ bednets. Because of topcoding, the number of reported bednets cannot be meaningfully compared to the number of household members.

The information in BEDNETNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3163" name="B_BEDNETKIDLT5" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Children under 5 slept under bednet last night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETKIDLT5 (HV228) indicates whether any, some, or all of the children in the household under age five slept under a bed net the previous night.


Apart from universe differences, BEDNETKIDLT5 (HV228) has no comparability problems.

Comparability - Standard DHS

BEDNETKIDLT5 (HV228) is included in Phase IV forward of the standard DHS questionnaire.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          All children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Some children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          No net in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3164" name="B_BEDNETKIDS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of children under bednet previous night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDNETKIDS (HML2) reports the number of children in the household who slept under a mosquito net the previous night.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3165" name="B_BEDNETWINF" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of mosquito nets with specific information
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDNETWINF (HML1A) reports the number of mosquito nets with specific information the household has. Specific information can be related to the type (permanent/long-lasting insecticide-treated or pretreated) or the brand of the net.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3166" name="B_CURRWORK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Currently working
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CURRWORK (V714) indicates whether the woman is currently working at a job or business. To distinguish employment from household labor, many surveys included a preface such as the following: "As you know, some women take up jobs for which they are paid in cash or in kind. Others sell things, have a small business or work on the family farm or in the family business." Women who have worked outside of their own housework in the last 12 months and been paid in cash, cash and in-kind, or only in-kind payments are included as working, although the survey questions vary in who receives an affirmative response. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, prompted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3167" name="B_JOBABSENT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman has job from which she was absent in past week
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who did not work in the past 7 days, JOBABSENT (V714A) indicates whether the woman had a job or business from which she was temporarily absent, due to leave, illness, vacation, maternity leave, or other reasons.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3168" name="B_WKCURRJOB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman's occupation
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WKCURRJOB (V717) reports the occupation of the respondent in somewhat standardized categories. The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples. IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broad job categories) without loss of detailed information (preserved in the second digit).

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not currently working
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Professional, technical, or managerial worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Clerical or Sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Clerical worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sales worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Self-employed agricultural worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Agricultural employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Household, domestic, and services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Household and domestic worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Services worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Skilled and unskilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Skilled manual worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Unskilled manual worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3169" name="B_WHOWORKFOR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Whom the respondent works for
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WHOWORKFOR (V719) indicates whether the respondent works for a family member, for someone else, or is self-employed.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Works for self
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Works for someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          For family member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          For someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Works for self and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3170" name="B_WKWORKLASTYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Respondent worked recently
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKWORKLASTYR (V731) indicates whether the respondent worked recently (i.e., was currently working, was on leave from a job in the past 7 days, or worked in the past year).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Worked in the past year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Currently working
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Has a job, but on leave last 7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3171" name="B_WKEMPLOYWHEN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Respondent works all year, seasonally, or occasionally
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKEMPLOYWHEN (V732) indicates whether the woman works throughout the year, seasonally, or occasionally.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          All year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Less than all year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Most of the year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Part of the year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Seasonally
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Occasionally
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Temporary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3172" name="B_WKTYPELAND" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of land where respondent works
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKTYPELAND (V740) reports the type of land where the respondent has done agricultural work (currently or in the last 12 months).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Own land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Family land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Someone else's land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Rented land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other responses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Public land/govt allocation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Communal land/shifting cultivation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Sharecropper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Other, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3173" name="B_WKEARNTYPE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of earnings for respondent's work
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKEARNTYPE (V741) reports the type of earnings for the respondent's work.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not paid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Paid in cash only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Paid in cash and in kind
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Paid in kind only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3174" name="B_HUSJOB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Partner's occupation
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HUSJOB (V705) reports the occupation of the woman's husband/partner in somewhat standardized categories.  The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples.  IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broader job categories) without loss of detailed information (preserved in the second digit).  

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Did not work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Not working, student or applicant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Prof., Tech., Manag.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Clerical or Sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Clerical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Sales
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Agricultural, breeding, fishing, forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Agriculture, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Agriculture, employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Household, domestic, and services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Household and domestic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled and unskilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Skilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Unskilled manual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Army
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3175" name="B_WKEARNSMORE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman's earnings relative to husband/partner's earnings
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WKEARNSMORE (V746) indicates whether the woman earns more money, less money, or about the same amount of money as her husband/partner.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          More than him
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Less than him
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner has no earnings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Work Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3176" name="B_WEALTHQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Household wealth index in quintiles
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WEALTHQ (V190) refers to the relative wealth of the household where the woman lives, divided into quintiles from the poorest (code 1) to the richest (code 5).  The wealth index is defined in the DHS Recode Manuals as follows:


The wealth index is a composite measure of a household's cumulative living standard. The wealth index is calculated using easy-to-use data on a household's ownership of selected assets, such as televisions and bicycles; materials used for housing construction; and types of water access and sanitation facilities.  



Generated with a statistical procedure known as principal components analysis, the wealth index places individual households on a continuous scale of relative wealth. DHS separates all interviewed households into five quintiles of wealth.


For additional information about the calculation and meaning of the wealth index, users should consult the summary information about the wealth index on The DHS Program website here [URL omitted from DDI.] and/or the DHS Comparative Report on "The DHS Wealth Index" here [URL omitted from DDI.].

The complementary variable WEALTHS reports the wealth index factor score for the woman's household in a specific sample.  WEALTHQ and WEALTHS are included on the woman's record for Phase 5 forward only.  IPUMS-DHS has made available these variables for Phase 2 forward, by linking the wealth index files to the woman's individual recode files.

The variables used to calculate wealth index quintiles and the level of wealth implied by a specific ranking are sample-specific.  See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Poorest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Poorer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Middle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Richer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Richest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Wealth index Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3177" name="B_WEALTHS" files="F3" dcml="0" intrvl="contin">
      <labl>
        Wealth index factor score (5 decimals)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WEALTHS (V191) refers to the household's wealth index value generated by the product of standardized scores (z-scores) and factor coefficient scores (factor loadings) of wealth indicators. Most researchers will want to use instead the complementary variable WEALTHQ (V190), which reports quintile ranking (from poorest to richest) of the woman's household, in terms of wealth score, for a given sample. 

For further information about the calculation and meaning of the wealth index, see the description of WEALTHQ, the summary information about the wealth index on the DHS Program website here [URL omitted from DDI.] and/or the DHS Comparative Report on "The DHS Wealth Index" here [URL omitted from DDI.].

The variables used to calculate wealth index scores are sample-specific. See Comparability.]]>
      </txt>
      <codInstr>
        WEALTHS (V191) is a 12-digit numeric variable.
      </codInstr>
      <concept vocab="IPUMS">
        Wealth index Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3178" name="B_WHOPROP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Who received most of late husband's property
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently widowed, WHOPROP (V539) reports who received most of their late husband's assets and valuables. Women who were not the main beneficiary were asked a follow-up question about whether they received any of the late husband's assets or valuables; see ANYPROP.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other wife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Spouse's children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Spouse's family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Respondent's children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Unrelated person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Equal share with others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          No property
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3179" name="B_NOPROPLEGAL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Legal support after not receiving late husband's property
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NOPROPLEGAL indicates whether an ever-widowed woman received legal support or assistance after she did not receive most of her late husband's land and possessions.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3180" name="B_FEMOWNHOUSE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman owns house alone or jointly
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FEMOWNHOUSE (V745A) indicates whether the woman owns a house alone or jointly with someone else.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Does not own
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Owns alone only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Owns jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Owns jointly only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Owns both alone and jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3181" name="B_FEMOWNLAND" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman owns land alone or jointly
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FEMOWNLAND (V745B) indicates whether the woman owns land alone or jointly with someone else.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Does not own land
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Owns alone only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Owns jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Owns jointly only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Owns both alone and jointly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3182" name="B_LIT2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Literacy, based on reading passage
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LIT2 (V155) indicates whether the woman could read. This variable is available beginning with Phase 4 of the DHS.

Persons with less than secondary school education were asked to demonstrate their literacy level by reading aloud a sentence on a card and were classified as "cannot read at all," "able to read only parts of sentence," and "able to read whole sentence."  As with LIT1 (V108), those with secondary or higher schooling were presumed to have attained the highest literacy level.       

For Phases 1-3 of the DHS, information on literacy was collected using a different approach, by simply asking whether the person could read (LIT1). See LITBRIG for information about using the data on literacy across all phases of the DHS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Cannot read at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Reads
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Able to read only part of sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Able to read whole sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not ascertained (blind, diff. language)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          No card with required language
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Blind or visually impaired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3183" name="B_LITBRIG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Literacy bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LITBRIG serves as a bridging variable between two approaches to collecting information on literacy.  Initially, respondents were asked, "Can you read a letter or newspaper easily, with difficulty, or not at all?"  In many countries, persons with secondary or higher levels of schooling were presumed to "read easily," but coding criteria varied across countries. 

Beginning with Phase 4 of the DHS, persons with less than secondary school education were asked to demonstrate their literacy level by reading aloud a sentence on a card and were classified as "cannot read at all," "able to read only parts of sentence," and "able to read whole sentence."  As before, those with secondary or higher schooling were presumed to have attained the highest literacy level.       

LITBRIG combines information from the first approach of asking about literacy (in LIT1 [V108]) and the second approach of testing literacy based on reading a sentence aloud (in LIT2 [V155]).  

See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, reads
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Reads easily/whole sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Reads with difficulty/part of sentence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          No, cannot read
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Not ascertained (blind or diff. language)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          No card with required language
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Blind or visually impaired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3184" name="B_LITPROGRAMEV" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Respondent ever attended literacy program
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LITPROGRAMEV (V156) indicates whether the respondent ever participated in a literacy program or any other program that involves learning to read and write (not including primary school).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3185" name="B_EDUCLVL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Highest educational level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who ever went to school, EDUCLVL (V106) reports the highest level of school they attended. Countries vary in the gradations of their school systems, but EDUCLVL is a standardized variable reporting level of education in four broad categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3186" name="B_YRSCHL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Highest year of education in level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who ever attended school, YRSCHL (V107) reports the number of years of education completed at the highest level of schooling achieved (primary, secondary, or higher), as reported in EDUCLVL (V106). See Comparability.

For the woman's total years of education, see EDYRTOTAL (V133).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3187" name="B_EDYRTOTAL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total years education
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDYRTOTAL (V133) reports the woman's education level in single years. This variable is constructed from responses to EDUCLVL (V106) and YRSCHL (V107) as follows:

If EDUCLVL = "No education," EDYRTOTAL = "0"
If EDUCLVL = "Primary," EDYRTOTAL = YRSCHL
If EDUCLVL = "Secondary," EDYRTOTAL = YRSCHL + x
If EDUCLVL = "Higher," EDYRTOTAL = YRSCHL + y
If EDUCLVL = "Missing," EDYRTOTAL = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3188" name="B_EDACHIEVER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Summary educational achievement
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDACHIEVER (V149) is a summary variable that reports the woman's highest level of education in broad categories. Countries vary in the gradations of their school systems, but EDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher.

EDACHIEVER is constructed from information contained in EDUCLVL (V106) and YRSCHL (V107).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Incomplete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Complete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Incomplete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Complete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3189" name="B_HUSEDLVL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Partner's educational level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had ever been married or lived with a man, HUSEDLVL (V701) reports the highest level of school attended by their most recent husband/partner. Countries vary in the gradations of their school systems, but HUSEDLVL is a standardized variable reporting the level of education in four categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3190" name="B_HUSEDYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Partner's highest year of education in level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women whose most recent husband/partner had ever attended school, HUSEDYR (V702) reports the number of years of schooling completed by their husband/partner at the educational level (primary, secondary, or higher) reported in HUSEDLVL (V701).

For the husband's total years of education, see HUSEDYRS (V715).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3191" name="B_HUSEDYRS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Partner's education in total years schooling
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had ever been married or lived with a man, HUSEDYRS (V715) reports the education of the woman's most recent husband/partner in single years. This variable is constructed from responses to HUSEDLVL (V701) and HUSEDYR (V702) as follows:

If HUSEDLVL = "No education," HUSEDYRS = "0"
If HUSEDLVL = "Primary," HUSEDYRS = HUSEDYR 
If HUSEDLVL = "Secondary," HUSEDYRS = HUSEDYR + x
If HUSEDLVL = "Higher," HUSEDYRS = HUSEDYR + y
If HUSEDLVL = "Missing," HUSEDYRS = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3192" name="B_HUSEDACHIEVER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Husband's summary educational achievement
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HUSEDACHIEVER (V729) is a summary variable that reports the highest level of education in broad categories for the woman's husband/partner. Countries vary in the gradations of their school systems, but HUSEDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher. 

HUSEDACHIEVER is constructed from information contained in the HUSEDLVL (V701) and HUSEDYR (V702) variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Incomplete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Complete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Incomplete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Complete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3193" name="B_NEWSFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency of reading newspaper or magazine
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NEWSFQ (V157) reports how often the woman usually reads a newspaper or magazine (not at all, less than once a week, once a week or more often, or almost every day). 

For a potentially comparable variable asking whether the woman reads the newspaper or a magazine at least once a week, see NEWSWK (V109). For a variable bridging NEWSFQ and NEWSWK, see NEWSBRIG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Once a week or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3194" name="B_NEWSBRIG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reads newspaper: Bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NEWSBRIG serves as a bridging variable between two approaches to collecting information on exposure to newspapers and magazines.  For DHS Phases 1-3, respondents were asked whether they read a newspaper or magazine at least once a week (NEWSWK (V109)).  Beginning in DHS Phase 4, respondents were asked how often they read newspapers or magazines (NEWSFQ (V157)). 

NEWSBRIG uses composite coding to combine data from these two approaches. See Comparability for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No, not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3195" name="B_TVFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency of watching television
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TVFQ (V159) reports how often the woman usually watches television (not at all, less than once a week, at least once a week, or almost every day).

For a comparable variable asking whether the woman watches television at least once a week, see TVWK (V110). For a variable bridging TVFQ and TVWK (V110), see TVBRIG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Once a week or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3196" name="B_TVBRIG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Watches television: Bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TVBRIG serves as a bridging variable between two approaches to collecting information on exposure to television.  For DHS Phases 1-3, respondents were asked whether they watch television at least once a week (TVWK (V110)).  Beginning in DHS Phase 4, respondents were asked how often they watch television (TVFQ (V159)). 

TVBRIG uses composite coding to combine data from these two approaches; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No, not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No, less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3197" name="B_RADIOFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency of listening to radio
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RADIOFQ (V158) reports how often the woman usually listens to the radio (not at all, less than once a week, at least once a week, or almost every day).

For a comparable variable that asks about whether the woman listens to the radio at least once a week, see RADIOWK (V112). For a variable bridging RADIOFQ and RADIOWK (V112), see RADIOBRIG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Once a week or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3198" name="B_RADIOBRIG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Listens to radio: Bridging variable
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RADIOBRIG serves as a bridging variable between two approaches to collecting information on exposure to the radio.  For DHS Phases 1-3, respondents were asked whether they listen to the radio at least once a week (RADIOWK (V112)).  Beginning in DHS Phase 4, respondents were asked how often they listen to the radio (RADIOFQ (V158)). 

RADIOBRIG uses composite coding to combine data from these two approaches; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Less than once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          At least once a week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Almost every day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Media exposure Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3199" name="B_DECBIGHH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Final say on making large household purchases
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECBIGHH (V743B) indicates who in the woman's household usually makes decisions regarding large household purchases.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Other senior male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Other senior female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Family elders/relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3200" name="B_DECDAILYPUR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Final say on household purchases for daily needs
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECDAILYPUR (V743C) indicates who in the woman's household usually makes decisions regarding household purchases for daily needs.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3201" name="B_DECFAMVISIT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Final say on visits to family or relatives
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECFAMVISIT (V743D) indicates who in the woman's household usually makes decisions regarding (the woman's) visits to family or relatives.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Family elders/relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3202" name="B_DECFEMEARN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Final say on spending woman's earnings
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have worked in the last 12 months and were paid in cash or in cash and in kind in the last 12 months, DECFEMEARN (V739) indicates who in the woman's household usually makes decisions regarding how the income she earns is spent.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mother or father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Aunt or uncle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Family elders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Someone else, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other or not applciable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3203" name="B_DECHUSEARN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Final say on spending husband's earnings
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently married or living with a man, DECHUSEARN (V743F) indicates who in the woman's household usually makes decisions regarding how the income her husband or partner earns is spent.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Family elders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Someone else, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other or not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Husband/partner has no earnings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3204" name="B_DECFEMHCARE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Final say on woman's health care
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DECFEMHCARE (V743A) indicates who in the woman's household usually makes decisions regarding the woman's own healthcare.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Woman alone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Woman and husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Woman and someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other/not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Family elders/relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Decision-making Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3205" name="B_FERTPREF" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Fertility preferences
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For countries with low contraceptive prevalence, FERTPREF (V602) reports responses to the question, "Would you like to have a (another) child or would you prefer not to have any (more) children"?  The standard response categories are "have another," "no more/none," "says she can't get pregnant," and "undecided or don't know."   

In Phase I, FERTPREF (V602), was constructed from two questions in countries with high contraceptive prevalence (Model "A" questionnaires). Women who responded that they want another child, but when asked when they would like the next child, respond that they cannot get pregnant, are classified in the "declared infecund category," and not in the "Wants another" category. 

Some samples also include the response "up to God." More detailed responses under the general category "says she can't get pregnant" are sometimes available. In IPUMS-DHS, all responses in the general category of "not at risk of pregnancy" share a common first digit of 5, while the second digit distinguishes between the specific reasons.  In some countries, women who never had sexual intercourse (coded as "53" in IPUMS-DHS) were not asked the questions relating to their desire for future children.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Have another
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Undecided
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          No more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Not at risk of pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Sterilized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Declared infecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3206" name="B_UNMETNEED" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Unmet need for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[UNMETNEED (V624) is a constructed variable that reports a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The following describes the constructed categories in more detail:

Unmet need for spacing includes pregnant women whose pregnancy was mistimed, postpartum amenorrheic women whose last birth was mistimed, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and say they want to wait two or more years for their next birth, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Unmet need for limiting includes pregnant women whose pregnancy was unwanted, postpartum amenorrheic women whose last birth was unwanted, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and who want no more children. 
Met need for spacing includes women who are using some method of family planning and say they want to have another child, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Met need for limiting includes women who are using family planning and who want no more children. 

Note that the specific methods (modern or traditional) are not taken into account here.

Met need describes women who have no need for contraceptive methods, either because they desire a child soon (within the next two years) or because they are menopausal or infecund. 

In high contraceptive prevalence countries (Model "A" countries), pregnant and postpartum amenorrheic women whose pregnancy was the result of a contraceptive failure are not included in the category of unmet need, but they are categorized as spacing failures or limiting failures. In low contraceptive prevalence countries (Model "B" countries), no such distinction is made, since information was not collected on contraceptive failure. Infecund women are also excluded from the unmet need categories.


The  "Online Guide to DHS Statistics" provides the following definitions:
  Fecundity:  A woman is assumed to be fecund unless she declares that she is infecund, had a hysterectomy, or is menopausic.  Women who are neither pregnant nor postpartum amenorrheic but who have not menstruated for six or more months, and married women who have not used contraception in the past five years but have not had a birth and are not pregnant, are also considered infecund.
 Failure to Space:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say they wanted the current pregnancy later.
 Failure to Limit:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say that they did not want another child before they became pregnant.

Excluded from the unmet need category are women who became pregnant while using a method (these women are in need of a better method of contraception).

The infecund or menopausal category on the UNMETNEED (V624) variable contains fewer cases than the EXPOSURE1 variable, because women who are categorized as infecund or menopausal, but are currently using a contraceptive method, are recorded in the two "met need" categories in UNMETNEED.


UNMETNEED (V624) incorporates responses to the following variables:

 [EXPOSURE1/V623], which reports the woman's exposure to the risk of pregnancy, defined as pregnant, postpartum amenorrheic, menopausal or infecund, and fecund. 
 [ V225], which reports whether a current pregnancy was wanted then, later or not at all (for women who were pregnant at the time of interview). 
 [KIDDESIRE/V605] ,which reports whether the woman wants more children and when she would like them.
 [FPMETHNOW/V312] which reports the woman's current use of contraception. 

Users are also encouraged to see details of this variable provided in the "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Has unmet need for FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unmet need to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Unmet need to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Now using FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Using to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Using to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Had FP failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Spacing failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Limiting failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Future need for FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          No sex, want to wait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Not at risk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Infecund or menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Not in union, not sexually active
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          No unmet need
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Desire birth in less than 2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3207" name="B_UNMETNEED2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Unmet need for FP (2nd def)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[UNMETNEED2 (V626) is a constructed variable that indicates a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  UNMETNEED2 is similar to UNMETNEED, but UNMETNEED2 differently categorizes women who are infecund or menopausal but are currently using a contraceptive method. 

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of UNMETNEED2 uses a definition of fecundity based on exposure status as reported in EXPOSURE2. UNMETNEED, by contrast, uses a definition of exposure status as reported in EXPOSURE1. See the descriptions of these two variables for discussion of their differences.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Has unmet need for FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Unmet need to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Unmet need to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Now using FP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Using to space
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Using to limit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Family limitation failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Spacing failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Limiting failure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          No unmet need
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Desire birth in less than 2 yrs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Not at risk for pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Infecund, menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          No sex, want to wait/not married and no sex in last 30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3208" name="B_KIDDESIRE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Desire for more children
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[KIDDESIRE (V605) is a constructed variable that distinguishes between women who want another child soon (in less than two years), who want another child later (in 2+ years), who want no more children, and who aren't sure (about timing or about the number of children desired).  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of this variable has changed across phases of the DHS and varies across countries (only sometimes distinguishing between groups of women not at risk of pregnancy due to sterilization, infecundity, or virginity).  To maximize comparability across samples, IPUMS-DHS employs composite coding.  Women who want more children share a common first digit of 1, women not at risk of pregnancy share a common first digit of 6, and detail present in only some samples is specified in the code's second digit.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Wants more children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Wants within 2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Wants after 2+ years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Wants, unsure timing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Undecided
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Wants no more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Fatalistic response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Not at risk of pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Sterilized
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Declared infecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3209" name="B_FPLCHDESIRE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Wanted last child
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPLCHDESIRE (V367) reports whether the woman's last born child was wanted at the time she got pregnant, was wanted but at a later time, or was not wanted at all. The cutoff point for when the woman's last child was born varies across samples; see Comparability.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Wanted last child then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wanted last child later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Wanted no more children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3210" name="B_PGDESIRE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Time wanted current pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently pregnant, PGDESIRE (V225) reports whether, at the time of becoming pregnant, the woman wanted her pregnancy then, later, or not at all.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Then
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/Not sure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3211" name="B_IDEALKID" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[IDEALKID (V613) reports the ideal total number of children the woman would have liked to have in her whole life, regardless of her actual childbearing. The information is collected through hypothetical questions such as, "If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?" (for women with living children) or "If you could choose exactly the number of children to have in your whole life, how many would that be?" (for women without living children).

If the woman responded with a range of values, IDEALKID reports the midpoint between those values. According to the DHS Recode Manuals, "If the midpoint is not an exact number then the number is rounded up in half the cases and rounded down for the other half." The questionnaires included space for non-numeric "other" responses, such as "Up to God."

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Up to God/As Allah wills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          As many as can care for
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Doesn't want children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3212" name="B_IDEALKIDGRP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of children (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Like IDEALKID, IDEALKIDGRP (V614) reports the total number of children the woman would hypothetically like to have in her whole life, regardless of her actual childbearing, but top-codes numeric responses at 6+ children and codes non-numeric responses as 7.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          [no label]
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3213" name="B_IDEALBOYS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of boy children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Based on a follow-up question to IDEALKID (V613), which collects information about the ideal number of children the woman would hypothetically want to have in her whole life, IDEALBOYS (V627) reports how many of these children would ideally be boys.

Numeric responses to IDEALBOYS (V627), IDEALGIRLS (V628), and IDEALBOTH  (V629) should sum to the total number of children in IDEALKID (V613).  Non-numeric responses (such as "up to God") are allowed for each of these variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Up to God/As Allah wills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          No sex preference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3214" name="B_IDEALGIRLS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of girl children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Based on a follow-up question to IDEALKID (V613), which collects information about the ideal number of children the woman would hypothetically want to have in her whole life, IDEALGIRLS reports how many of these children would ideally be girls.

Numeric responses to IDEALGIRLS (V628), IDEALBOYS (V627), and IDEALBOTH (V629) should sum to the total number of children in IDEALKID (V613).  Non-numeric responses (such as "up to God") are allowed for each of these variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          God's decision/Allah's will
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          No sex preference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3215" name="B_IDEALBOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ideal number of children of either sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Based on a follow-up question to IDEALKID (V613), which collects information about the ideal number of children the woman would hypothetically want to have in her whole life, IDEALBOTH (V629) reports the ideal number of children of either sex (i.e., with no gender preference).

Numeric responses to IDEALGIRLS (V628), IDEALBOYS (V627), and IDEALBOTH (V629) should sum to the total number of children in IDEALKID.  Non-numeric responses (such as "up to God") are allowed for each of these variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Up to God/As Allah wills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Any number/Fatalistic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Never thought about it
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          As many as possible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Depends on husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Number she has currently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3216" name="B_IDEALBTHFUT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ideal time before future birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        IDEALBTHFUT (V616) reports how long the woman would like to wait before the birth of a/another child.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Months, unspecified number
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35+ years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, unspecified number
        </labl>
      </catgry>
      <catgry>
        <catValu>
          989
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          After finishing school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          After marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          When husband returns
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          After breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          At any time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Soon/now
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3217" name="B_PREFTIMECH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Preferred waiting time for birth of a(nother) child
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who want to have a/another child, PREFTIMECH (V603) reports the amount of time, in months or years, they would like to wait before the birth of a/another child (top-coded at 20 years). The complementary variable PREFTIMECH (V604) reports responses to the same question, but in terms of years only, top-coded at 6+ years. 

PREFTIMECH includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples, and the way this variable was asked and calculated also changed over time; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than one month (want now)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          98 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Months, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Less than one year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 years or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Years, number unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          987
        </catValu>
        <labl>
          After weaning
        </labl>
      </catgry>
      <catgry>
        <catValu>
          989
        </catValu>
        <labl>
          After finishing school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          When spouse returns
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Up to God
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          After marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Any time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Soon or immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Other, non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3218" name="B_PREFTIMECHGP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Preferred waiting time for birth of a(nother) child (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who want to have a/another child, PREFTIMECHGP (V604) reports the amount of time, in years, they would like to wait before the birth of a/another child, top-coded at 6+ years.  

PREFTIMECHGP includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples; see Comparability. 

The related variable PREFTIMECH presents the same information in greater detail, in terms of months or years, top-coded at 20 years.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 or more years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3219" name="B_FPDECIDER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Decision-maker for using FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women using family planning, FPDECIDER (V632) reports who decided on the use of contraception (mainly the woman, mainly her partner, joint decision, or someone else).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Mainly husband, partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mainly respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Joint decision
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3220" name="B_HUSFERTPREF" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Husband's desire for children
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HUSFERTPREF (V621) reports whether the woman believes her partner wants the same number of children, more children, or fewer children than she wants.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Both want same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Husband wants more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Husband wants fewer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Both provided non-numeric response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3221" name="B_FPHUSKNOUS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Husband knows respondent is using FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPHUSKNOUS (V634) indicates whether the woman's husband or partner knows that she is using a method of family planning.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3222" name="B_EXPOSURE1" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Fecund, pregnant, amenorrheic, or infecund
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EXPOSURE1 (V623) is a constructed variable that draws upon responses to several questions to differentiate between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

According to the DHS Recode Manuals, these categories are actualized as follows:

Pregnant women
Postpartum amenorrheic women are those whose period has not returned since the last birth in the three/five years preceding the survey.
Women are defined as being menopausal if they are not pregnant and not postpartum amenorrheic, are not currently using a contraceptive method, and have not had a period in the six months preceding the survey or report they are in menopause.
Women are defined as being infecund if they are not menopausal and not postpartum amenorrheic and not pregnant, have had no birth in the five years preceding the survey, and either (Model "A" countries) have been continuously married and have not used contraception in the five years preceding the survey, or (Model "B" countries) have been married one time and first married five or more years before the survey and have never used contraception.
Fecund women are all women not included in the preceding categories.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Fecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Amenorrheic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Infecund, menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3223" name="B_EXPOSURE2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Fecund, pregnant, amenorrheic, or infecund (2nd def)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Like EXPOSURE1, EXPOSURE2 (V625) is a constructed variable that draws upon responses to several questions to distinguish between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women. EXPOSURE2 uses a more liberal definition of infecundity than EXPOSURE1, however.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The DHS Recode Manuals explain the differences between these two variables as follows:

For Model "B" countries, it is only possible to say that a woman had been continuously married throughout the preceding five years if she was in her first union. This definition has been relaxed in V625 [EXPOSURE2], such that the respondent need only have been married at least five years ago, and not continuously married throughout the last five years. For Model "A" countries, there is no change to this part of the definition.

[For EXPOSURE2] Two additional variables have been used to declare a woman infecund. If the respondent said that she cannot get pregnant when asked about preferences for additional children, or if she reported that she was menopausal or had a hysterectomy when giving the reason she was not currently using a contraceptive method, the respondent is coded as infecund.

Model A countries and Model B countries are defined according to whether the country based its questionnaire on the Model A or Model B standard DHS questionnaire for DHS phases one through four. In general, the Model A questionnaire was designed for use in countries with high contraceptive prevalence. Nonetheless, countries with relatively low contraceptive prevalence sometimes modeled their own questionnaire on the Model A standard questionnaire. This was the case, for example, for the Kenyan samples for 1998 and 2003 and the Malawi samples for 2000 and 2004.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Fecund
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Amenorrheic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Infecund, menopausal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3224" name="B_FPKNOTYP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know any type of FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOTYP (V301) is a summary (recoded) variable indicating whether the woman knew any family planning method and, if so, whether she knew a modern method or only a traditional or folkloric method.  

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception.  

Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence.  Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet) that vary across samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Knows no method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Knows only traditional or folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Knows only folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Knows only traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Knows modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3225" name="B_FPKNOPILL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about Pill for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOPILL (V304_01) indicates whether the woman knew about the Pill as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3226" name="B_FPKNOIUD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about IUD for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOIUD (V304_02) indicates whether the woman knew about the IUD (intra-uterine device) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probe questions, an IUD was often described as "a loop or coil placed inside them by a doctor or a nurse."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3227" name="B_FPKNOINJ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about injectable FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOINJ (V304_03) indicates whether the woman knew about injectables as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. For the probe question, injectables were typically defined as "an injection by a doctor or nurse, which stops them from becoming pregnant for several months."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3228" name="B_FPKNODIA" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about diaphragm for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNODIA (V304_04) indicates whether the woman knew about the diaphragm as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3229" name="B_FPKNOCON" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOCON (V304_05) indicates whether the woman knew about male condoms as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3230" name="B_FPKNOFST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about female sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOFST (V304_06) indicates whether the woman knew about female sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3231" name="B_FPKNOMST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about male sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOMST (V304_07) indicates whether the woman knew about male sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3232" name="B_FPKNOFC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about female condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOFC (V304_14) indicates whether the woman knew about female condoms as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3233" name="B_FPKNOIMP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about implants or Norplant for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOIMP (V304_11) indicates whether the woman knew about implants (such as Norplant) as a method for family planning. Implants were generally described as "small rods placed in their arm by a doctor, which stops them from becoming pregnant for several years."

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3234" name="B_FPKNOEMRG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Knows about emergency contraception a as a method of family planning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOEMRG indicates whether the woman knew about emergency contraception as a method for family planning. The complementary variable FPEVUSEMRG indicates whether the woman had ever used emergency contraception to delay or avoid a pregnancy.  

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3235" name="B_FPKNOWD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about withdrawal for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOWD (V304_09) indicates whether the woman knew about withdrawal as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3236" name="B_FPKNORHY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about rhythm for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNORHY (V304_08) indicates whether the woman knew about the rhythm method (periodic abstinence at the high-fertility part of the woman's menstrual cycle) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3237" name="B_FPKNOOM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Knows about other contraceptive as a method of family planning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPKNOOM (V304_10) indicates whether the woman knew about any "other" method(s) as a method of family planning. The complementary variable FPEVUSOM indicates whether the woman had ever used any "other" method(s) to delay or avoid a pregnancy. The meaning of "other" in this case depends on the specific response categories included in a given sample. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, spontaneously
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, probed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Method not asked about at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3238" name="B_FPCUREFF" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Told about side effects of FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUREFF (V3A02) indicates whether the woman was told by anyone about potential side effects of her current contraceptive method when she first obtained it. The related variable FPCURDEAL indicates whether the woman was told how to deal with these side effects.

Users should be careful to distinguish this variable from FPCUREFFWKR (V3A03), which indicates whether the woman was told about side effects by a health or family planning worker.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3239" name="B_FPCURDEAL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Told how to deal with side effects of FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCURDEAL (V3A04) indicates whether the woman was told how to deal with the side effects of her current contraceptive method when she first obtained it.

The related variable FPCUREFF (V3A02) indicates whether the woman was told about the sides effects in general. FPCUREFFWKR (V3A03) indicates whether the woman was told about side effects by a health/family planning worker.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3240" name="B_FPCUREFFWKR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Told about side effects by family planning worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUREFFWKR (V3A03) indicates whether the woman was told by a health or family planning worker about potential side effects of her current contraceptive method when she first obtained it. The related variable FPCURDEAL indicates whether the woman was told how to deal with these side effects.

Users should be careful to distinguish this variable from FPCUREFF (V3A02), which indicates whether the woman was told about side effects by anyone.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3241" name="B_FPCUROM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Told about other FP methods
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUROM (V3A05) indicates whether the woman was told by anyone about other potential contraceptive methods she could use when she first obtained her current method. Universes vary across samples; see Comparability.

Users should be careful to distinguish this variable from FPCUROMWKR (V3A06), which indicates whether the woman was told about other potential methods by a health or family planning worker.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3242" name="B_FPCUROMWKR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever told about other family planning methods by FP worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPCUROMWKR (V3A06) indicates whether the woman was told by a health or family planning worker about other potential contraceptive methods she could use when she first obtained her current method. Universes vary across samples; see Comparability.

Users should be careful to distinguish this variable from FPCUROM (V3A05), which indicates whether the woman was told about other potential methods by anyone.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3243" name="B_FPTYPNOW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Current FP use by method type (folk, traditional, modern)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPNOW (V313) indicates whether the woman is currently using a modern, traditional, or folkloric method of contraception.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Folkloric or traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3244" name="B_FPUSPATRN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Pattern of use of contraceptive method
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPUSPATRN (V361) reports the woman's pattern of contraceptive use by indicating whether she is currently using, has used in the past, or has never used contraception.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Currently using
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Ever used, but not currently using
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Used since last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Used before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Never used
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3245" name="B_FPMETHNOW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Current method of FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPMETHNOW (V312) reports the contraceptive method the woman is currently using.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Answers are grouped under the broad categories of "modern methods," "traditional methods," and "other methods," each with a different first digit. Specific methods are distinguished by the second and third digits. See FPEVUSE for more information on broad categories of contraception.

Closely related responses, such as various groupings of diaphragm/foam/jelly, share the first 2 digits in common, while the third digit distinguishes the exact response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not using
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          MODERN METHODS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Pill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          IUD
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Norplant/Implants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Female Condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Female Sterilization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Male Sterilization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Injections
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Injection (3 monthly)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Injection (monthly)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Diaphragm/Foam/Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Diaphragm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Diaphragm/Foam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Diaphragm/Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Foam or Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Foaming tablets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Vaginal methods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Lactational amenorrhea (LAM)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Prolonged breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Emergency contraception
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          TRADITIONAL METHODS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Abstinence or periodic abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Periodic abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Cycle Beads/Standard days method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Mucus method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Natural family planning, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Withdrawal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Other traditional/folkloric
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Herbs/Plants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Gris-Gris/Amulet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Astrology
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Strings
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          OTHER METHOD, UNSPECIFIED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Other specific method 1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Other specific method 2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Other specific method 3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Other specific method 4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3246" name="B_FPNOWUSPILL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Pill
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant and who ever used the Pill, FPNOWUSPILL (V307_01) indicates whether the woman is now using the Pill.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3247" name="B_FPNOWUSINJ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Injections
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSINJ (V307_03) indicates whether the woman is now using injectable contraception.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3248" name="B_FPNOWUSIUD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: IUD
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSIUD (V307_02) indicates whether the woman is now using an IUD.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3249" name="B_FPNOWUSIMP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Implants
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSIMP (V307_11) indicates whether the woman is now using a contraceptive implant, such as Norplant, to delay or avoid getting pregnant.  

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3250" name="B_FPNOWUSFST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Female sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSFST (V307_06) indicates whether the woman is now using female sterilization.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3251" name="B_FPNOWUSMST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Male sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSMST (V307_07) indicates whether the woman is now using male sterilization.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3252" name="B_FPNOWUSCON" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSCON (V307_05) indicates whether the woman is now using the male condom.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3253" name="B_FPNOWUSFC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSFC (V307_14) indicates whether the woman is now using the female condom to delay or avoid getting pregnant. 

Users should be careful to distinguish this variable from FPNOWUSCON, which refers to the male condom. 

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3254" name="B_FPNOWUSEMRG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Emergency contraception
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSEMRG indicates whether the woman is now using a form of emergency contraception to delay or avoid getting pregnant. 

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3255" name="B_FPNOWUSRHY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Rhythm
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSRHY (V307_08) indicates whether the woman is now using rhythm (periodic abstinence).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3256" name="B_FPNOWUSWD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Withdrawal
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently doing something to delay or avoid getting pregnant, FPNOWUSWD (V307_09) indicates whether the woman is now using withdrawal.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3257" name="B_FPNOWUSOM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP method currently used: Other method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPNOWUSOM (V307_10) indicates whether the woman is now using some "other" contraceptive method to delay or avoid getting pregnant. The meaning of "other" depends on the specific response categories included in a given sample. 

IPUMS-DHS users may also be interested in FPMETHNOW (V312), which reports the woman's current contraceptive method.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3258" name="B_FPCURSTMO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Month of calendar year when started using current FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently using family planning, FPCURSTMO reports the month of the calendar year when they first started using their current method. The year when the woman first started using her current method is reported in FPCURSTYR.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3259" name="B_FPCURSTYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Year when started using current FP method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1960" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently using family planning, FPCURSTYR reports the year when they first started using their current method. The calendar month when the woman first started using her current method is reported in FPCURSTMO.
      </txt>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3260" name="B_FPCURSTCMC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Date when started using current FP method (CMC)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are currently using family planning, FPCURSTCMC reports the century month code for the date when the woman started using her current method.
      </txt>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3261" name="B_FPCURCOMP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information: Start date of current method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPCURCOMP reports the completeness of information about the start date of the woman's current contraceptive method.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year given
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Month imputed, year given
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Month given, year imputed (date placed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          No information given (date placed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3262" name="B_FPCURNOMO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Months of use of current family planning method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are currently using a contraceptive method, FPCURNOMO (V337) reports the number of months they have been continuously using their current method.

Starting in Phase II, there are differences in the way these data are reported between Model "A" and Model "B" countries, due to the inclusion of a detailed calendar of events in the five years preceding the interview in Model "A" questionnaires. For Model "B" questionnaires, any response greater than 8 years is topcoded at "96." However, for Model "A" questionnaires, the maximum duration of use that could be recorded is the entire length of the calendar (i.e., 5 years).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96 or more months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          All calendar years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3263" name="B_FPNOW1SRC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        First source for contraception for current method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPKNOW1SRC (V3A07) reports the first source for the respondent's current method of contraception.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Regional/provincial hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1140
        </catValu>
        <labl>
          Urban hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1150
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1151
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1152
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1160
        </catValu>
        <labl>
          Category I hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1170
        </catValu>
        <labl>
          Category II hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1180
        </catValu>
        <labl>
          University/teaching hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1181
        </catValu>
        <labl>
          University hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1182
        </catValu>
        <labl>
          Teaching hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1260
        </catValu>
        <labl>
          Family welfare center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1270
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1280
        </catValu>
        <labl>
          Category I health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1290
        </catValu>
        <labl>
          Category II health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Stand-alone family planninc clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1320
        </catValu>
        <labl>
          Mobile family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1410
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1411
        </catValu>
        <labl>
          Village health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1420
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1430
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1431
        </catValu>
        <labl>
          Fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1432
        </catValu>
        <labl>
          Lady health worker (LHW)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1433
        </catValu>
        <labl>
          Lady health visitor (LHV)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1434
        </catValu>
        <labl>
          Community-based distribution agent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1435
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1436
        </catValu>
        <labl>
          Health surveillance assistant (HSA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1437
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1600
        </catValu>
        <labl>
          Government maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1610
        </catValu>
        <labl>
          Maternal and child health (MCH) center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Camp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Health box
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Health station/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Health office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Community clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          Health insurance organization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          Curative care organization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          Youth facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Private hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Specialized hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Private clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2121
        </catValu>
        <labl>
          Polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2122
        </catValu>
        <labl>
          Clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Private doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Qualified doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Traditional doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Private pharmacy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Private dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2420
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2421
        </catValu>
        <labl>
          Fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2422
        </catValu>
        <labl>
          Community-based distribution agent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2423
        </catValu>
        <labl>
          Community/village health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2424
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2510
        </catValu>
        <labl>
          VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other private medical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Medical office
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Care room
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Tent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Static clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Satellite clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          Community-based outlet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          NGO health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          NGO community-based distributor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          NGO fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          NGO depot holder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          AMO Congo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          Egypt FP association
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          CSI project
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          MACRO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RELIGIOUS/MISSION
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Religious hospital/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4111
        </catValu>
        <labl>
          Religious referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4112
        </catValu>
        <labl>
          Religious district hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          Religious clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Religious health center/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4210
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4211
        </catValu>
        <labl>
          Mosque health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4212
        </catValu>
        <labl>
          Church health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4220
        </catValu>
        <labl>
          Religious dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Religious mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Religious door-to-door
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Shop/market
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5110
        </catValu>
        <labl>
          Shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5111
        </catValu>
        <labl>
          General dealer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5112
        </catValu>
        <labl>
          Supermarket
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5113
        </catValu>
        <labl>
          Tuck shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5114
        </catValu>
        <labl>
          Service station
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5120
        </catValu>
        <labl>
          Kiosk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5130
        </catValu>
        <labl>
          Gas station
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5190
        </catValu>
        <labl>
          Other retail
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Relative/friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5210
        </catValu>
        <labl>
          Partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Church/mosque
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Bar/nightclub/hotel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5410
        </catValu>
        <labl>
          Bar/nightclub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5411
        </catValu>
        <labl>
          Bar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5420
        </catValu>
        <labl>
          Hotel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5500
        </catValu>
        <labl>
          Other institution
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5510
        </catValu>
        <labl>
          School
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5520
        </catValu>
        <labl>
          Youth center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5530
        </catValu>
        <labl>
          Workplace
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5600
        </catValu>
        <labl>
          Media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5610
        </catValu>
        <labl>
          Family planning campaign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5700
        </catValu>
        <labl>
          Traditional practitioner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5710
        </catValu>
        <labl>
          Hakim
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5720
        </catValu>
        <labl>
          Traditional birth attendant (TBA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5800
        </catValu>
        <labl>
          Informal channels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5810
        </catValu>
        <labl>
          Drug vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5820
        </catValu>
        <labl>
          Public toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3264" name="B_FPLASTSRCS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Last source for FP for current users, standardized
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women using a modern method of contraception, FPLASTSRCS (V327) reports the type of facility that was the source of the last contraceptive method used by the woman. This variable was constructed by recoding country-specific responses into a few standard categories that are consistent across samples.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Govt Clinic/Pharm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Govt Home/Comm delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          NGO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Private Clin/Deliv
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Private Pharmacy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Church, Shop, friends, books
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3265" name="B_FP1STUSGPKID" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number living children at first use of FP (grouped)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FP1STUSGPKID (V311) reports the number of living children, if any, the woman had when she first used a contraceptive method, with the number top-coded at 4+ children. FP1STUSLVKID reports responses to the same question, without top-coding the answers.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Inconsistent number reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Never used fp
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3266" name="B_FP1STUSLVKID" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number living children at first use of FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FP1STUSLVKID (V310) reports the number of living children the woman had the first time she used a contraceptive method. The same information is also reported in FP1STUSGPKID, except responses are top-coded at 4+ children in that variable and women who have never used contraception are coded as "9."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Inconsistent data
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3267" name="B_FPUSINTENT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        FP current use or future intention
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPUSINTENT (V364) is a constructed variable drawing on responses to multiple survey questions that divides women into the following categories: those who are currently using a contraceptive method (either modern or traditional); those who are not now using contraception but intend to do so in the future; those who are neither using contraception now nor intend to do so in the future; and (in a minority of samples) those who never had sex.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

IPUMS-DHS users are encouraged to review FPMETHNOW and FPUSPLAN for additional information on the variables used to construct FPUSINTENT.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Using modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Using traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Non-user intending to use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Does not intend to use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Future use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3268" name="B_FPUSPLAN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Intention to use FP in future
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPUSPLAN (V362) is a constructed variable based on multiple survey questions that reports, for women not currently using contraception, whether the woman intends to use contraception in the future and, if so, when she intends to begin use (in the next 12 months or later). Women uncertain about future contraceptive use are subdivided into those who are unsure about using a method and those unsure about the timing of planned future use.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Will use in future
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Use in next 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Use later
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Unsure about future use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Unsure about timing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Unsure about use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Does not intend to use
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Never had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Future use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3269" name="B_FPEVUSE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use any type of FP (folk, traditional, modern)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="20"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPEVUSE (V302) is a constructed variable that reports whether the woman had ever used a family planning method and, if so, whether she had used a modern contraceptive method or only a traditional or folkloric method.  

In the DHS, modern methods are pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never used
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Used only traditional or folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Used only traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Used only folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Used modern method
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3270" name="B_FPEVUSPILL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use Pill for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSPILL (V305_01) indicates whether the woman has ever used the pill to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3271" name="B_FPEVUSIUD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use IUD for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSIUD (V305_02) indicates whether the woman had ever used an IUD to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3272" name="B_FPEVUSINJ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use injectable for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSINJ (V305_03) indicates whether the woman has ever used injectable contraception to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3273" name="B_FPEVUSCON" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSCON (V305_05) indicates whether the woman had ever used the male condom to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3274" name="B_FPEVUSFST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use female sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSFST (V305_06) indicates whether the woman had ever used female sterilization to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3275" name="B_FPEVUSWD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use withdrawal for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSWD (V305_09) indicates whether the woman has ever used withdrawal to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3276" name="B_FPEVUSRHY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use rhythm for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSRHY (V305_08) indicates whether the woman had ever used rhythm (periodic abstinence) to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3277" name="B_FPEVUSMST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use male sterilization for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSMST (V305_07) indicates whether the woman had ever used male sterilization to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3278" name="B_FPEVUSIMP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use implants/Norplant for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSIMP (V305_11) indicates whether the woman had ever used implants (such as Norplant) to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3279" name="B_FPEVUSFC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use female condom for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSFC (V305_14) indicates whether the woman had ever used the female condom to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3280" name="B_FPEVUSEMRG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use emergency contraception for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSEMRG indicates whether the woman had ever used emergency contraception to delay or avoid a pregnancy. The complementary variable FPKNOEMRG indicates whether the woman knew about emergency contraception as a method for family planning.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3281" name="B_FPEVUSOM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever use other methods for FP
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPEVUSOM (V305_10) indicates whether the woman has ever used other methods to delay or avoid a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Ever use of family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3282" name="B_FPSTERNOCH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Told sterilization would mean no more children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERNOCH (V3A01) indicates whether they were told, before they were sterilized, that they would not be able to have any more children as a result of the operation.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3283" name="B_FPSTERILAGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age at sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERILAGE (V320) reports their age at the time of their sterilization operation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 25 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          25 - 29 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          30 - 34 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          35 - 39 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          40 - 44 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          45 - 49 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          50 - 54 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3284" name="B_FPSTERILPAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Parity at sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERILPAR (V322) reports the parity of the women at the time of their sterilization, top-coded at 5+ children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3285" name="B_FPSTERMARDUR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Marital duration at time of sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERMARDUR (V321) reports, in 5-year groups, the women's marital duration at the time of their sterilization.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Single, before marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          0 - 4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          5 - 9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          10 - 14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          15 - 19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          20 - 24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          25 - 29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3286" name="B_FPSTERYRAGO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Years since sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who have been sterilized or whose partners have been sterilized, FPSTERYRAGO (V319) reports the number of years since their sterilization operation, using 2-year groups, top-coded at 10+ years.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 - 3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          4 - 5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          6 - 7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          8 - 9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          10 or more years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sterilization Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3287" name="B_FPHOMVISITY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Visited by family planning worker in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPHOMVISITY (V393) indicates whether the woman was visited by a health worker who talked to her about family planning in the 12 months preceding the interview.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3288" name="B_FPHCVISITY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Visited health facility for any reason in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPHCVISITY (V394) indicates whether the woman visited a health facility for any reason in the past 12 months.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3289" name="B_FPHCTALKFP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        At health facility told of family planning
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had visited a health facility in the past year, FPHCTALKFP (V395) indicates whether any staff there talked to them about family planning.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3290" name="B_FPRADIOHR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard FP message on radio
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPRADIOHR (V365) indicates whether the woman heard family planning message(s) on the radio in the past month. Some samples specify longer periods of time. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, only once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3291" name="B_FPTVHR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard FP message on TV recently
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTVHR (V384) indicates whether the woman heard family planning message(s) on television in the last month. Some samples specify longer periods of time. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3292" name="B_FPNEWSHR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard FP message in newspaper/magazine
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPNEWSHR (V384C) indicates whether the woman has recently seen family planning messages in a newspaper or magazine.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3293" name="B_FPPOSTHR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Seen FP message on poster or pamphlet
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPPOSTHR indicates whether the woman has recently seen family planning messages on a poster.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3294" name="B_FPPLAYHR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard about family planning in: Theater/play/drama
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPPLAYHR indicates whether the woman has recently seen or heard family planning messages in a live drama, play, or theater performance.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3295" name="B_FPCLOTHHR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard about family planning: On Clothing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPCLOTHHR indicates whether the woman has recently seen family planning messages on clothing (such as a hat or t-shirt).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3296" name="B_FPOTHHR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard about family planning from: Other source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FPOTHHR indicates whether the woman has recently seen or heard family planning messages from some "other" source. The meaning of other depends on the specific sources mentioned in each survey.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Information on family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3297" name="B_FPYNOTMAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Not married
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTMAR (V3A08A) indicates whether they reported "not married"
 in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3298" name="B_FPYNOTNOSEX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Not having sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTNOSEX (V3A08B) indicates whether they reported "not having sex" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3299" name="B_FPYNOTINSEX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Infrequent sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTINSEX (V3A08C) indicates whether they reported "infrequent sex" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3300" name="B_FPYNOTMENO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Menopausal or hysterectomy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTMENO (V3A08D) indicates whether they reported "menopausal or hysterectomy" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3301" name="B_FPYNOTINF" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Subfecund or infecund
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTINF (V3A08E) indicates whether they reported "subfecund or infecund" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3302" name="B_FPYNOTAMEN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Postpartum amenorrheic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTAMEN (V3A08F) indicates whether they reported "postpartum amenorrheic" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3303" name="B_FPYNOTBSTFD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Breastfeeding
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTBSTFD (V3A08G) indicates whether they reported "breastfeeding" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3304" name="B_FPYNOTFATE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Fatalistic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTFATE (V3A08H) indicates whether they reported "fatalistic" or "up to God" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3305" name="B_FPYNOTOPPR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Respondent opposed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOPPR (V3A08I) indicates whether the respondent herself reported being opposed to use in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3306" name="B_FPYNOTOPPH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Husband or partner opposed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOPPH (V3A08J) indicates whether they reported "husband/partner opposed" in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3307" name="B_FPYNOTOPPO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Others opposed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOPPO (V3A08K) indicates whether they reported "others opposed" in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3308" name="B_FPYNOTRELIG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Religious prohibition
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and at risk of pregnancy, FPYNOTRELIG (V3A08L) indicates whether they reported "religious prohibition" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3309" name="B_FPYNOTKNO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Knows no contraceptive method
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTKNO (V3A08M) indicates whether they reported not knowing a method in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3310" name="B_FPYNOTSRC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Knows no source of contraceptives
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTSRC (V3A08N) indicates whether they reported not knowing a source in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3311" name="B_FPYNOTHLTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Health concerns
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTHLTH (V3A08O) indicates whether they reported "health concerns" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3312" name="B_FPYNOTSIDEF" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Fear of side effects
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTSIDEF (V3A08P) indicates whether they reported "fear of side effects" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3313" name="B_FPYNOTSDHLTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Fear of side effects or health concerns
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTSDHLTH indicates whether they reported "fear of side effects" and/or "health concerns" in response to an open-ended question about reasons for not using contraception.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3314" name="B_FPYNOTFAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Lack of access or too far
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTFAR (V3A08Q) indicates whether they reported "lack of access or too far" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3315" name="B_FPYNOTCOST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Costs too much
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTCOST (V3A08R) indicates whether they reported "costs too much" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3316" name="B_FPYNOTCONV" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Inconvenient to use
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTCONV (V3A08S) indicates whether they reported "inconvenient to use" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3317" name="B_FPYNOTBODY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Interferes with body's natural processes
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTBODY (V3A08T) indicates whether they reported "interferes with body's normal processes" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3318" name="B_FPYNOTOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Other reason
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTOTH (V3A08X) indicates whether they reported some other reason in response to an open-ended question about reasons for not using contraception. The meaning of "other" depends on the specific response categories included in a given sample.

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3319" name="B_FPYNOTDK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Reason not using method: Don't know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception and are at risk of pregnancy, FPYNOTDK (V3A08Z) indicates whether they reported "don't know" in response to an open-ended question about reasons for not using contraception.  

Due to universe differences and the use of supplemental programming, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, does not know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Why not use family planning Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3320" name="B_FPTYPPILL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Pill
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPPILL (V304A_01) reports whether the Pill is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPPILL (V304A_01) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3321" name="B_FPTYPIUD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: IUD
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPIUD (V304A_02) reports whether the intrauterine device (IUD) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPIUD (V304A_02) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3322" name="B_FPTYPINJ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Injectables
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPINJ (V304A_03) reports whether injectable contraception is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPINJ (V304A_03) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3323" name="B_FPTYPCON" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPCON (V304A_05) reports whether the male condom is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPCON (V304A_05) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3324" name="B_FPTYPFST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Female sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPFST (V304A_06) reports whether female sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPFST (V304A_06) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3325" name="B_FPTYPMST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Male sterilization
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPMST (V304A_07) reports whether male sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPMST (V304A_07) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3326" name="B_FPTYPRHY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Rhythm method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPRHY (V304A_08) reports whether the rhythm method (periodic abstinence) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPRHY (V304A_08) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3327" name="B_FPTYPWD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Withdrawal
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPWD (V304A_09) reports whether withdrawal is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPWD (V304A_09) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3328" name="B_FPTYPIMP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Implants or norplants
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPIMP (V304A_11) reports whether the contraceptive implant (such as Norplant) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPIMP (V304A_11) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3329" name="B_FPTYPFC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPFC (V304A_14) reports whether the female condom is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPFC (V304A_14) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3330" name="B_FPTYPEMERG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Emergency contraception
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPEMERG reports whether emergency contraception is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPEMERG and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3331" name="B_FPTYPOM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of method: Other method
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FPTYPOM (V304A_10) reports whether any "other" method reported by the woman is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. The meaning of "other" depends on the specific response categories included in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPOM (V304A_10) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Modern method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Traditional method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Folkloric method
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Type of family planning method Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3332" name="B_FPNONPUBHOS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBHOS (V3A00A) indicates whether, in response to an open-ended question, they reported a public hospital as a source for family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3333" name="B_FPNONPUBHC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBHC (V3A00B) indicates whether, in response to an open-ended question, they reported a public health center as a source of family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3334" name="B_FPNONPUBMOB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBMOB (V3A00D) indicates whether, in response to an open-ended question, they reported a public mobile clinic as a source of family planning.

Users should be careful to distinguish this variable from FPNONPRIVMOB, which refers to private mobile clinics.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3335" name="B_FPNONPUBFW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBFW (V3A00E) indicates whether, in response to an open-ended question, they reported a "public fieldworker" as a source of family planning.

Users should be careful to distinguish this variable from FPNONPRIVFW ("fieldworker" under the private medical sector category).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3336" name="B_FPNONPUBOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Other public source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPUBOTH (V3A00I) indicates whether, in response to an open-ended question, they reported some "other" public medical facility as a source of family planning. The meaning of "other" varies depending on the specific categories included in a given sample.

Users should be careful to distinguish this variable from FPNONPRIVOTH ("other" under the private medical sector) and FPNONOTHER ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3337" name="B_FPNONPRIVMIS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Religious/mission hospital, health center, or clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVMIS indicates whether they reported, in response to an open-ended question, a faith-based health facility.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3338" name="B_FPNONPRIVMOB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Private mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVMOB (V3A00M) indicates whether, in response to an open-ended question, they reported a private mobile clinic as a source of family planning.

Users should be careful to distinguish this variable from FPNONPUBMOB, which refers to public sector mobile clinics.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3339" name="B_FPNONPRIVDRUG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Private pharmacy, drug store, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVDRUG (V3A00K) indicates whether they reported, in response to an open-ended question, a private pharmacy, drug store, or dispensary as a source of family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

Users should be careful to distinguish this variable from FPNONPUBDRUG and FPNONOTHDRUG, which refer to public drug sources and informal drug sources, respectively.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3340" name="B_FPNONPRIVFW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Private fieldworker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVFW (V3A00N) indicates whether, in response to an open-ended question, they reported a "private fieldworker" as a source of family planning.

Users should be careful to distinguish this variable from FPNONPUBFW ("fieldworker" under the public medical sector category).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3341" name="B_FPNONPRIVOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Other private medical sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONPRIVOTH (V3A00R) indicates whether, in response to an open-ended question, they reported some "other" private medical facility as a source of family planning. The meaning of "other" depends on the specific categories included in a given sample.

Users should be careful to distinguish this variable from FPNONPUBOTH ("other" under the public sector) and FPNONOTHER ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3342" name="B_FPNONCHURCH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Church or Mosque
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONCHURCH indicates whether a church was mentioned in response to an open-ended question about where family planning can be obtained.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3343" name="B_FPNONFRND" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Friend or relative
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONFRND indicates whether they reported, in response to an open-ended question, a friend or relative as a source of family planning.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3344" name="B_FPNONSHOP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Shop or kiosk
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONSHOP (V3A00S) indicates whether, in response to an open-ended question, they reported a shop as a source of family planning.

Some samples in the "FPNON" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3345" name="B_FPNONOTHER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Other source, unspecified
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a method of contraception, FPNONOTHER (V3A00X) indicates whether they reported some "other" source when asked an open-ended question about where family planning can be obtained. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from FPNONPUBOTH ("other" under the public medical sector) and FPNONPRIVOTH ("other" under the private medical sector). This variable includes those "other" categories that do not fit into the public or private medical sector.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3346" name="B_FPNONDK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Does not know a source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONDK (V3A00Y) indicates whether they did not know of any source when asked an open-ended question about where family planning can be obtained.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, knows at least one source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, knows no source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3347" name="B_FPNONANY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of family planning for non-users: Knows any source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a method of contraception, FPNONANY (V3A00Z) indicates whether they knew any source when asked an open-ended question about where family planning can be obtained.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, knows no source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, knows at least one source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3348" name="B_FPNONMW1" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Public health post or outreach (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a contraceptive method, FPNONMW1 indicates whether, in response to an open-ended question, they reported a public health post or outreach program as a source of family planning. This response category is country-specific to Malawi.

Though IPUMS-DHS integrates "government health post" across samples (see FPNONPUBHP), FPNONMW1 is not included in the integrated variable because it consolidates multiple sources into a single category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3349" name="B_FPNONMW2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Youth drop-in center (other) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a contraceptive method, FPNONMW2 indicates whether, in response to an open-ended question, they reported a "youth drop-in center" as a source of family planning. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3350" name="B_FPNONMW3" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Health surveillance assistant (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who are not currently using a contraceptive method, FPNONMW3 indicates whether, in response to an open-ended question, they reported a "health surveillance assistant" as a source of family planning. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3351" name="B_FPNONMW4" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a contraceptive method, FPNONMW4 indicates whether, in response to an open-ended question, they reported a "mission hospital" as a source of family planning. This response category is country-specific to Malawi. 

Some samples in the "FPNON" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

FPNONMW4 is combined with FPNONMW5 (mission health center) and FPNONMW6 (mission mobile clinic) in FPNONPRIVMIS for the Malawi samples. IPUMS-DHS users interested in using FPNONMW4 are encouraged to review FPNONPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3352" name="B_FPNONMW5" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Source of FP for non-users: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who are not currently using a contraceptive method, FPNONMW5 indicates whether, in response to an open-ended question, they reported a "mission health center" as a source of family planning. This response category is country-specific to Malawi.

Some samples in the "FPNON" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

FPNONMW5 is combined with FPNONMW4 (mission hospital) and FPNONMW6 (mission mobile clinic) in FPNONPRIVMIS for the Malawi samples. IPUMS-DHS users interested in using FPNONMW5 are encouraged to review FPNONPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Known source for non-users, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3353" name="B_AIDSHEARD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard of AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDSHEARD (V751) indicates whether the woman has heard of AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General HIV/AIDS knowledge Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3354" name="B_AIDHEALTHY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Thinks a healthy-looking person can have AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDHEALTHY (V756) indicates whether the woman thinks it is possible for a healthy-looking person to have HIV/AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General HIV/AIDS knowledge Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3355" name="B_AIDHRDRUGHELP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard of drugs to help infected people live longer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDHRDRUGHELP (V837) indicates whether the woman had heard of medicine to help people with HIV/AIDS. How such drugs were labeled and how their effects were described varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General HIV/AIDS knowledge Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3356" name="B_AIDFAMSECRET" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Would want HIV infection in family to remain secret
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDFAMSECRET (V777) indicates whether the woman would want an HIV/AIDS infection in her family to remain a secret.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, keep it a secret
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3357" name="B_AIDCAREREL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Willing to care for relative who has AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDCAREREL (V778) indicates whether the woman would be willing to care for a relative with AIDS in her own household.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3358" name="B_AIDLETTCHF" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Should female teacher with HIV, but not sick, continue teaching
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDLETTCHF (V779) indicates whether the woman thinks a female teacher with HIV/AIDS should be allowed to continue teaching. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3359" name="B_AIDGETVENDOR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Would buy vegetables from vendor with AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDGETVENDOR (V825) indicates whether the woman would buy vegetables from a vendor with HIV/AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS opinions and attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3360" name="B_AIDGETWITCH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Get AIDS from: Witchcraft or supernatural means
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDGETWITCH (V823) indicates whether the woman believes AIDS can be contracted through witchcraft or supernatural means. Not all surveys specifically use the term "witchcraft" in the question. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3361" name="B_AIDGETBITE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Get AIDS from: Mosquito bites
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AIDGETBITE (V754JP) indicates whether, in response to a yes/no question, the respondent believes that AIDS can be transmitted through mosquito bites.

IPUMS-DHS users may also be interested in AIDTHRUBITE, which indicates whether, in response to an open-ended question, the respondent stated that AIDS can be transmitted through mosquito bites.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3362" name="B_AIDGETFOOD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Get AIDS from: Sharing food with person with AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDGETFOOD (V754WP) indicates whether the woman believes AIDS can be transmitted through sharing food (or dining utensils) with an infected person.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3363" name="B_AID1PARLOWRYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Thinks having only 1 sex partner reduces AIDS risk (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AID1PARLOWRYN (V754DP) indicates whether the woman believes having sex with only one partner who has no other sex partners reduces the risk of contracting HIV/AIDS.

For a similar variable asked as an open-ended question, see AID1PARLOWR (V754D).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3364" name="B_AIDABSTLOWRYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Thinks not having sex reduces AIDS risk (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AIDABSTLOWRYN (V754BP) indicates whether the woman believes abstaining from sex reduces risk of contracting HIV/AIDS.

For a similar variable asked as an open-ended question, see AIDABSTLOWR (V754B).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don’t know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3365" name="B_AIDCONLOWRYN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Thinks always using a condom reduces AIDS risk (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AIDCONLOWRYN (V754CP) indicates whether the woman believes using a condom during sex reduces risk of contracting HIV/AIDS.

For a similar variable asked as an open-ended question, see AIDCONLOWR (V754C).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3366" name="B_AIDKNOPREGDRG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Know about drugs to avoid AIDS transmission to baby during pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDKNOPREGDRG (V824) indicates whether the woman knows of medicine that helps prevent transmission of HIV/AIDS from mother to child during pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3367" name="B_AIDTRANDELIV" files="F3" dcml="0" intrvl="discrete">
      <labl>
        How AIDS transmitted from mother to child: During delivery
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTRANDELIV (V774B) indicates whether the woman acknowledged transmission during delivery as a way that AIDS can be passed from mother to child. While this information was generally collected using a yes/no question format, some surveys used an open-ended question instead. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3368" name="B_AIDTRANFEED" files="F3" dcml="0" intrvl="discrete">
      <labl>
        How AIDS transmitted from mother to child: Breastfeeding
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTRANFEED (V774C) indicates whether the woman acknowledged transmission during breastfeeding as a way that AIDS can be passed from mother to child. While this information was generally collected using a yes/no format, some surveys used an open-ended question instead. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3369" name="B_AIDTRANPREG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        How AIDS transmitted from mother to child: During pregnancy
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTRANPREG (V774A) indicates whether the woman acknowledged transmission during pregnancy as a way that AIDS can be passed from mother to child. While this information was generally collected using a yes/no question format, some surveys used an open-ended question. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS transmission and prevention Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3370" name="B_AIDTESTEV" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever been tested for AIDS
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTESTEV (V781) indicates whether the respondent has ever been tested for HIV/AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don’t know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3371" name="B_AIDANTALK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        During antenatal visit talked about: HIV transmitted mother to child
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDANTALK (V838A) indicates whether women who gave birth recently (last three to five years before the survey) talked to anyone or were given information during antenatal care about HIV transmission from mother to child.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3372" name="B_AIDANTALKPREV" files="F3" dcml="0" intrvl="discrete">
      <labl>
        During antenatal visit talked about: Preventing getting HIV
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDANTALKPREV (V838B) indicates whether women who gave birth recently (last three to five years before the survey) talked to anyone or were given any information during antenatal care about things to do to prevent getting the AIDS virus.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3373" name="B_AIDTANTALK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        During antenatal visit talked about: Getting tested for HIV
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANTALK (V838C) indicates whether women who gave birth recently (last two to five years before the survey) talked to anyone or were given information during antenatal care about getting tested for the AIDS virus.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3374" name="B_AIDTANOFFER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Offered HIV test as part of antenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANOFFER (V839) indicates whether women who gave birth recently (last two to five years before the survey) were offered a test for the AIDS virus as part of antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3375" name="B_AIDTANCARE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Tested for HIV as part of antenatal visit
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANCARE (V840) indicates whether women who gave birth recently (last two to five years before the survey) were tested for the AIDS virus as part of antenatal care.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3376" name="B_AIDTANGOTRES" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Got results of HIV test as part of antenatal care
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTANGOTRES (V841) indicates whether women who gave birth recently (last three to five years before the survey) and were tested for the AIDS virus as part of antenatal care received the results of that test.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3377" name="B_AIDTSINCEAN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Tested for HIV since antenatal visit test
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AIDTSINCEAN (V843) indicates whether women who gave birth recently (last two to five years before the survey) and were tested for the AIDS virus as part of antenatal care had been tested again since then.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3378" name="B_AIDLTCHOSE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Last HIV test was on your own, offered or required
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had been tested for the AIDS virus, AIDLTCHOSE (V827) reports whether they requested their last AIDS test, had it offered to them and accepted it, or were required to be tested.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Asked for the test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Offered and accepted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Required
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Without consent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3379" name="B_AIDLTGOTRES" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Received results from last HIV test
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had been tested for the AIDS virus, AIDLTGOTRES indicates whether they received the result of their last AIDS test.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3380" name="B_ATLWHERE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place where last HIV/AIDS test was taken
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women ever been tested for HIV/AIDS, ATLWHERE (V829) reports where the woman's last HIV/AIDS test was taken. Response categories vary across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PUBLIC SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Government hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          National/central hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1130
        </catValu>
        <labl>
          Provincial/regional hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1140
        </catValu>
        <labl>
          District/rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1141
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1142
        </catValu>
        <labl>
          Rural hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1150
        </catValu>
        <labl>
          Category I hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1160
        </catValu>
        <labl>
          Category II hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Government health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Referral health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Community health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          Urban health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          Rural health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1250
        </catValu>
        <labl>
          Integrated health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1260
        </catValu>
        <labl>
          Ambulatory treatment center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1270
        </catValu>
        <labl>
          Category I health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1280
        </catValu>
        <labl>
          Category II health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1290
        </catValu>
        <labl>
          Primary health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Government STI or HIV/AIDS center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1310
        </catValu>
        <labl>
          Government VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1311
        </catValu>
        <labl>
          Government stand-alone VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1312
        </catValu>
        <labl>
          Government mobile VCT/survey team
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1320
        </catValu>
        <labl>
          Government screening center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1330
        </catValu>
        <labl>
          STI clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Government family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1500
        </catValu>
        <labl>
          Government outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1510
        </catValu>
        <labl>
          Government mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1520
        </catValu>
        <labl>
          Government health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1521
        </catValu>
        <labl>
          Sub-center or sub-post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1530
        </catValu>
        <labl>
          Government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1531
        </catValu>
        <labl>
          Field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1532
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1533
        </catValu>
        <labl>
          Trained government health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1534
        </catValu>
        <labl>
          Health surveillance assistant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1535
        </catValu>
        <labl>
          Door-to-door
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1540
        </catValu>
        <labl>
          Government outreach clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1541
        </catValu>
        <labl>
          Primary health care outreach clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1600
        </catValu>
        <labl>
          Government maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1700
        </catValu>
        <labl>
          Government school-based clinic/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1800
        </catValu>
        <labl>
          Government pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1900
        </catValu>
        <labl>
          Other public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Blood donation center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Government laboratory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Government health home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          PRIVATE MEDICAL SECTOR
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Private hospital/clinic or doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Private hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Private doctor/clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Private polyclinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Private pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Private STI or HIV/AIDS center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Private VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Private stand-alone VCT center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Private mobile VCT/survey team
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          New Start center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          HIV/AIDS treatment center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          STI clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2400
        </catValu>
        <labl>
          Private health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2500
        </catValu>
        <labl>
          Private family planning clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2522
        </catValu>
        <labl>
          Private field worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2530
        </catValu>
        <labl>
          Private health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2600
        </catValu>
        <labl>
          Private outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2610
        </catValu>
        <labl>
          Private mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2620
        </catValu>
        <labl>
          Private health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2621
        </catValu>
        <labl>
          Private community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2700
        </catValu>
        <labl>
          Private maternity home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2800
        </catValu>
        <labl>
          Private school-based clinic/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2900
        </catValu>
        <labl>
          Other private medical sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Private laboratory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Private blood transfusion services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2903
        </catValu>
        <labl>
          Private youth center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2904
        </catValu>
        <labl>
          Private diagnostic clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          NGO FACILITY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          NGO health facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          International Red Cross
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Marie Stopes International
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3130
        </catValu>
        <labl>
          Population Services International (PSI)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          NGO health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Country-specific NGOs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3301
        </catValu>
        <labl>
          BLM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3302
        </catValu>
        <labl>
          MACRO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3303
        </catValu>
        <labl>
          TASO
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3304
        </catValu>
        <labl>
          AIC
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3305
        </catValu>
        <labl>
          Association of Medical Doctors of Asia (AMDA)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3306
        </catValu>
        <labl>
          International Nepal Fellowship (INF)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3900
        </catValu>
        <labl>
          Other NGO facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RELIGIOUS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Religious hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4110
        </catValu>
        <labl>
          Referral/specialty hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4120
        </catValu>
        <labl>
          District hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          Religious health center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Religious pharmacy/dispensary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4400
        </catValu>
        <labl>
          Religious outreach
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4410
        </catValu>
        <labl>
          Religious health post
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4420
        </catValu>
        <labl>
          Religious mobile clinic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4430
        </catValu>
        <labl>
          Religious door-to-door
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5001
        </catValu>
        <labl>
          Home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5002
        </catValu>
        <labl>
          School
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5003
        </catValu>
        <labl>
          Workplace
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5004
        </catValu>
        <labl>
          Correctional facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5005
        </catValu>
        <labl>
          Fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5006
        </catValu>
        <labl>
          Friend/relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5007
        </catValu>
        <labl>
          Military base
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5008
        </catValu>
        <labl>
          Community support group
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5009
        </catValu>
        <labl>
          Church
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5010
        </catValu>
        <labl>
          Shop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9000
        </catValu>
        <labl>
          Abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3381" name="B_HPLCAIDSTEST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Knows of place to get AIDS test
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HPLCAIDSTEST (V783) indicates whether the woman knew a place to get tested for the AIDS virus, based on a yes/no question.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3382" name="B_ATPUBHOS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBHOS (V784A) indicates whether, in response to an open-ended question, the woman reported a public hospital as a place to be tested for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined in ATPUBHOS to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3383" name="B_ATPUBHC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBHC (V784B) indicates whether, in response to an open-ended question, the woman reported a public health center as a place to be tested for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined in ATPUBHC to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3384" name="B_ATPUBFW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBFW (V784F) indicates whether, in response to an open-ended question, the woman reported a private field worker as a source for testing for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable such as ATPUBFW while preserving the separate responses in country-specific variables. See Comparability for more information on the specific categories combined in this variable.

IPUMS-DHS users should be careful to distinguish ATPUBFW from ATPRIVFW (private fieldworker).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3385" name="B_ATPUBOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Other public medical sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPUBOTH (V784J) indicates whether, in response to an open-ended question, the woman reported some "other" public medical facility as a place to be tested for the AIDS virus. The meaning of "other" depends on the specific places for AIDS testing included in a given sample.

Users should be careful to distinguish ATPUBOTH from ATPRIVOTH ("other" under the private medical sector) and ATOTHER ("other" that is not listed under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3386" name="B_ATPRIVHOS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Private hospital/clinic/doctor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPRIVHOS (V784K) indicates whether, in response to an open-ended question, the woman reported a private hospital, clinic, or doctor as a source for testing for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3387" name="B_ATPRIVMIS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Religious/mission hospital, health center, or clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPRIVMIS indicates whether, in response to an open-ended question, the woman reported a faith-based health facility as a place to be tested for the AIDS virus. 

Some samples in the "AT" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined in ATPRIVMIS to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3388" name="B_ATPRIVOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Other private medical sector
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATPRIVOTH (V784S) indicates whether, in response to an open-ended question, the woman reported some "other" private medical facility as a place to be tested for the AIDS virus. The meaning of "other" depends on the specific places for AIDS testing included in a given sample.

Users should be careful to distinguish this variable from ATPUBOTH ("other" under the public medical sector) and ATOTHER ("other" that is not described as under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3389" name="B_ATOTHER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATOTHER (V784X) indicates whether the woman reported some other place to be tested for the AIDS virus. The meaning of "other" depends on the specific places for AIDS testing included in a given sample.

Users should be careful to distinguish this variable from ATPUBOTH ("other" under the public medical sector) and ATPRIVOTH ("other" under the private medical sector). ATOTHER includes those "other" categories that do not fit into the public or private medical sector.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Not identified, responded only to last HIV test
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3390" name="B_ATMW1" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Health Surveillance Assistant (HSA) (other) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW1 indicates whether, in response to an open-ended question, the woman reported a public health surveillance assistant (HSA) as a source for testing for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW1 is combined with ATMW2 (public community-based distribution agent/door-to-door) in ATPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW1 are encouraged to review ATPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3391" name="B_ATMW2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW2 indicates whether, in response to an open-ended question, the woman reported a public community-based distribution agent/door-to-door as a source for testing for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW2 is combined with ATMW1 (public health surveillance assistant (HSA)) in ATPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW2 are encouraged to review ATPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3392" name="B_ATMW3" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Private company hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW3 indicates whether, in response to an open-ended question, the woman reported a private company hospital/clinic as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW3 is combined with ATMW4 (private hospital/clinic/doctor) in ATPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW3 are encouraged to review ATPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3393" name="B_ATMW4" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Private hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW4 indicates whether, in response to an open-ended question, the woman reported a private hospital/clinic/doctor as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW4 is combined with ATMW3 (private company hospital/clinic) in ATPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW4 are encouraged to review ATPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3394" name="B_ATMW5" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW5 indicates whether, in response to an open-ended question, the woman reported a mission hospital as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW5 is combined with ATMW6 (mission health center) in ATPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW5 are encouraged to review ATPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3395" name="B_ATMW6" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW6 indicates whether, in response to an open-ended question, the woman reported a mission health center as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Some samples in the "AT" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

ATMW6 is combined with ATMW5 (mission hospital) in ATPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using ATMW6 are encouraged to review ATPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3396" name="B_ATMW7" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Banja La Mtsogolo (BLM) (other) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ATMW7 indicates whether, in response to an open-ended question, the woman reported Banja La Mtsogolo (BLM), a non-governmental organization based in Malawi, as a source for testing for the AIDS virus. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3397" name="B_ATMW8" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Malawi AIDS Counseling and Resource Organization (MACRO) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ATMW8 indicates whether, in response to an open-ended question, the woman reported the Malawi AIDS Counseling and Resource Organization (MACRO) as a source for testing for the AIDS virus. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3398" name="B_ATMW9" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Place for HIV test: Health post/outreach (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ATMW9 indicates whether, in response to an open-ended question, the woman reported a public health post/outreach as a place to be tested for the AIDS virus. This response category is country-specific to Malawi.

Although IPUMS-DHS integrates "public health post" (see ATPUBHP) across samples, ATMW9 is not included in that integrated variable because multiple sources are consolidated into a single category in ATMW9.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        HIV/AIDS testing, CS Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3399" name="B_TIMESINCESEX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TIMESINCESEX (V527) reports how many days, weeks, months or years had passed since the woman had sexual intercourse with her most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 day ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          91 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          92 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          93 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          94 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          95 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          96 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          97 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          Days, number inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 week
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          Weeks, inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          43 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          44 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          45 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          46 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          47 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          48 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          49 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          50 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          51 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          52 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          53 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          54 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          55 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          56 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          57 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          58 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          59 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          60 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          61 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          62 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          63 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          64 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          65 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          66 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          67 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          68 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          69 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          70 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          71 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          72 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          73 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          74 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          75 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          76 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          77 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          78 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          79 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          80 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          81 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          82 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          83 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          84 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          85 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          86 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          87 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          88 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          89 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          90 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          91 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          92 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          93 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          94 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          95 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          96 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          97 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Months, inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          35 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          36 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          37 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          38 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          39 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          40 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          41 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          42 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          43 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          44 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          45 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          46 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          47 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          48 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          49 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          50+ years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          With former husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3400" name="B_TIMESINCESEXD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse in days
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMESINCESEXD (V528) reports the number of days that have passed since the respondent last had sexual intercourse. Durations of more than 30 days are grouped into "31+."

If the respondent reported having sexual intercourse in the last 4 weeks but replied that her last sexual intercourse was one month before the interview (in TIMESINCESEX (V527), this response is recoded to "30" in TIMESINCESEXD. In all other cases, a response of "One month" in TIMESINCESEX is coded as "31+."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31+ days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Not married/no regular partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          With former husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3401" name="B_TIMESINCESEXM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse in months (imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMESINCESEXM (V529) reports the computed time (in months) since the respondent last had sexual intercourse. 

This variable's value is computed from the responses in TIMESINCESEX (V527), with durations exceeding the interval since the last birth recoded as "Before last birth."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          No partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          With former husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3402" name="B_TIMESINCESEXFLAG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Flag for time since last sex (months, imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMESINCESEXFLAG (V530) is a flag variable reporting the type of problem found when editing responses about the time that has passed since the respondent last had sexual intercourse (in TIMESINCESEXM (V529)).

Below are descriptions of each code:

0 = No flag
1 = Duration reported is greater than the interval since the last birth, and the respondent did not say in the maternity section (PPABSTAINNOW (V406)) that she is still abstaining from sexual relations since her last birth
2 = Duration reported plus the duration of abstinence after the last birth (PPABMO_01 (M8_1)) is greater than the interval since the last birth
3 = Duration reported, but the respondent has not resumed sexual intercourse since the last birth
4 = Respondent reported last intercourse was before her last birth, but she has never given birth
5 = Respondent reported last intercourse was before her last birth, but she was currently pregnant (PREGNANT (V213).
6 = Respondent reported last intercourse was before her last birth, but she reported in the maternity section that she had resumed sexual intercourse after her last birth
7 = Respondent reported a duration since her last intercourse, but this would place her last intercourse before her last pregnancy
8 = Respondent reported a duration since her last intercourse, but this response was inconsistent with her response concerning the number of times she had sexual intercourse in the 4 weeks preceding the survey (SX4WKX (V526))
9 = Duration reported, but would place her last sexual intercourse before her last birth]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Duration greater than time since last birth and did not report pp abstinence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Duration plus abstinence after last birth greater than time since last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Reported, but did not resume sex after last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Before last birth, but no births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Before last birth, but currently pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Before last birth, but resumed sex after last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Reported but before last pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Reported but inconsistent with times had sex in past 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Reported but before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3403" name="B_SXTIMETOPAR2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse: 2nd to last sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had sexual intercourse with more than one partner in the last 12 months, SXTIMETOPAR2 (V832B) indicates how many days, weeks, or months had passed since she had intercourse with her second most recent sex partner.

For data on the most recent partner, see TIMESINCESEX (V527).]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 day ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3404" name="B_SXTIMETOPAR3" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Time since last intercourse: 3rd to last sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse with more than two partners in the last 12 months, SXTIMETOPAR3 (V832C) indicates how many days, weeks, or months had passed since she had intercourse with her third most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Less than 1 day ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Weeks: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Months: number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Years: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Within last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3405" name="B_SXPARYRNO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of sex partners, including spouse, in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPARYRNO (V766B) reports the number of sex partners the woman had in the past 12 months, including her spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3406" name="B_SXPARYRNO2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of sex partners, excluding spouse, in past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPARYRNO2 (V766A) reports the number of sex partners the woman had in the past 12 months, excluding her spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3407" name="B_SEXACTIV4WK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sexual activity in past 4 weeks
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SEXACTIV4WK (V536) reports the respondent's recent sexual activity (never had intercourse, sexually active in the last 4 weeks, not active in the last 4 weeks because of postpartum abstinence, or not active in the last 4 weeks because of something other than postpartum abstinence).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never had intercourse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sexually active in last 4 weeks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not active in last 4 weeks (postpartum abs.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not active in last 4 weeks (not postpartum abs.)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3408" name="B_DURABST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Duration of abstinence (months)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DURABST (V537) reports the duration of the respondent's abstinence (in months). This time interval includes postpartum and non-postpartum abstinence.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Before last birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3409" name="B_SXCANREFUSE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman can refuse sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXCANREFUSE (V850A) indicates whether the woman can refuse to have sex with her husband or partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/Not sure/Depends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3410" name="B_SXPAR1NO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Times had sex with most recent partner in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR1NO (V853A) reports how many times the woman had sex with her most recent partner in the 12 months prior to the interview, top-coded at 95+.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3411" name="B_SXPAR2NO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Times had sex with 2nd most recent partner in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR2NO (V853B) reports the number of times women had sex with their second-most-recent partner in the 12 months prior to the interview, top-coded at 95+.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3412" name="B_SXPAR3NO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Times had sex with third most recent partner in the last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR3NO (V853C) reports the number of times women had sex with their third-most-recent partner in the 12 months prior to the interview, top-coded at 95+.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3413" name="B_SXPAR1REL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Relationship with most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR1REL (V767A) reports the woman's relationship to her most recent male sex partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Spouse/cohabiting partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Live-in partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Boyfriend/fiance not living with respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Casual acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Someone just met
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Commercial sex worker/client
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Ex-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Formerly married/no partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3414" name="B_SXPAR2REL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Relationship with 2nd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR2REL (V767B) reports the woman's relationship to her second most recent male sex partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Spouse/cohabiting partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Live-in partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Boyfriend/fiance not living with respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Casual acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Commercial sex worker/client
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Ex-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3415" name="B_SXPAR3REL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Relationship with 3rd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPAR3REL (V767C) reports the woman's relationship to her third most recent male sex partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Spouse/cohabiting partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Live-in partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Boyfriend/fiance not living with respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Casual acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Commercial sex worker/client
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Ex-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3416" name="B_SXPAR1AGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age of most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="9" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had intercourse in the last 12 months, SXPAR1AGE (V834A) reports the age of the woman's most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3417" name="B_SXPAR1YNGR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Last sexual partner younger, the same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women who had intercourse in the last 12 months, SXPAR1YNGR (V821A) reports whether the woman's most recent sexual partner was younger, about the same age, or older than she was.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3418" name="B_SXPAR2AGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age of 2nd most recent sex partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had intercourse in the last 12 months, SXPAR2AGE (V834B) reports the age of the woman's second most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3419" name="B_SXPAR2YNGR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Second to last sexual partner younger, the same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women who had intercourse in the last 12 months, SXPAR2YNGR (V821B) reports whether the woman's second most recent sexual partner was younger, about the same age, or older than she was.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3420" name="B_SXPAR3AGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age of 3rd most recent sex partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="13" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had intercourse in the last 12 months, SXPAR3AGE (V834C) reports the age of the woman's third most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3421" name="B_SXPAR3YNGR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Third to last sexual partner younger, the same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women who had intercourse in the last 12 months, SXPAR3YNGR (V821C) reports whether the woman's third most recent sexual partner was younger, about the same age, or older than she was.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3422" name="B_SXPAR1TIMKNO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Length of time knew most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse in the last 12 months, SXPAR1TIMKNO (V768A) indicates how long (how many days, weeks, months or years) the woman had known her most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          391
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          392
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          393
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          394
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          395
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          396
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          397
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          398
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          399
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          402
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          403
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          404
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          405
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          406
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          407
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          408
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          409
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          410
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          411
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          412
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          413
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          414
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          415
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          416
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          417
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          418
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          419
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          420
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          421
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          422
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          423
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          424
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          425
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          426
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          427
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          428
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          429
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          430
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          431
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          432
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          433
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          434
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          435
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          436
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          437
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          438
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          439
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          440
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          441
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          442
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          443
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          444
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          445
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          446
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          447
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          448
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          449
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          450
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Days - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Weeks - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Months - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Years - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3423" name="B_SXPAR2TIMKNO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Length of time knew 2nd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse in the last 12 months, SXPAR2TIMKNO (V768B) indicates how long (how many days, weeks, months or years) the woman had known her second most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          391
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          392
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          393
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          394
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          395
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          396
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          397
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          398
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          399
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          402
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          403
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          404
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          405
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          406
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          407
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          408
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          409
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          410
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          411
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          412
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          413
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          414
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          415
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          416
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          417
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          418
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          419
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          420
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          421
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          422
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          423
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          424
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          425
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          426
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          427
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          428
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          429
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          430
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          431
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          432
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          433
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          434
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          435
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          436
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          437
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          438
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          439
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          440
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          441
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          442
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          443
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          444
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          445
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          446
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          447
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          448
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          449
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Days - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Weeks - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Months - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Years - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3424" name="B_SXPAR3TIMKNO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Length of time knew 3rd most recent sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had sexual intercourse in the last 12 months, SXPAR3TIMKNO (V768C) indicates how long (how many days, weeks, months or years) the woman had known her third most recent sex partner.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          DAYS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101 (One day)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          106
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          107
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          108
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          109
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          110
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          111
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          112
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          113
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          114
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          115
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          116
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          117
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          118
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          119
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          120
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          121
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          122
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          123
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          124
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          125
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          126
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          127
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          128
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          129
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          130
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          131
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          132
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          133
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          134
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          135
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          136
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          195
        </catValu>
        <labl>
          195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          197
        </catValu>
        <labl>
          197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          WEEKS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          201 (One week)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          MONTHS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301 (One month)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          366
        </labl>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          367
        </labl>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          368
        </labl>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          369
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          370
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          371
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          372
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          373
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          374
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          375
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          376
        </labl>
      </catgry>
      <catgry>
        <catValu>
          377
        </catValu>
        <labl>
          377
        </labl>
      </catgry>
      <catgry>
        <catValu>
          378
        </catValu>
        <labl>
          378
        </labl>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          379
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          380
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          381
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          382
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          383
        </labl>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          384
        </labl>
      </catgry>
      <catgry>
        <catValu>
          385
        </catValu>
        <labl>
          385
        </labl>
      </catgry>
      <catgry>
        <catValu>
          386
        </catValu>
        <labl>
          386
        </labl>
      </catgry>
      <catgry>
        <catValu>
          387
        </catValu>
        <labl>
          387
        </labl>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          388
        </labl>
      </catgry>
      <catgry>
        <catValu>
          389
        </catValu>
        <labl>
          389
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          390
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          391
        </labl>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          392
        </labl>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          393
        </labl>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          394
        </labl>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          395
        </labl>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          396
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          397
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          398
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          399
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          YEARS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          401 (One year)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          402
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          403
        </labl>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          404
        </labl>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          405
        </labl>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          406
        </labl>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          407
        </labl>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          408
        </labl>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          409
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          410
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          411
        </labl>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          412
        </labl>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          413
        </labl>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          414
        </labl>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          415
        </labl>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          416
        </labl>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          417
        </labl>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          418
        </labl>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          419
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          420
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          421
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          422
        </labl>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          423
        </labl>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          424
        </labl>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          425
        </labl>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          426
        </labl>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          427
        </labl>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          428
        </labl>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          429
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          430
        </labl>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          431
        </labl>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          432
        </labl>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          433
        </labl>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          434
        </labl>
      </catgry>
      <catgry>
        <catValu>
          435
        </catValu>
        <labl>
          435
        </labl>
      </catgry>
      <catgry>
        <catValu>
          436
        </catValu>
        <labl>
          436
        </labl>
      </catgry>
      <catgry>
        <catValu>
          437
        </catValu>
        <labl>
          437
        </labl>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          438
        </labl>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          439
        </labl>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          440
        </labl>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          441
        </labl>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          442
        </labl>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          443
        </labl>
      </catgry>
      <catgry>
        <catValu>
          444
        </catValu>
        <labl>
          444
        </labl>
      </catgry>
      <catgry>
        <catValu>
          445
        </catValu>
        <labl>
          445
        </labl>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          446
        </labl>
      </catgry>
      <catgry>
        <catValu>
          447
        </catValu>
        <labl>
          447
        </labl>
      </catgry>
      <catgry>
        <catValu>
          448
        </catValu>
        <labl>
          448
        </labl>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          449
        </labl>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          450
        </labl>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          451
        </labl>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          452
        </labl>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          453
        </labl>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          454
        </labl>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          455
        </labl>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          456
        </labl>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          457
        </labl>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          458
        </labl>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          459
        </labl>
      </catgry>
      <catgry>
        <catValu>
          460
        </catValu>
        <labl>
          460
        </labl>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          461
        </labl>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          462
        </labl>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          463
        </labl>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          464
        </labl>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          465
        </labl>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          466
        </labl>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          467
        </labl>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          468
        </labl>
      </catgry>
      <catgry>
        <catValu>
          469
        </catValu>
        <labl>
          469
        </labl>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          470
        </labl>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          471
        </labl>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          472
        </labl>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          473
        </labl>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          474
        </labl>
      </catgry>
      <catgry>
        <catValu>
          475
        </catValu>
        <labl>
          475
        </labl>
      </catgry>
      <catgry>
        <catValu>
          476
        </catValu>
        <labl>
          476
        </labl>
      </catgry>
      <catgry>
        <catValu>
          477
        </catValu>
        <labl>
          477
        </labl>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          478
        </labl>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          479
        </labl>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          480
        </labl>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          481
        </labl>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          482
        </labl>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          483
        </labl>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          484
        </labl>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          485
        </labl>
      </catgry>
      <catgry>
        <catValu>
          486
        </catValu>
        <labl>
          486
        </labl>
      </catgry>
      <catgry>
        <catValu>
          487
        </catValu>
        <labl>
          487
        </labl>
      </catgry>
      <catgry>
        <catValu>
          488
        </catValu>
        <labl>
          488
        </labl>
      </catgry>
      <catgry>
        <catValu>
          489
        </catValu>
        <labl>
          489
        </labl>
      </catgry>
      <catgry>
        <catValu>
          490
        </catValu>
        <labl>
          490
        </labl>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          491
        </labl>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          492
        </labl>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          493
        </labl>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          494
        </labl>
      </catgry>
      <catgry>
        <catValu>
          495
        </catValu>
        <labl>
          495
        </labl>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          496
        </labl>
      </catgry>
      <catgry>
        <catValu>
          497
        </catValu>
        <labl>
          497
        </labl>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          498
        </labl>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          499
        </labl>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Days - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Weeks - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Months - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Years - Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Recent sexual partners Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3425" name="B_AGE1STSEX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age at first intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        AGE1STSEX (V525) indicates the woman's self-reported age for the first time she had sexual intercourse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not had intercourse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Refused to respond
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          At first union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3426" name="B_AGE1STSEXIMP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age at first intercourse (imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGE1STSEXIMP (V531) reports the respondent's age at first sexual intercourse.

This variable is the same as AGE1STSEX (V525), except for women who reported their first sexual intercourse was at the time of their union. For these women, the age at first sex is taken from the age at first union. In cases where the age at first sex was inconsistent with the age at conception of the first child, but only by one year, the age at first sex was reduced by one year.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not had sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Refused to respond
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3427" name="B_AGE1STSEXFLAG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Flag for age at first intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGE1STSEXFLAG (V532) is a flag variable reporting the type of inconsistency found when editing responses about when the respondent first had sexual intercourse.

Below are descriptions of each code:

0 = No flag
1 = Respondent reported age at first sexual intercourse that exceeds her current age (AGE (V012))
2 = Respondent reported her age at first sexual intercourse as occurring more than one year after the conception of her first child
3 = Respondent reported her age at first sexual intercourse as occurring up to one year after the conception of her first child
4 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but the respondent was never married (EVERMARRIED (V535))
5 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but her first marriage occurred after the conception of her first child
6 = Respondent reported her first sexual intercourse as being some time after her first marriage]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          After interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          After conception by 1 year or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          After conception by less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          At marriage, but never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          At marriage, but after conception
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          After marriage
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3428" name="B_SX1STPARAGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age of first sexual partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women, SX1STPARAGE (V830) reports the age of the woman's first sexual partner.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3429" name="B_SX1STPARELAGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        First sexual partner younger, same age, or older
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For young women, SX1STPARELAGE (V831) reports whether the woman's first sexual partner was younger, about the same age, or older than her.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Younger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          About the same
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Less than 10 years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          10 or more years older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Older, don't know difference
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3430" name="B_SX1STCULTURE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        First sex part of a cultural practice/ritual
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SX1STCULTURE indicates whether the woman's first sexual intercourse was part of a cultural practice or ritual.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/remember
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3431" name="B_SXPARLIFENO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Lifetime total number of sexual partners
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SXPARLIFENO (V836) reports the woman's lifetime total number of sex partners.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3432" name="B_SXCULTUREVER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever had sexual intercourse as part of a cultural practice/ritual
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women whose first sexual intercourse was not part of a cultural practice or ritual, SXCULTUREVER indicates whether the woman has ever had sexual intercourse as part of a cultural practice or ritual.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        First or ever sexual experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3433" name="B_NOSEXSTD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        When okay to refuse sex: Husband has STD
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        NOSEXSTD (V633A) indicates whether the woman believes a wife is justified in refusing to have sex with her husband if she knows he has a sexually transmittable infection.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3434" name="B_CON1STSEX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Condom used at first sexual intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CON1STSEX (V820) indicates whether the young woman used a condom the first time she had sexual intercourse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know / don't remember
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3435" name="B_CONASKIFSTI" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Wife justified to ask condom use if husband has STI
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONASKIFSTI (V822) indicates whether the woman believes a wife is justified in asking her husband to use a condom if he has an infection or disease that can be transmitted through sexual intercourse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3436" name="B_CONTCHKIDS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Thinks children should be taught about condoms
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONTCHKIDS (V780) indicates whether the woman thinks children ages 12-14 should be taught about condoms to avoid getting AIDS.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3437" name="B_CONASKPAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman can ask partner to use condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONASKPAR (V850B) indicates whether the woman can ask her husband or cohabiting partner to use a condom.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/not sure/depends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3438" name="B_CONEVERYPAR1" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Used condom every time had sex with most recent partner, past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONEVERYPAR1 (V833A) indicates whether the woman used a condom every time she had sex with her most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3439" name="B_CONEVERYPAR2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Used condom every time had sex with 2nd most recent partner, past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONEVERYPAR2 (V833B) indicates whether the woman used a condom every time she had sex with her second most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3440" name="B_CONEVERYPAR3" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Used condom every time had sex with 3rd most recent partner, past 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONEVERYPAR3 (V833C) indicates whether the woman used a condom every time she had sex with her third most recent sexual partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3441" name="B_CONUSMAN1" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Condom used during woman's most recent intercourse
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONUSMAN1 (V761) indicates whether the woman used a condom the last time she had sex with her most recent sex partner (from the last 12 months).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, male condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, female condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3442" name="B_CONUSMAN2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Condom used in woman's last intercourse with 2nd most recent partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONUSMAN2 (V761B) indicates whether the woman used a condom the last time she had sex with her second most recent sex partner (from the last 12 months).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, male condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, female condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3443" name="B_CONUSMAN3" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Condom used in woman's last intercourse with 3rd most recent partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONUSMAN3 (V761C) indicates whether the woman used a condom the last time she had sex with her third most recent sex partner (from the last 12 months).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, male condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, female condom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3444" name="B_CONFCAN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Could get herself: Female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONFCAN (V769A) indicates whether the woman can get a female condom for herself.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3445" name="B_CONMCAN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Could get herself: Male condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        CONMCAN (V769) indicates whether the woman can get a male condom for herself.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know/unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Condom use Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3446" name="B_HCMDK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Do not know a source for male condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMDK (V762AZ) indicates whether the woman did not know a source to obtain male condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, respondent knows a source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, do not know a source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3447" name="B_HCMPUBHOS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBHOS (V762AA) indicates whether the woman reported a "government hospital" as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPUBHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3448" name="B_HCMPUBHC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Public health center/post
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBHC (V762AB) indicates whether the woman reported a public health center or health post as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as HCMPUBHC, while preserving the separate responses in country-specific variables.

Due to variability in response category wording, IPUMS-DHS users are encouraged to review the Comparability tab.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3449" name="B_HCMPUBMOB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mobile clinic (public)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBMOB (V762AD) indicates whether the woman reported a "public mobile clinic" as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPRIVMOB (private mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3450" name="B_HCMPUBFW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBFW (V762AE) indicates whether the woman reported a public fieldworker as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public field workers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPUBFW.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3451" name="B_HCMPUBOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Other public source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPUBOTH (V762AF) indicates whether the woman reported some other public facility as a source for male condoms. The meaning of "other" depends on the sources for male condoms specified in a given sample.

See HCMPRIVOTH (other private medical sector) and HCMOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3452" name="B_HCMPRIVHOS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private hospital, clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVHOS (V762AJ) indicates whether the woman reported a "private hospital/clinic" as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private hospitals/clinics that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3453" name="B_HCMPRIVDRUG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private pharmacy, drug store, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVDRUG (V762AK) indicates whether the woman reported a private pharmacy, drug store, or dispensary as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private, formal drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVDRUG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3454" name="B_HCMPRIVMOB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVMOB (V762AM) indicates whether the woman reported a "private mobile clinic" as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPUBMOB (public mobile clinic).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3455" name="B_HCMPRIVFW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Private field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVFW (V762AN) indicates whether the woman reported a private fieldworker as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private fieldworkers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVFW.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3456" name="B_HCMPRIVFPC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Family planning clinic (private)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVFPC indicates whether the woman reported a private family planning clinic or association as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPUBFPC (public family planning clinic or association).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3457" name="B_HCMPRIVMIS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Religious/mission hospital, health center, clinic, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVMIS indicates whether the woman reported a faith-based health facility as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMPRIVMIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3458" name="B_HCMPRIVOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Other private source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMPRIVOTH indicates whether the woman reported some other private medical facility or organization as a source for male condoms. The meaning of "other" depends on the sources for male condoms specified in a given sample.

See HCMPUBOTH (other public medical sector) and HCMOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3459" name="B_HCMSHOP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Shop (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMSHOP (V762AS) indicates whether the woman reported a "shop" as a source for male condoms.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCMSHOP.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3460" name="B_HCMCHURCH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Church (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMCHURCH (V762AT) indicates whether the woman reported a "church" or "religious institution" (for example mosques and temples) as a source for male condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCMPRIVMIS (faith-based health facility).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3461" name="B_HCMFRND" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Friends/relatives (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMFRND (V762AU) indicates whether the woman reported "friends, acquaintances or relatives" as a source for male condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3462" name="B_HCMOTHER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMOTHER (V762AX) indicates whether the woman reported some other (non-public or not private medical sector) facility as a source for male condoms.  The meaning of "other" depends on the sources for male condoms specified in a given sample.

See HCMPUBOTH (other public medical sector) and HCMPRIVOTH (other private medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3463" name="B_HCFDK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Do not know a source for female condom
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFDK (V762BZ) indicates whether the woman did not know a source to obtain female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, knows a source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, don't know source for female condoms
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3464" name="B_HCFPUBHOS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBHOS (V762BA) indicates whether the woman reported a public hospital as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFPUBHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3465" name="B_HCFPUBHC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Public health center/post
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBHC (V762BB) indicates whether the woman reported a public health center or post as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as HCFPUBHC, while preserving the separate responses in country-specific variables. See the Comparability section and Survey Text tab for more details.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3466" name="B_HCFPUBMOB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mobile clinic (public)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFPUBMOB (V762BD) indicates whether the woman reported a public "mobile clinic" as a source for female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3467" name="B_HCFPUBFW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Public field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBFW (V762BE) indicates whether the woman reported a "public field worker" or "community-based distributor" as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as HCFPUBFW, while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3468" name="B_HCFPUBOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Other public source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPUBOTH (V762BF) indicates whether the woman reported some other public facility as a source for female condoms.

See HCFPRIVOTH (other private medical sector) and HCFOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3469" name="B_HCFPRIVHOS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private hospital, clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVHOS (V762BJ) indicates whether the woman reported a private hospital or clinic as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3470" name="B_HCFPRIVDRUG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private pharmacy, drug store, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVDRUG (V762BK) indicates whether the woman reported a private pharmacy, drug store, or dispensary as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private, formal drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFPRIVDRUG.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3471" name="B_HCFPRIVMOB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private mobile clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFPRIVMOB (V762BM) indicates whether the woman reported a "private mobile clinic" as a source for female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3472" name="B_HCFPRIVFW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Private field worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVFW (V762BN) indicates whether the woman reported a "private field worker" or private/NGO "community-based distributor" as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3473" name="B_HCFPRIVMIS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Religious/mission hospital, health center, clinic, or dispensary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVMIS indicates whether the woman reported a mission or religious health facility as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFPRIVMIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3474" name="B_HCFPRIVOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Other private source
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFPRIVOTH (V762BO) indicates whether the woman reported some other private facility as a source for female condoms.

See HCFPUBOTH (other public medical sector) and HCFOTHER (other non-medical sector) for similar variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3475" name="B_HCFSHOP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Shop (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFSHOP (V762BS) indicates whether the woman reported a "shop" as a source for female condoms.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in HCFSHOP.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3476" name="B_HCFCHURCH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Church (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFCHURCH (V762BT) indicates whether the woman reported a "church" or "religious institution" (for example, mosques and temples) as a source for female condoms.

IPUMS-DHS users should be careful to distinguish this variable from HCFPRIVMIS (faith-based health facility).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3477" name="B_HCFFRND" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Friends/relatives (other)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFFRND (V762BU) indicates whether the woman reported "friends or relatives" as a source for female condoms.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3478" name="B_HCFOTHER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFOTHER (V762BX) indicates whether the woman reported some other (non-public or not private medical sector) place as a source for female condoms. The meaning of "other" depends on the specific sources for female condoms identified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3479" name="B_HCFMW2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW2 indicates whether the woman reported a "mission health center" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW2 is combined with HCFMW3 (mission hospital), HCFMW4 (mission mobile clinic), and HCFMW9 (mission door-to-door) in HCFPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. 

Additionally, HCFMW2 is combined with HCFMW3 and HCFMW4 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCFMW2 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3480" name="B_HCFMW3" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW3 indicates whether the woman reported a "mission hospital" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW3 is combined with HCFMW2 (mission health center), HCFMW4 (mission mobile clinic), and HCFMW9 (mission door-to-door) in HCFPRIVMIS (all faith-based facilities) for the 2010 Malawi sample.

Additionally, HCFMW3 is combined with HCFMW2 and HCFMW4 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCFMW3 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3481" name="B_HCFMW4" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission mobile clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW4 indicates whether the woman reported a "mission mobile clinic" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW4 is combined with HCFMW2 (mission health center), HCFMW3 (mission hospital), and HCFMW9 (mission door-to-door) in HCFPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. 

Additionally, HCFMW4 is combined with HCFMW2 and HCFMW3 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCFMW4 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3482" name="B_HCFMW6" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Health Surveillance Assistant (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW6 indicates whether the woman reported a "health surveillance assistant (HSA)" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW6 is combined with HCFMW8 (CBDA/door-to-door) in HCFPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCFMW6 are encouraged to review HCFPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3483" name="B_HCFMW7" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Youth drop-in center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCFMW7 indicates whether the woman reported a "youth drop-in center" as a source for female condoms. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3484" name="B_HCFMW8" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: CBDA/Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW8 indicates whether the woman reported a "CBDA [community-based distribution agent/door-to-door" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW8 is combined with HCFMW6 (HSA) in HCFPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCFMW6 are encouraged to review HCFPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3485" name="B_HCFMW9" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for female condoms: Mission door to door (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCFMW9 indicates whether the woman reported a "mission door-to-door" as a source for female condoms. This response category is country-specific to Malawi.

Some samples in the "HCF" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCFMW9 is combined with HCFMW2 (mission health center), HCFMW3 (mission hospital), and HCFMW4 (mission mobile clinic) in HCFPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCFMW9 are encouraged to review HCFPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3486" name="B_HCMMW1" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW1 indicates whether the woman reported a "mission hospital" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW1 is combined with HCMMW2 (mission health center), HCMMW3 (mission mobile clinic), and HCMMW9 (mission door-to-door) in HCMPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. 

Additionally, HCMMW1 is combined with HCMMW2 and HCMMW3 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCMMW1 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3487" name="B_HCMMW2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW2 indicates whether the woman reported a "mission health center" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW2 is combined with HCMMW1 (mission hospital), HCMMW3 (mission mobile clinic), and HCMMW9 (mission door-to-door) in HCMPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample.

Additionally, HCMMW2 is combined with HCMMW1 and HCMMW3 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCMMW2 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3488" name="B_HCMMW3" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission mobile clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW3 indicates whether the woman reported a "mission mobile clinic" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW3 is combined with HCMMW1 (mission hospital), HCMMW2 (mission health center), and HCMMW9 (mission door-to-door) in HCMPRIVMIS (all faith-based facilities) for the 2010 Malawi sample.

Additionally, HCMMW3 is combined with HCMMW1 and HCMMW2 in HCMPRIVMIS for the 2000 and 2004 Malawi samples. 

IPUMS-DHS users interested in using HCMMW3 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3489" name="B_HCMMW5" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Government health post/outreach (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMMW5 indicates whether the woman reported a "government health post or outreach" as a source for male condoms. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3490" name="B_HCMMW6" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Health Surveillance Assistant (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW6 indicates whether the woman reported a "health surveillance assistant (HSA)" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW6 is combined with HCMMW8 (CBDA/door-to-door) in HCMPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCMMW6 are encouraged to review HCMPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3491" name="B_HCMMW7" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Youth drop-in center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HCMMW7 indicates whether the woman reported a "youth drop-in center" as a source for male condoms. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3492" name="B_HCMMW8" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: CBDA/Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW8 indicates whether the woman reported a "CBDA [community-based distribution agent/door-to-door" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW8 is combined with HCMMW6 (HSA) in HCMPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCMMW6 are encouraged to review HCMPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3493" name="B_HCMMW9" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Known source for male condoms: Mission door to door (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HCMMW9 indicates whether the woman reported a "mission door-to-door" as a source for male condoms. This response category is country-specific to Malawi.

Some samples in the "HCM" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

HCMMW9 is combined with HCMMW1 (mission hospital), HCMMW2 (mission health center), and HCMMW3 (mission mobile clinic) in HCMPRIVMIS (all faith-based facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using HCMMW9 are encouraged to review HCMPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Country-specific sources Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3494" name="B_STIHEARD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard of AIDS or other sexually transmitted infections
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STIHEARD (V750) indicates whether the woman had heard of AIDS or any other sexually transmitted infection (STI).

For a variable that indicates whether the respondent had heard of STIs other than AIDS, see STIHEARDOTH (V785). For a variable that indicates whether the respondent had heard of AIDS specifically, see AIDSHEARD (V751).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3495" name="B_STIHEARDOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard about other STDs
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STIHEARDOTH (V785) indicates whether the woman has heard of any sexually transmitted infection other than AIDS.

For a variable that records whether the respondent has heard of AIDS or any other STIs, see STIHEARD (V750).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3496" name="B_STIANYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Had any sexually transmitted infection in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        STIANYR (V763A) indicates whether the woman had any sexually transmitted infection in the last 12 months. How this information was collected changed over time. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3497" name="B_STIDISCHGYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Had genital discharge in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        STIDISCHGYR (V763C) indicates whether the woman had any bad smelling abnormal genital discharge in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3498" name="B_STISOREYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Had genital ulcer/sore in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        STISOREYR (V763B) indicates whether the woman had a sore or genital ulcer in the last 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General STI Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3499" name="B_STIADVICE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought advice for last STI
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had a sexually-transmitted infection (STI), abnormal genital discharge, or genital sore/ulcer in the past 12 months, STIADVICE (V770) indicates whether they sought advice or treatment for this problem.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3500" name="B_STIADPUBHOS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Public hospital
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBHOS indicates whether, in response to an open-ended question, they repeated seeking advice or treatment from a public hospital for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in STIADPUBHOS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3501" name="B_STIADPUBHC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Public health center
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBHC indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public hospital for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in STIADPUBHC.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3502" name="B_STIADPUBHP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Public health post
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBHP indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public health post for this problem. 

IPUMS-DHS users should be careful to distinguish this variable from STIADHPDISP, a standard variable indicating whether the woman sought advice from a health post or a dispensary.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3503" name="B_STIADPUBOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Other public
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPUBOTH indicates whether, in response to an open-ended question, they reported seeking advice or treatment from some "other" public medical facility for this problem. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from STIADPRIVOTH ("other" under the private medical sector) and STIADOTHER ("other" not under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3504" name="B_STIADPRIVHOS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Private hospital/clinic/doctor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPRIVHOS indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a private hospital, clinic, or doctor for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3505" name="B_STIADPRIVMIS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Religious/mission hospital, health center, or clinic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPRIVMIS indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a faith-based health facility for this problem. 

Some samples in the "STIAD" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of faith-based facilities that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in STIADPRIVMIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3506" name="B_STIADPRIVOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Other private medical
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADPRIVOTH indicates whether, in response to an open-ended question, they reported seeking advice or treatment from some "other" private medical facility for this problem. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from STIADPUBOTH ("other" under the public medical sector) and STIADOTHER ("other" that is not under either the private or the public medical sector).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3507" name="B_STIADOTHER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADOTHER indicates whether, in response to an open-ended question, they reported seeking advice or treatment from some "other" source for this problem. The meaning of "other" depends on the specific response categories included in a given sample.

Users should be careful to distinguish this variable from STIADPUBOTH ("other" under the public medical sector) and STIADPRIVOTH ("other" under the private medical sector). STIADOTHER includes those "other" categories that do not fit into the public or private medical sector.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3508" name="B_STIADMW1" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Private hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW1 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a private hospital/clinic/doctor for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW1 is combined with STIADMW2 (private company hospital/clinic) in STIADPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW1 are encouraged to review STIADPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3509" name="B_STIADMW2" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Private company hospital/clinic (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW2 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a private company hospital/clinic for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW2 is combined with STIADMW1 (private hospital/clinic/doctor) in STIADPRIVHOS (private hospital, clinic, or doctor) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW2 are encouraged to review STIADPRIVHOS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3510" name="B_STIADMW3" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Door to door (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW3 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public "door to door" for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW3 is combined with STIADMW4 (public health surveillance assistant (HSA)) in STIADPUBFW (all public field workers) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW3 are encouraged to review STIADPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3511" name="B_STIADMW4" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Health surveillance assistant (HSA) (public) (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW4 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a public health surveillance assistant (HSA) for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW4 is combined with STIADMW3 (public "door to door") in STIADPUBFW (all public fieldworkers) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW4 are encouraged to review STIADPUBFW for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3512" name="B_STIADMW5" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Mission hospital (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW5 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a religious hospital for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW5 is combined with STIADMW6 (religious health center) in STIADPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW5 are encouraged to review STIADPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3513" name="B_STIADMW6" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: Mission health center (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW6 indicates whether, in response to an open-ended question, they reported seeking advice or treatment from a religious health center for this problem. This response category is country-specific to Malawi.

Some samples in the "STIAD" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

STIADMW6 is combined with STIADMW5 (religious hospital) in STIADPRIVMIS (all faith-based health facilities) for the 2010 Malawi sample. IPUMS-DHS users interested in using STIADMW6 are encouraged to review STIADPRIVMIS for a more comprehensive response category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3514" name="B_STIADMW7" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought STI advice from: MACRO (Malawi)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who had symptoms of a sexually transmitted infection in the past 12 months, STIADMW7 indicates whether, in response to an open-ended question they reported seeking advice or treatment from MACRO [Malawi AIDS Counseling and Resource Organization] for this problem. This response category is country-specific to Malawi.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Source for STI advice Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3515" name="B_DVAARGUE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman argues with him
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAARGUE (V744C) indicates whether the woman believes a husband is justified in hitting or beating his wife if she argues with him.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3516" name="B_DVABURNFOOD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman burns food
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVABURNFOOD (V744E) indicates whether the woman believes a husband is justified in hitting or beating his wife if she burns the food.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3517" name="B_DVAGOOUT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman goes out without telling him
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAGOOUT (V744A) indicates whether the woman believes a husband is justified in hitting or beating his wife if she goes out without telling him.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3518" name="B_DVAIFNOSEX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman refused to have sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAIFNOSEX (V744D) indicates whether the woman believes a husband is justified in hitting or beating his wife if she refuses to have sex with him.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3519" name="B_DVANEGKID" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Attitude to wife beating: Justified if woman neglects the children
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVANEGKID (V744B) indicates whether the woman believes a husband is justified in hitting or beating his wife if she neglects the children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3520" name="B_DVAPRESHUSB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Husband present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DVAPRESHUSB (V812) indicates whether the woman's husband or partner was present when survey questions regarding the woman's attitudes on wife-beating were asked. 
This variable relates to the interviewer's observation and is not asked of the woman directly.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3521" name="B_DVAPRESOMALE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Other males present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAPRESOMALE (V813) indicates whether a male who is not the woman's husband or partner was present when survey questions regarding the woman's attitudes on wife-beating were asked. This variable relates to the interviewer's observation and is not asked of the woman directly.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3522" name="B_DVAPRESOFEM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Other females present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAPRESOFEM (V814) indicates whether another female was present when survey questions regarding the woman's attitudes on wife-beating were asked. This variable relates to the interviewer's observation and is not asked of the woman directly.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3523" name="B_DVAPRESKIDS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Children present during "wife beating justified" questions
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVAPRESKIDS (V811) indicates whether any children under the age of ten were present when survey questions regarding the woman's attitudes on wife-beating were asked. This variable relates to the interviewer's observation and is not asked of the woman directly.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, not listening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence attitudes Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3524" name="B_DVCCHEAT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Husband accuses her of unfaithfulness
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCCHEAT (D101B) indicates whether their husband frequently accused them of being unfaithful.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, accuses her of unfaithfulness
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3525" name="B_DVCFAMILY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Husband tries to limit her contact with family
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCFAMILY (D101D) indicates whether their husband tried to limit their contact with family.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, limits contact with her family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3526" name="B_DVCJEALOUS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Husband jealous if talking with other men
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCJEALOUS (D101A) indicates whether their husband was jealous or angry when they talked to other men.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, jealous if she talks to men
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3527" name="B_DVCLOCATION" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Husband insists on knowing where she is
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCLOCATION (D101E) indicates whether their husband insisted on knowing where they were at all times.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, insists on knowing where she is
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3528" name="B_DVCMEETFRND" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Husband does not permit her to meet her girlfriends
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCMEETFRND (D101C) indicates whether their husband did not allow them to meet their female friends.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, doesn't let her meet girlfriends
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3529" name="B_DVCMONEY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Husband doesn't trust her with money
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCMONEY (D101F) indicates whether their husband didn't trust them with money.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, this is not a problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, husband doesn't trust her with money
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3530" name="B_DVCTOTAL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of control issues
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been married, DVCTOTAL (D102) reports the total number of control issues exhibited by their husband. Control issues include jealousy, limitations on contact with family and friends, accusations of cheating, insistence upon always knowing a woman's location, and, often, distrust with money.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3531" name="B_DVEEVER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever any emotional violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEEVER (D104) indicates whether they ever experienced any emotional violence from their husband/partner. Emotional violence includes humiliation, insults, and threats of harm.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3532" name="B_DVEHUMIL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever humiliated her
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEHUMIL (D103A) indicates whether their husband/partner had ever said or done something to humiliate them in front of others.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3533" name="B_DVEHUMILFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency of humiliation
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEHUMILFQ reports how often their husband/partner said or did something to humiliate them in front of others in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not humiliated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, ever humiliated, know frequency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, but not at all in the last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3534" name="B_DVEINSULT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever insulted or made feel bad
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEINSULT (D103C) indicates whether their husband/partner ever insulted them or made them feel bad about themselves.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3535" name="B_DVEINSULTFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency of insults or making feel bad
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVEINSULTFQ reports how often the female respondent's husband/partner had insulted her or made her feel bad about herself in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not insulted/made feel bad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, but timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, ever insulted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3536" name="B_DVETHREAT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever threatened with harm
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVETHREAT (D103B) indicates whether their husband/partner ever threatened to hurt them or harm someone close to them.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3537" name="B_DVETHREATFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency of threats of harm in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married, DVETHREATFQ reports how often the respondent's husband/partner had threatened to hurt or harm her or someone close to her in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not threatened
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, ever threatened
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Yes, but not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3538" name="B_DVPAHITMA" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Did her father ever beat her mother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVPAHITMA (D121) indicates whether the woman's father ever beat her mother.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, father did not hit mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, father hit mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3539" name="B_DVPPUSH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever pushed, shook, or threw something
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUSH (D105A) indicates whether her husband/partner ever pushed her, shook her, or threw something at her.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3540" name="B_DVPPUSHFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency spouse pushed, shook, or threw something
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUSHFQ reports how often the woman had been pushed, shaken, or had something thrown at her by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not pushed or shaken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever pushed or shaken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3541" name="B_DVPSLAP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever slapped
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSLAP (D105B) indicates whether the woman's husband/partner ever slapped her.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3542" name="B_DVPSLAPFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency slapped by partner, last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSLAPFQ reports how often the woman was slapped by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not ever slapped
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever slapped
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3543" name="B_DVPTWIST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever twisted her arm or pulled her hair
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPTWIST (D105J) indicates whether the woman's husband/partner ever twisted her arm or pulled her hair.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3544" name="B_DVPTWISTFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency arm twisted or hair pulled by partner in last 12 month
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPTWISTFQ reports how often the woman's arm was twisted or her hair was pulled by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never had arm twisted or hair pulled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever arm twisted or hair pulled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3545" name="B_DVPPUNCH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever punched with fist or something harmful
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUNCH (D105C) indicates whether the woman's husband/partner ever punched her with a fist or with something that could hurt her.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3546" name="B_DVPPUNCHFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency of being punched or hit with object
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPPUNCHFQ reports how often the woman was punched by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not punched
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever punched, know frequency
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3547" name="B_DVPCHOKE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever tried to strangle or burn
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and ever married or lived with a man, DVPCHOKE (D105E) indicates whether the husband/partner ever tried to strangle or burn her on purpose.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3548" name="B_DVPCHOKEFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency of husband's attempts to strangle or burn
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPCHOKEFQ reports how often the woman's husband/partner attempted to strangle or burn her in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not attempted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, husband ever tried to strangle or burn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3549" name="B_DVPKICK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever kicked or dragged
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKICK (D105D) indicates whether the woman's husband/partner had ever kicked her, dragged her, or beaten her up.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3550" name="B_DVPKICKFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency of being kicked or dragged
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKICKFQ reports how often the woman was kicked or dragged by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not kicked or dragged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever kicked or dragged
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3551" name="B_DVPKNFTHUSE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever threatened or attacked with knife/gun
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKNFTHUSE (D105F) indicates whether the woman's husband/partner ever threatened or attacked her with a knife, gun, or other weapon.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3552" name="B_DVPKNFTHUSEF" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency of spouse's threats or attacks with knife/gun
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPKNFTHUSEF reports how often the woman was threatened or attacked with a knife, gun, or other weapon by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not threatened or attacked with weapon
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever threatened or attacked
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3553" name="B_DVP1STTIME" files="F3" dcml="0" intrvl="discrete">
      <labl>
        First time violence happened, in years after marriage
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and experienced physical or sexual violence from their husband/partner, DVP1STTIME (D109) reports how long after marriage/cohabitation the abuse first happened.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Before union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          After separation/divorce
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3554" name="B_DVPMSEVER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever experienced any severe violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPMSEVER (D107) indicates whether the woman ever experienced "more severe" violence from her husband/partner. The specific acts that are considered "more severe" vary across samples. See the "Comparability" tab for more information.

The complementary variable DVPLSEVER indicates a woman's experience with "less severe" violence from a husband or partner.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3555" name="B_DVPLSEVER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever experienced any less severe violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPLSEVER (D106) indicates whether the woman ever experienced "less severe" violence from her husband/partner. The specific acts that are considered "less severe" vary across samples. See the "Comparability" tab for more information.

The complementary variable DVPMSEVER indicates the woman's experience with "more severe" violence from a husband or partner.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3556" name="B_DVRBRUISE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever had bruises because of husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence from their husband/partner, DVRBRUISE (D110A) indicates whether the woman ever had bruises or aches because of her husband/partner's actions.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3557" name="B_DVRINJURY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever had injury, sprain, or burns from husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual violence from their husband/partner, DVRINJURY (D110B) indicates whether, because of her husband's/partner's actions, the woman ever suffered some "other" injury not covered by the complementary variable DVRSERINJURY (D110D).

The particular injuries covered by DVRINJURY vary across samples. Please consult the "Comparability" tab for more information.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3558" name="B_DVRSERINJURY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever had wounds, broken bones/teeth from husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence from their husband/partner, DVRSERINJURY (D110D) indicates whether the woman ever suffered serious injury--such as deep wounds, broken bones, or broken teeth--because of her husband/partner's actions.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3559" name="B_DVRANY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Any physical results of husband's actions
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence from their husband/partner, DVRANY (D111) indicates whether the woman ever had any physical results of her husband/partner's actions. The specific results vary across samples. See the "Comparability" tab for more information.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3560" name="B_DVPSEX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever physically forced sex when not wanted
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEX (D105H) indicates whether the woman's husband/partner ever physically forced her to have sexual intercourse even when she did not want to.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3561" name="B_DVPSEXFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency spouse physically forced sex
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXFQ reports how often the woman was forced to have sexual intercourse by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not physically forced sexually
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever forced sexually
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3562" name="B_DVPSEXOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Spouse ever forced other sexual acts when not wanted
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXOTH (D105I) indicates whether the woman's husband/partner ever forced her to perform any sexual acts she did not want to.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3563" name="B_DVPSEXOTHFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency spouse forced other sex act
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXOTHFQ reports how often the woman was forced to perform sex acts by her husband/partner in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not physically forced other sex act
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, ever forced other sex act
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Often during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Sometimes during last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Not at all in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes, timing and frequency unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3564" name="B_DVPSEXEVER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever experienced any sexual violence from partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVPSEXEVER (D108) indicates whether the woman ever experienced any sexual violence from her husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3565" name="B_DVDRINKS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Partner drinks alcohol
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVDRINKS (D113) indicates whether their husband/partner drank alcohol.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3566" name="B_DVDRINKSFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency partner gets drunk
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had a husband/partner who drank alcohol, DVDRINKSFQ (D114) reports how often their husband/partner got drunk.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sometimes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Often
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3567" name="B_DVHITHUSB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever physically hurt husband when he was not hurting her
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were ever married or lived with a man, DVHITHUSB (D112) indicates whether they ever physically hurt their husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3568" name="B_DVHITHUSBFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        How often physically hurt husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and ever physically hurt their husband/partner, DVHITHUSBFQ (D112A) reports how often she physically hurt him in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sometimes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Often
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Yes, but frequency and timing unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3569" name="B_DVINTERRHUS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Interview interruption due to presence of adult: Other Husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVINTERRHUS (D122A) indicates whether the domestic violence interview was interrupted due to the presence of the female respondent's husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3570" name="B_DVINTERRMALE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Interview interruption due to presence of adult: Other male
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVINTERRMALE (D122B) indicates whether the domestic violence interview was interrupted due to the presence of an adult male other than the woman's own husband/partner.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3571" name="B_DVINTERRFEM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Interview interruption due to presence of adult: Other female
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DVINTERRFEM (D122C) indicates whether the domestic violence interview was interrupted due to the presence of another adult female.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, more than once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Domestic violence from partner/husband Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3572" name="B_DV1SEXFORCED" files="F3" dcml="0" intrvl="discrete">
      <labl>
        First intercourse was forced or wanted
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DV1SEXFORCED (D123) indicates whether the respondent's first sexual intercourse was wanted or forced.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Wanted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused to answer/no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3573" name="B_DV1SEXACTWHO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Person who forced woman to first sexual activity
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been forced sexually, DV1SEXACTWHO (D127) reports who forced them to have sexual intercourse or perform other sexual acts the first time.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Husband/partner/boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Current husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Former husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Current/former boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Parent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Father or step-father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Step-father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Father-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Relative other than parent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Brother/step brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Step-brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          In-law, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Grandfather
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Other relative, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Own friend/acquaintance
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Family friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other role
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Teacher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Employer/someone at work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Neighbor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Police/soldier
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Priest/religious leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Stranger
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          Landlord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3574" name="B_DV1SEXACTAGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Age at first forced sexual activity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been forced sexually, DV1SEXACTAGE (D126) reports the respondent's age at the time they were first forced to have sexual intercourse or perform other sexual acts.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don’t know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3575" name="B_DVSEXFORCYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Anyone other than partner forced sex in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVSEXFORCYR (D124) indicates whether anyone other than her husband or partner had forced the woman to have sexual intercourse in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused to answer/no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3576" name="B_DVSEXACTSEV" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Anyone ever forced woman to perform sex acts
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVSEXACTSEV (D125) indicates whether anyone had ever forced the woman in any way to have sexual intercourse or perform other sexual acts.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused to answer/no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Sexual abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3577" name="B_DVPREGANY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Hurt by any person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGANY (D118Y) indicates whether they had been physically hurt by anyone during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, not hurt during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by anyone during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3578" name="B_DVPREGHUSB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGHUSB (D118A) indicates whether they had been physically hurt by their current husband or partner during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by husband during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3579" name="B_DVPREGEXPART" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Former partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGEXPART (D118J) indicates whether they had been physically hurt by their former husband/partner during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former partner during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3580" name="B_DVPREGBFNOW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Current boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGBFNOW (D118K) indicates whether they had been physically hurt by their current boyfriend during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by current boyfriend during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3581" name="B_DVPREGBFEX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Former boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGBFEX (D118L) indicates whether they had been physically hurt by their former boyfriend during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former boyfriend during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3582" name="B_DVPREGMA" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Mother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMA (D118B) indicates whether they had been physically hurt by their mother during their pregnancy. 

For a variable that combines "mother" and "step-mother" response categories in this series for some samples, see DVPREGMABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3583" name="B_DVPREGMASTEP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Stepmother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMASTEP (D118M) indicates whether they had been physically hurt by their step-mother during their pregnancy.

For a variable that combines "mother" and "step-mother" response categories in this series for some samples, see DVPREGMABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-mother during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3584" name="B_DVPREGMALAW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Mother-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMALAW (D118O) indicates whether they had been physically hurt by their mother-in-law during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother-in-law during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3585" name="B_DVPREGPA" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Father
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPA (D118C) indicates whether they had been physically hurt by their father during their pregnancy. 

For a variable that combines "father" and "step-father" response categories in this series for some samples, see DVPREGPABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3586" name="B_DVPREGPASTEP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Stepfather
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPASTEP (D118N) indicates whether they had been physically hurt by their step-father during their pregnancy. 

For a variable that combines "father" and "step-father" response categories in this series for some samples, see DVPREGPABOTH.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-father during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3587" name="B_DVPREGPALAW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Father-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPALAW (D118P) indicates whether they had been physically hurt by their father-in-law during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father-in-law during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3588" name="B_DVPREGSIBL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Brother or sister
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGSIBL (D118F) indicates whether they had been physically hurt by their sister or brother during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by sister or brother during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3589" name="B_DVPREGCHILD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Daughter or son
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGCHILD (D118D) indicates whether they had been physically hurt by their daughter or son during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by daughter or son during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3590" name="B_DVPREGOTHFAM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Other relative
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGOTHFAM (D118G) indicates whether they had been physically hurt by some other relative during their pregnancy. The meaning of "other" relative depends on the types of relatives specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other relative during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3591" name="B_DVPREGOTHLAW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Other in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGOTHLAW (D118Q) indicates whether they had been physically hurt by some other in-law during their pregnancy. The meaning of "other" in-law depends on the categories of in-laws specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other in-law during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3592" name="B_DVPREGBOSS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Employer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGBOSS (D118W) indicates whether they had been physically hurt by their employer during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by employer during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3593" name="B_DVPREGPOL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Police
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGPOL (D118XE) indicates whether they had been physically hurt by a police officer or soldier during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by police during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3594" name="B_DVPREGMED" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Medical personnel
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGMED (D118XI) indicates whether they had been physically hurt by medical personnel during their pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by medical personnel during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3595" name="B_DVPREGTCH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Teacher
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGTCH (D118V) indicates whether they had been physically hurt by a teacher (gender unspecified) during a pregnancy.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by teacher during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3596" name="B_DVPREGOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse while pregnant: Other person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had ever been pregnant, DVPREGOTH (D118X) indicates whether they had been physically hurt by some other person during their pregnancy. The meaning of "other" depends on the specific categories included in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other person during pregnancy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse while pregnant Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3597" name="B_DVOANY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physically hurt by anyone other than husband
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOANY (D115Y) indicates whether anyone other than the woman's husband/partner had slapped, hit, kicked, or otherwise physically hurt her since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Refused / no response
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3598" name="B_DVOFQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Frequency hit by other than partner in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and were physically attacked by someone other than their husband/partner since age 15, DVOFQ (D117A) reports the frequency of such attacks in the past 12 months.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Does occur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Seldom/once
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Sometimes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Often
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Widowed/separated/divorced, no info
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3599" name="B_DVOEXPART" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Former partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOEXPART (D115J) indicates whether they had been physically hurt by their former, but not most recent, husband/partner since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3600" name="B_DVOBFNOW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Current boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOBFNOW (D115K) indicates whether they had been physically hurt by their current boyfriend since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by current boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3601" name="B_DVOBFPAST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Former boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOBFPAST (D115L) indicates whether they had been physically hurt by their former boyfriend since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by former boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3602" name="B_DVOMA" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Mother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOMA (D115B) indicates whether they had been physically hurt by their mother since age 15. 

See DVOMABOTH for a variable that combines "mother" and "step-mother" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3603" name="B_DVOMASTEP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Stepmother
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOMASTEP (D115M) indicates whether they had been physically hurt by their stepmother since age 15. 

See DVOMABOTH for a variable that combines "step-mother" and "mother" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3604" name="B_DVOMALAW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Mother-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOMALAW (D115B) indicates whether they had been physically hurt by their mother-in-law since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by mother-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3605" name="B_DVOPA" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Father
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOPA (D115C) indicates whether they had been physically hurt by their father since age 15. 

See DVOPABOTH for a variable that combines "father" and "step-father" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3606" name="B_DVOPASTEP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Stepfather
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOPASTEP (D115N) indicates whether they had been physically hurt by their stepfather since age 15. 

See DVOPABOTH for a variable that combines "step-father" and "father" responses in this series for some samples.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by step-father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3607" name="B_DVOPALAW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Father-in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOPALAW (D115P) indicates whether they had been physically hurt by their father-in-law since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by father-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3608" name="B_DVOSIBL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Brother or sister
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOSIBL (D115F) indicates whether they had been physically hurt by their brother or sister since age 15. 

For samples with this series that separate brother and sister responses, see variables DVOBRO and DVOSIS.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by sister or brother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3609" name="B_DVOCHILD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Daughter or son
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who were randomly selected and interviewed for the domestic violence module, DVOCHILD (D115D) indicates whether they had been physically hurt by their daughter or son since age 15. 

For samples with this series that separate whether the respondent was hurt by their daughter or son, see variables DVODAU and DVOSON (D115E).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by daughter or son
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3610" name="B_DVOTHFAM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Other relative
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOTHFAM (D115G) indicates whether they had been physically hurt by some other relative since age 15. The meaning of "other" relative depends on the categories of relatives specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3611" name="B_DVOTHLAW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Other in-law
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOTHLAW (D115Q) indicates whether they had been physically hurt by some other in-law since age 15. The meaning of "other" in-law depends on the types of in-laws specified in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3612" name="B_DVOBOSS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Employer or someone at work
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOBOSS (D115W) indicates whether they had been physically hurt by their employer or someone at work since age 15. The related variables DVOBOSSM and DVOBOSSF address physical abuse from a male and female employer, respectively.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by employer or someone at work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3613" name="B_DVOPOL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Police
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOPOL (D115XE) indicates whether they had been physically hurt by a police officer or soldier since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by police
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3614" name="B_DVOTCH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Teacher
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOTCH (D115V) indicates whether they had been physically hurt by a teacher (gender unspecified) since age 15.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by teacher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3615" name="B_DVOOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Physical abuse by others: Some other person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module, DVOOTH (D115X) indicates whether they had been physically hurt by some other person since age 15. The meaning of "other" depends on the specific categories included in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, physically hurt by other person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Physical abuse from others Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3616" name="B_DVHANY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: No one
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHANY (D119Y) indicates whether they sought help from anyone to stop such abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, did not seek help from anyone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from someone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3617" name="B_DVHHUSPART" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Current/former husband/partner
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHHUSPART (D119J) indicates whether they sought help from their current/last/late husband or partner to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from current/former husband/partner
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3618" name="B_DVHBF" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Current/former boyfriend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHBF (D119K) indicates whether they sought help from their boyfriend to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from current/former boyfriend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3619" name="B_DVHFAMOWN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Own family
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHFAMOWN (D119H) indicates whether they sought help from their own family to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from own family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3620" name="B_DVHFAMPART" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Partner's family
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHFAMPART (D119I) indicates whether they sought help from their husband's or partner's family to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from partner's family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3621" name="B_DVHFRND" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Friend
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHFRND (D119XD) indicates whether they sought help from a friend (gender not specified) to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from friend
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3622" name="B_DVHNHBR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Neighbor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHNHBR indicates whether they sought help from a neighbor to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from neighbor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3623" name="B_DVHDOCTOR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Doctor
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHDOCTOR (D119XH) indicates whether they sought help from a doctor or other medical personnel to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3624" name="B_DVHLAWYER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Lawyer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHLAWYER (D119XG) indicates whether they sought help from a lawyer to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from lawyer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3625" name="B_DVHPOL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Police
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHPOL (D119XE) indicates whether they sought help from the police to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from police
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3626" name="B_DVHCOMLEAD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Community leader
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHCOMLEAD (D119XC) indicates whether they sought help from a community leader to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from community leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3627" name="B_DVHCLERGY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Religious leader
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHCLERGY (D119XF) indicates whether they sought help from a religious leader to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from religious leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3628" name="B_DVHTRADLEAD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Traditional leader
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHTRADLEAD indicates whether they sought help from a traditional authority (such as a chief) to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from traditional leader
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3629" name="B_DVHBOSS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Employer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHBOSS (D119W) indicates whether they sought help from their employer to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3630" name="B_DVHSSO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Social service association
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHSSO (D119XB) indicates whether they sought help from a social service organization to stop that abuse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from social service organization
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3631" name="B_DVHOTHER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought help to stop violence: Other person
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and had experienced physical or sexual abuse, DVHOTHER (D119X) indicates whether they sought help from some other person to stop that abuse. The meaning of "other" depends on the specific categories identified for help-seeking in a given sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, sought help from other person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3632" name="B_DVTOLD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Told anyone else about violence
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who were randomly selected and interviewed for the domestic violence module and who had experienced physical or sexual violence without seeking help, DVTOLD (D128) indicates whether the woman ever told anyone other than the interviewer about that violence.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Help sought for abuse Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3633" name="B_BEDNETSLEPT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman slept under bednet last night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDNETSLEPT (V461) indicates whether the respondent slept under a mosquito bed net the previous night.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, treated bednet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, untreated bednet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3634" name="B_TBEVHEARD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard of TB
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBEVHEARD (V474) indicates whether the woman has ever heard of tuberculosis.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3635" name="B_TBCURABLE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Believes TB can be cured
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBCURABLE (V475) indicates whether the woman believes tuberculosis can be cured.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3636" name="B_TBFAMSECRET" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Would keep TB in family secret
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBFAMSECRET (V476) reports the woman's response to a hypothetical question about whether "if a member of your family got tuberculosis, would you want it to remain a secret?"
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Knowledge of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3637" name="B_TBDIAGPRO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Diagnosed with TB by provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBDIAGPRO indicates whether the woman was ever told by a doctor or other healthcare professional that she had tuberculosis.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        TB experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3638" name="B_TBDIAGWHEN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        When diagnosed with TB by provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women ever diagnosed with tuberculosis by a health care professional, TBDIAGWHEN reports how many years ago the diagnosis was made.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 1 year ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1 to 5 years ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          More than 5 years ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        TB experience Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3639" name="B_TBSPREDSNEZ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Coughing or sneezing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDSNEZ (V474A) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through the air when coughing or sneezing.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3640" name="B_TBSPREDUTEN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Sharing utensils
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDUTEN (V474B) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads by sharing utensils.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3641" name="B_TBSPREDTOUCH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Touch
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDTOUCH (V474C) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through touching a person with the illness.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3642" name="B_TBSPREDFOOD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Food
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDFOOD (V474D) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through food.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3643" name="B_TBSPREDSEX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Sexual contact
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDSEX (V474E) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through sexual contact.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3644" name="B_TBSPREDMOSQ" files="F3" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Mosquito bites
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDMOSQ (V474F) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through mosquito bites.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3645" name="B_TBSPREDBED" files="F3" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Sharing clothes/bed/towel
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDBED indicates whether the woman stated, in response to an open-ended question, that tuberculosis is spread by sharing clothing, bed linen, or towels.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3646" name="B_TBSPREDSMOK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Smoking
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSREDSMOK indicates whether the woman stated, in response to an open-ended question, that tuberculosis is spread through smoking.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3647" name="B_TBSPREDOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Other
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDOTH (V474X) indicates whether, in response to an open-ended question, the respondent stated that tuberculosis spreads through some other means. The meaning of "other" must be interpreted relative to the specific categories included in a particular sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3648" name="B_TBSPREDDK" files="F3" dcml="0" intrvl="discrete">
      <labl>
        TB spread by: Don't know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TBSPREDDK (V474Z) indicates whether, in response to an open-ended question, the respondent stated that she does not know how tuberculosis spreads.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Cause and spread of TB Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3649" name="B_FSEVHAD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ever had fistula
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FSEVHAD indicates whether the woman ever had fistula. Question wording varies across samples. See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3650" name="B_FSAFTDELIVER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Delivery (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who experienced fistula, FSAFTDELIVER indicates whether the condition occurred after delivery or a stillbirth.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, after miscarriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, after delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3651" name="B_FSAFTASSAULT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Sexual assault (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women with fistula that did not occur after delivery, FSAFTASSAULT indicates whether the condition occurred after sexual assault.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3652" name="B_FSAFTPELVIC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Pelvic surgery (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who experienced fistula for reasons other than delivery and sexual assault, FSAFTPELVIC indicates whether the condition occurred after pelvic surgery.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3653" name="B_FSAFTOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Experienced fistula after: Other event (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women with fistula, FSAFTOTH indicates whether the condition occurred after an event other than delivery, sexual assault, or pelvic surgery.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3654" name="B_FSDAYSAFTER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Days after causal event that leakage occurred
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FSDAYSAFTER reports how many days after the causal event (such as delivery) that urinary leakage from fistula occurred.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Same day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3655" name="B_FSDELIVERTYP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Type of delivery where fistula occurred
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSDELIVERTYP reports the characteristics (normal versus difficult delivery, live birth versus stillbirth outcome) of the delivery causing the female respondent's obstetric fistula. Question wording and response categories vary across surveys. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          During normal labor/delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          During difficult delivery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          During difficult delivery, live birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          During difficult delivery, stillborn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          During pelvic surgery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3656" name="B_FSDELIVALIVE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Baby born alive in birth causing fistula
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSDELIVALIVE indicates whether the delivery causing the female respondent's fistula resulted in a live birth. Similar information is included for some samples in FSDELIVERTYP.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, stillbirth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, born alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, died in first 7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, died after 7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Yes, still alive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3657" name="B_FSSEEKTREAT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sought treatment for fistula
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSSEEKTREAT indicates whether the woman sought treatment for fistula. Question wording varied across surveys. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3658" name="B_FSTREATTIME" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Time after onset of leakage before seeking treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSTREATTIME reports how many months after the onset of leakage that the woman sought treatment for fistula.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1 to 6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          7 to 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          More than 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't Know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Not in Universe (NIU)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3659" name="B_FSTREATWHO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Person last seen for fistula treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSTREATWHO reports the type of person (health care practitioner or other) whom the woman last saw for fistula treatment.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Heath professional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Doctor/ clinical officer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Nurse/ midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Patient attendant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Nurse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Auxiliary midwife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Health fieldworker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Other person
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Traditional healer/untrained village doctor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Traditional birth attendent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Community health worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3660" name="B_FSTREATSUC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Whether fistula treatment was successful
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FSTREATSUC indicates whether the fistula treatment for the woman was successful in curing the condition. Codes and question wording vary across surveys. See Comparability.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, no leakage at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, but still some leakage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Fistula treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3661" name="B_TONOSMOKE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Smokes nothing
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TONOSMOKE (V463Z) indicates whether the woman does not smoke cigarettes or use any other form of tobacco.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No, smokes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, does not smoke or use tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3662" name="B_TOSMOKE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Smokes cigarettes
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOSMOKE (V463A) indicates whether the woman smokes cigarettes.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3663" name="B_TOCIGDAYNO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of cigarettes in last 24 hours
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who smoke, TOCIGDAYNO (V464) reports the number of cigarettes smoked in the last 24 hours.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3664" name="B_TOPIPE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Smokes pipe
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOPIPE (V463B) indicates whether the woman smokes a pipe.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3665" name="B_TOCHEW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Uses chewing tobacco
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOCHEW (V463C) indicates whether the woman uses chewing tobacco.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3666" name="B_TOSNUFF" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Uses snuff
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOSNUFF (V463E) indicates whether the woman uses snuff, either by mouth or by nose.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3667" name="B_TOUSEOTH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Uses other tobacco
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        TOUSEOTH (V463X) indicates whether the woman uses some other form of tobacco, with the meaning of "other" dependent on the types of tobacco specified in each sample.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Tobacco Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3668" name="B_DELCESRLAST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Last birth caesarean section
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the three to five years before the survey, DELCESRLAST (V401) indicates whether the last-born child was delivered by caesarean section. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes allchildren of the mother to be coded the same way.

Question wording varies slightly across samples. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Maternal delivery care, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3669" name="B_PPAMENNOW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman currently postpartum amenorrheic
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPAMENNOW (V405) reports whether the woman is currently postpartum amenorrheic. This variable is created from the maternity history by checking if menstruation resumed after birth. Women who are currently pregnant (irrespective of whether the woman's period returned after her last birth) and women who did not have births in the last three to five years are automatically reported as not currently amenorrheic, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3670" name="B_PPABSTAINNOW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman currently postpartum abstaining
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PPABSTAINNOW (V406) reports whether the woman is currently postpartum abstaining from sex. This variable is created from the maternity history by checking if the respondent has resumed sexual relations since her last birth. Women who did not have births in the last three to five years are automatically reported as not currently abstaining, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3671" name="B_MATERNITYIDX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of children in maternity history
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MATERNITYIDX (V418) reports the number of entries in the pregnancy and postnatal care history for a female respondent. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, MATERNITYIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, MATERNITYIDX is capped at six.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3672" name="B_HEALTHIDX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of children in immunization/health history
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HEALTHIDX (V418) reports the number of entries (number of children) in the health or immunization history. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, HEALTHIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, HEALTHIDX is capped at six.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3673" name="B_BIOIDX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of children in height and weight table
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOIDX (V419) reports the number of entries (number of children) in the height and weight table. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, BIOIDX is actually limited to the number of columns on the survey form that can be completed. In most cases, BIOIDX is capped at six.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3674" name="B_LASTBIRTHONLY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Whether survey columns are used for last births only
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LASTBIRTHONLY (V468) indicates whether the column(s) on the women's questionnaire relating to pregnancy and postnatal care relate only to last-born children. In the standard questionnaire, some questions are asked about the last-born child only, while in some countries, these questions are asked about all children born in the last three or five years. LASTBIRTHONLY indicates whether the questionnaire followed the standard or was changed to include more children.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          See specific questions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Last birth only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          All births in last 5 years
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General maternal and infant health Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3675" name="B_BOTTLE24H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Mother fed last-born child from bottle with nipple in last day or night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years and whose last-born child is still alive, BOTTLE24H (V415) indicates whether the last-born child drank anything from a bottle with a nipple during the previous day and night. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDBOT_01 (M38_01), which also indicates whether the woman gave her last-born child anything from a bottle with a nipple during the previous day and night.

When children are the unit of analysis, BOTTLE24H describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. If the mother reported that she fed her last-born child with a bottle with a nipple during the previous day or night, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

When children are the unit of analysis, a positive response in BOTTLE24H thus does not necessarily indicate that a particular child was actually fed with a bottle with a nipple during the previous day or night. IPUMS-DHS users should instead employ, when available, the variable BRSFEDBOT (M38) to determine whether the specific child in question actually drank anything from a bottle with a nipple during the previous day and night.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3676" name="B_BFEEDANYNOW" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman currently breastfeeding any child
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BFEEDANYNOW (V404) indicates whether the woman is currently breastfeeding. If no child was born in the last three to five years, the respondent is assumed to not be breastfeeding. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.

This variable has some variation in how current breastfeeding is determined. See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3677" name="B_BFEEDST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        When mother first put last-born child to breast
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women who gave birth in the last three to five years and breastfed their last-born child, BFEEDST (V426) reports the length of time between the birth and when the woman first breastfed her last-born child. Following DHS convention, intervals reported in hours are coded with a "1" in the first digit, and intervals reported in days are coded with a "2" in the first digit.

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDST_01 (M34_1), which also reports the length of time between the birth and when the woman first breastfed her child (for the last birth).

When children are the unit of analysis, BFEEDST describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of hours or days in BFEEDST does not necessarily indicate that a particular child whose record is being analyzed was first breastfed after that amount of time. IPUMS-DHS users should instead employ, when available, the variable BRSFEDST (M34) to determine the length of time between the specific child's birth and when that child was first breastfed.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Immediately
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Within first hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 hour
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          146
        </catValu>
        <labl>
          46 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          147
        </catValu>
        <labl>
          47 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          48 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          49 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          50 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          51 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          52 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          53 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          54 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          55 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          56 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          157
        </catValu>
        <labl>
          57 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          158
        </catValu>
        <labl>
          58 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          159
        </catValu>
        <labl>
          59 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          60 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          61 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          62 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          163
        </catValu>
        <labl>
          63 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          164
        </catValu>
        <labl>
          64 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          165
        </catValu>
        <labl>
          65 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          166
        </catValu>
        <labl>
          66 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          167
        </catValu>
        <labl>
          67 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          168
        </catValu>
        <labl>
          68 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          169
        </catValu>
        <labl>
          69 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          70 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          71 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          72 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          73 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          74 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          75 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          176
        </catValu>
        <labl>
          76 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          177
        </catValu>
        <labl>
          77 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          78 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          179
        </catValu>
        <labl>
          79 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          80 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          81 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          82 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          183
        </catValu>
        <labl>
          83 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          84 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          185
        </catValu>
        <labl>
          85 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          186
        </catValu>
        <labl>
          86 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          187
        </catValu>
        <labl>
          87 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          88 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          189
        </catValu>
        <labl>
          89 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          90 hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Hours: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Within first day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          46 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          47 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          48 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          49 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          50 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          51 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          52 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          53 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          54 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          55 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          256
        </catValu>
        <labl>
          56 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          57 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          58 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          59 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          60 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          61 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          62 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          63 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          64 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          65 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          66 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          67 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          68 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          69 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          70 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          71 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          72 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          73 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          74 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          75 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          76 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          77 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          78 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          79 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          80 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          81 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          82 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          83 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          84 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          85 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          86 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          87 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          88 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          89 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          90 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Days: Number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Breastfeeding and infant feeding Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3678" name="B_DIATRORSHEARD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Heard of ORS for diarrhea treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DIATRORSHEARD (V416) indicates whether the woman ever heard of using an oral rehydration solution (ORS) to treat diarrhea. ORS generally consists of drinking water with the addition of sugar and salt (in a homemade solution) or a commercial mixture of salt, glucose, potassium chloride, and sodium bicarbonate added to clean water.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Used ORS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Heard of ORS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Recognized ORS packet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        ORS treatment Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3679" name="B_WEIGHTFEM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Weight of woman (kilos)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WEIGHTFEM (V437) reports the woman's weight as measured by DHS personnel. There is one implied decimal place in the weight. Dividing WEIGHTFEM by 10 will yield the woman's measured weight in kilograms.
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Out of plausible range
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3680" name="B_HEIGHTFEM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Height of woman in centimeters
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HEIGHTFEM (V438) reports the woman's height as measured by DHS personnel. HEIGHTFEM values are reported in millimeters, to preserve one centimeter decimal place without requiring the use of a decimal point. Dividing HEIGHTFEM by 10 will yield the woman's measured height in centimeters.
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Out of plausible range
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3681" name="B_BIOFHTAPCT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Height for age percentile for respondents to women's survey
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHTAPCT (V439) reports the respondent's height-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value for 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3682" name="B_BIOFHTASDRM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Height for age standard deviations from the reference median (for respondents to female survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHTASDRM (V440) reports the difference between the respondent's height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. BIOFHTASDRM values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing BIOFHTASDRM by 100 will yield the height-for-age Z-score (HAZ) value. 

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height, as measured by DHS personnel.

The complementary DHS variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile within the same reference population used in BIOFHTASDRM. The complementary DHS variable BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status.]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3683" name="B_BIOFHTAPCTRM" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Height for Age percent of reference median for respondents to female survey
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percent of the median height for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.

The related variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3684" name="B_BIOFWTHTRMDHS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percent of reference median (DHS) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTRMDHS (V442) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. For this variable, the reference population was developed by the DHS Program. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTFOG (V443) uses Metropolitan Life or Fogarty reference standards
BIOFWTHTWHO (V444) uses WHO reference standards]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3685" name="B_BIOFWTHTRMFOG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTRMFOG (V443) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the Metropolitan Life or Fogarty reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTDHS (V442) uses a DHS reference standard
BIOFWTHTWHO (V444) uses the WHO reference standard]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3686" name="B_BIOFWTHTRMWHO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percent of reference median (WHO) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99995" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTRMWHO (V444) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the World Health Organization (WHO) reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTDHS (V442) uses a DHS reference standard
BIOFWTHTFOG (V444) uses the Metropolitan Life or Fogarty reference standard]]>
      </txt>
      <catgry>
        <catValu>
          99995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3687" name="B_BIOFWTHTSDRMDHS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Weight for height standard deviations from the reference median (DHS) (respondents to female survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFWTHTSDRM (V444A) reports the difference between the respondent's weight and the median weight of a reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution. This variable uses a DHS reference standard.

An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. BIOFWTHTSDRM values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing BIOFWTHTSDRM by 100 will yield the height-for-age Z-score (HAZ) value. 

The complementary DHS variable BIOFWTHTPCTDHS (V442) reports weight-for-height percentiles within the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status; users are advised to consult anthropometry literature for further discussion.]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3688" name="B_BIOFBMI" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Body Mass Index (BMI) for respondents to the women's survey
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFBMI (V445) reports the female respondent's body mass index (BMI). BMI is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)). Also known as the Quetelet Index, BMI is a measure of acute nutritional status, based on the Fogarty Metropolitan Life tables of ideal weight for height. 

The DHS Guide to Statistics offers the following guidelines for interpreting BMI scores for women age 15-49:

 Severely thin: less than 16.0 
Moderately thin: 16.0 to 16.9 
Mildly thin: 17.0 to 18.4 
Normal: 18.5 to 24.9 
Overweight: 25.0 to 29.9 
Obese: 30.0 or more

The original height and weight values used to calculate BMI are also included in IPUMS-DHS.  WEIGHTFEM (V437) reports the respondent's weight in kilograms, as measured by DHS personnel; HEIGHTFEM (V438) reports the person's length or height in centimeters, as measured by DHS personnel. 

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFROHRER (V446), which reports the respondent's Rohrer's Index. This measure is equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)).]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3689" name="B_BIOFROHRER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Rohrer's index (mass/height cubed) (for respondents to female survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9995" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFROHRER (V446) reports the respondent's Rohrer's Index. Rohrer's Index is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)). Rohrer's Index is a measure of acute nutritional status, and may be used as an alternative to Body Mass Index. 

The original height and weight values used to calculate Rohrer's Index are also included in IPUMS-DHS. WEIGHTFEM (V437) reports the respondent's weight in kilograms as measured by DHS personnel; HEIGHTFEM (V438) reports their length or height in centimeters as measured by DHS personnel.

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFBMI (V445), which reports the respondent's Body Mass Index (BMI), which is equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)).]]>
      </txt>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3690" name="B_BIOFWHYNOTMEAS" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Result of measurement of the respondent
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFWHYNOTMEAS (V447) indicates whether the respondent was measured for height and weight, or, if not, why she was not measured. All "Not measured" responses have a common first digit of "1," while the second digit reveals the reason (e.g., sick, not present, refused).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Incapacitated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Technical problems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          No measurement found in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3691" name="B_BIOFHHAGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman's age in years from household record
      </labl>
      <valrng>
        <range UNITS="REAL" min="12" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFHHAGE (V447A) reports the respondent's age in years, as recorded in the household roster. This age is used to determine eligibility for biometric measurements.
      </txt>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3692" name="B_BIOFHEMOCONSENT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Result of consent statement for anemia testing (respondents for women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFHEMOCONSENT (V452C) indicates whether permission was granted for the respondent's blood to be drawn and tested for hemoglobin level (as an indicator of anemia) or, if not, why not. Interviewers read a statement about hemoglobin testing and requested permission to draw and test the individual's blood for hemoglobin level.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Permission granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Permission refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Parent/other refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Respondent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Not read
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Adult/parent not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Minor not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3693" name="B_BIOFHEMOLEVEL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Hemoglobin level (g/dl) (respondents for women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="992" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHEMOLEVEL (V453) reports the level of hemoglobin in the respondent's blood, in terms of grams per deciliter (g/dl), based on testing of blood drawn by DHS personnel. Hemoglobin levels are tested to determine the presence and severity of anemia. BIOFHEMOLEVEL is a 3-digit variable with 1 implied decimal place.  

For a summary statement of anemia status, based on grouped hemoglobin level results, see BIOFANEMIALVL (V457).]]>
      </txt>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3694" name="B_BIOFHEMOTEST" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Whether hemoglobin level tested (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFHEMOTEST (V455) indicates whether the respondent's hemoglobin level was tested from a blood draw by DHS personnel, or, if not, why their hemoglobin level was not measured. All "Not measured" responses have a common first digit of "1," while the second digit reveals the reason (e.g., not present, refused, technical problem).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Technical problems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          No measurement found in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3695" name="B_BIOFHEMOLEVELALT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Hemoglobin level (g/dl) adjusted for altitude (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="993" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFHEMOLEVELALT (V456) reports the level of hemoglobin in the respondent's blood, in terms of grams per deciliter (g/dl), based on testing of blood drawn by DHS personnel, and adjusted for altitude. Hemoglobin levels are tested to determine the presence and severity of anemia. BIOFHEMOLEVELALT is a 3-digit variable with 1 implied decimal place.  

The USAID publication Adjusting Hemoglobin Values in Program Surveys [URL omitted from DDI.] explains, "At elevations above 1000 m. hemoglobin concentrations increase as an adaptive response to the lower partial pressure of oxygen and reduced oxygen saturation of blood." The report further provides an equation for adjusting hemoglobin values in altitudes at 500-meter intervals, and explains that adjustment is important because "WHO hemoglobin cutoffs for anemia refer to sea-level values."

For a summary statement of anemia status, based on grouped hemoglobin level results, see BIOFANEMIALVL (V457).]]>
      </txt>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3696" name="B_BIOFANEMIALVL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Anemia level (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFANEMIALVL (V457) reports the respondent's level of anemia, from not anemic to severely anemic, based on hemoglobin levels in blood drawn by DHS personnel.

According to the DHS Recode Manuals:
 [Hemoglobin] levels below 7.0 g/dl are considered as severe anemia, levels between 7.1g/dl and 9.9g/dl are considered as moderate anemia, and cases between 10.0 g/dl and 10.9 g/dl are considered as mild anemia for pregnant women and between 10.0 g/dl and 11.9 g/dl for all other adult women.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not anemic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Moderate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Severe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3697" name="B_BIOFUNDER18" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Under age 18 (according to household questionnaire) (respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFUNDER18 (V452A) indicates whether the respondent was under or over age 18 at the time of the interview, according to the household roster.

The information in this variable was used by DHS personnel to determine whether a female household member needed consent from a parent/caretaker before conducting hemoglobin measurements.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Under age 18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Age 18 or older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3698" name="B_BIOFLINENOPARENT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Line number of parent/responsible adult (non-adult respondents to women's survey)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIOFLINENOPARENT (V452B) reports the line number, in the household listing, of the parent or caretaker of a respondent under age 18 whose hemoglobin levels were measured, based on blood drawn by DHS personnel.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3699" name="B_BIOFPREGNANT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Currently pregnant
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIOFPREGNANT (V454) indicates whether the respondent was pregnant at the time of the interview.

A woman's pregnancy status is an important factor in interpreting hemoglobin/anemia level. See the following variables for more information:
BIOFHEMOLEVEL (V453)
BIOFHEMOLEVELALT (V456)
BIOFANEMIALVL (V457)]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No/don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3700" name="B_BEDNETHAVE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Woman's household has bednet for sleeping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETHAVE (V459) indicates whether the household had any bed nets that could be used while sleeping, to keep off mosquitoes and reduce the risk of mosquito-borne illnesses such as malaria. This information was collected via the household questionnaire and copied over to the woman's record.

The complementary variable BEDNETNUM (HML1) reports the number of mosquito nets owned by the household.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3701" name="B_INJRECENTANY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Had any injection in recent months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INJRECENTANY indicates whether the woman received an injection for any reason in the 2 to 12 months preceding the survey.

See Comparability for discussion of variations in the reference period for this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3702" name="B_INJRECENTNO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of injections in recent months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[INJRECENTNO (V477) reports how many injections, for any reason, the woman received in the 2 to 12 months preceding the survey.

See Comparability for discussion of differences in the reference period for this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 injections
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+/daily
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3703" name="B_INJHCWORKER" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of recent injections from healthcare worker
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For women who received any injections in the 6 to 12 months preceding the survey, INJHCWORKER (V478) reports the number of injections that were provided by a healthcare worker (including doctors, nurses, pharmacists, dentists or any other professional health worker).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 injections
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General women's healthcare Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3704" name="B_BHCPERMIT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Getting permission
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCPERMIT (V467B) indicates whether the woman reported "obtaining permission to go to the doctor/seek treatment" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3705" name="B_BHCMONEY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Lack money for treatment
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCMONEY (V467C) indicates whether the woman reported "getting money needed for treatment" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3706" name="B_BHCDISTANCE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Distance to facility
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCDISTANCE (V467D) indicates whether the woman reported "the distance to the health facility" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3707" name="B_BHCTAKETRAN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Having to take transport
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCTAKETRAN (V467E) indicates whether the woman reported "having to take transportation" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3708" name="B_BHCALONE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: Not want to go alone
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCALONE (V467F) indicates whether the woman reported "not wanting to go alone" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3709" name="B_BHCNOFEMDR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: No female provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCNOFEMDR (V467G) indicates whether the woman reported "concern that there may not be a female health provider" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3710" name="B_BHCNOPROV" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: No provider
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCNOPROV (V467H) indicates whether the woman reported "concern that there may not be a health provider" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3711" name="B_BHCNODRUG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Barrier to woman's health care: No drugs available
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BHCNODRUG (V467I) indicates whether the woman reported a "concern that there may not be drugs available" as a barrier to getting medical care for herself.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not a big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          No problem at all
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Small problem only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Is big problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Access to care Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3712" name="B_KIDSEX" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Sex of child
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDSEX (B4) reports the sex of the child.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3713" name="B_KIDALIVE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Child is alive
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDALIVE (B5) reports whether the child was alive or dead at the time of interview.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3714" name="B_KIDBIRTHMO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Child's month of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDBIRTHMO (B1) reports the child's month of birth, according to the Gregorian calendar.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3715" name="B_KIDBIRTHYR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Child's year of birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="1948" max="2018"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDBIRTHYR (B2) reports the child's year of birth, according to the Gregorian calendar.
      </txt>
      <catgry>
        <catValu>
          1948
        </catValu>
        <labl>
          1948
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1949
        </catValu>
        <labl>
          1949
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1950
        </catValu>
        <labl>
          1950
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1951
        </catValu>
        <labl>
          1951
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1952
        </catValu>
        <labl>
          1952
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1953
        </catValu>
        <labl>
          1953
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1954
        </catValu>
        <labl>
          1954
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1955
        </catValu>
        <labl>
          1955
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1956
        </catValu>
        <labl>
          1956
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1957
        </catValu>
        <labl>
          1957
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1958
        </catValu>
        <labl>
          1958
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1959
        </catValu>
        <labl>
          1959
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1960
        </catValu>
        <labl>
          1960
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1961
        </catValu>
        <labl>
          1961
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1962
        </catValu>
        <labl>
          1962
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1963
        </catValu>
        <labl>
          1963
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1964
        </catValu>
        <labl>
          1964
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1965
        </catValu>
        <labl>
          1965
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1966
        </catValu>
        <labl>
          1966
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1967
        </catValu>
        <labl>
          1967
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1968
        </catValu>
        <labl>
          1968
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1969
        </catValu>
        <labl>
          1969
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1970
        </catValu>
        <labl>
          1970
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1971
        </catValu>
        <labl>
          1971
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1972
        </catValu>
        <labl>
          1972
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1973
        </catValu>
        <labl>
          1973
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1974
        </catValu>
        <labl>
          1974
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1975
        </catValu>
        <labl>
          1975
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1976
        </catValu>
        <labl>
          1976
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1977
        </catValu>
        <labl>
          1977
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1978
        </catValu>
        <labl>
          1978
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1979
        </catValu>
        <labl>
          1979
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1980
        </catValu>
        <labl>
          1980
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1981
        </catValu>
        <labl>
          1981
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1982
        </catValu>
        <labl>
          1982
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1983
        </catValu>
        <labl>
          1983
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1984
        </catValu>
        <labl>
          1984
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1985
        </catValu>
        <labl>
          1985
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2018
        </catValu>
        <labl>
          2018
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3716" name="B_KIDCURAGE" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Current age of child in years
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDCURAGE (B8) reports the current age of the child, in years, at the time of the survey.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3717" name="B_KIDDOBCMC" files="F3" dcml="0" intrvl="contin">
      <labl>
        Child's date of birth (CMC)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDDOBCMC (B3) reports the century month code for the date of birth of the child.
      </txt>
      <codInstr>
        KIDDOBCMC (B3) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3718" name="B_KIDBORD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Child's birth order number
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="21"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDBORD (BORD) reports the birth order in which the child was born, from 1 to n, where 1 = the first child born to a mother, and the nth birth is the most recently born child. Up to 20 births could be reported by a woman.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3719" name="B_KIDTWIN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Child is twin or single birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="26"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDTWIN (B0) reports whether the child is a twin (or born in a multiple birth) or is a single birth.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Single birth/not a twin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Twin or multiple
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          1st of multiple births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          2nd of multiple births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          3rd of multiple births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          4th of multiple births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          5th of multiple births
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          6th of multiple births
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3720" name="B_KIDAGEDEATH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Child age at death (non-imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For deceased children, KIDAGEDEATH (B6) reports the age of the child at death in days, months or years. The first digit of the codes indicates the time unit: 1 for days, 2 for months, 3 for years.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Days: Died on day of birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          1 day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          2 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          3 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          4 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          5 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          6 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          7 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          8 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          9 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          10 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          11 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          12 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          13 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          14 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          15 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          16 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          17 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          18 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          19 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          20 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          21 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          22 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          23 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          24 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          25 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          26 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          27 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          128
        </catValu>
        <labl>
          28 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          29 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          30 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          31 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          32 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          33 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          34 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          35 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          36 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          137
        </catValu>
        <labl>
          37 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          138
        </catValu>
        <labl>
          38 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          39 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          40 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          41 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          42 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          43 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          44 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          45 days
        </labl>
      </catgry>
      <catgry>
        <catValu>
          198
        </catValu>
        <labl>
          Days, unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl>
          Days old, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Months old: Month of birth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          2 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          3 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          4 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          5 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          6 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          7 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          8 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          9 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          11 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          13 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          14 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          15 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          16 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          17 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          18 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          19 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          21 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          22 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          23 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          24 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          25 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          26 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          27 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          28 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          29 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          30 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          31 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          32 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          33 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          34 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          35 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          36 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          37 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          38 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          39 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          40 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          41 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          42 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          Months, inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          Months, unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          Months old, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          2 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          3 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          4 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          More than 5 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          Years old, number inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Years old, number unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Years old, number missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3721" name="B_KIDAGEDIEDIMP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Child's age at death in month (including imputed)
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For deceased children, KIDAGEDIEDIMP (B7) reports the age of the child at death in months (including imputed ages).
      </txt>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3722" name="B_KIDAGEDEATHFLAG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Flags for reported age at death of child
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDAGEDEATHFLAG (B13) reports the type of problem, if any, found when editing responses about the child's age at death (in KIDAGEDEATH). A code of 0 indicates no problem with the original response.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No flag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Reported age places death after interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Reported age less than reported duration breastfeeding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Reported age less than age given supplemental food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Reported age less than age first breastfed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Reported age before last vaccination
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Reported age outside expected range for units
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Reported age was imputed, units given
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Reported age was imputed, units not given
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3723" name="B_KIDLIVESWITH" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Child lives with female respondent or with others
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDLIVESWITH (B9) reports the person the child usually lives with (i.e., the child's mother or someone else).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Woman respondent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          With father
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          With other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          With someone else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Child age 15+, lives elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3724" name="B_LINENOKID" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Line number of child in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LINENOKID (B16) reports the number of the line on which the DHS interviewer recorded the child's name, when filling out the household schedule. After asking the woman respondent, "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not listed in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3725" name="B_BIRTHINTPREMO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Length of preceding birth interval, in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years preceding the survey who are not the first-born, or the twin of the first-born, child, BIRTHINTPREMO (B11) indicates the preceding birth interval, or the length of time in months the child was born after the mother's previous birth (i.e., after the child's first older sibling).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
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          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360
        </labl>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          361
        </labl>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          362
        </labl>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          363
        </labl>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          364
        </labl>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          365
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3726" name="B_BIRTHINTPOSTMO" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Length of following birth interval, in months
      </labl>
      <valrng>
        <range UNITS="REAL" min="999" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For children born in the three to five years preceding the survey who are not the last-born, or twin of the last-born, child, BIRTHINTPOSTMO (B12) indicates the succeeding birth interval, or the length of time in months the child was born before the mother's next birth (or before the child's first younger sibling).
      </txt>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3727" name="B_OTHBIRTHININT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Any other live births in interval between birth and previous reported birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OTHBIRTHININT (B15) indicates whether there were any other live births in the interval between this birth and the previously reported birth. The survey form included the question, "Were there any other live births between (NAME OF PREVIOUS BIRTH) and (NAME), including any children who died?" 

For DHS Phase III only, OTHBIRTHININT (B15) is limited to "Births for which the interval between the birth and the previously reported birth was four or more years (B14 =1)," according to the Recode Manuals. For later Phases, the universe is all second- and higher-order births. 

The DHS Recode Manuals include the following explanatory note about this variable:

Variables B14 and B15 are questions used in the interview to try and ascertain if the respondent had omitted any live births while reporting her birth history. The birth history may have been modified during the interviewing process, and the responses may not now correspond to the interval between the birth and the preceding birth recorded in this section. The data have been included to help indicate cases where the respondent may have omitted live births while originally reporting the birth history. The omitted births should be included in this final version of the birth history.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child demography core Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3728" name="B_SOIL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Soil type
      </labl>
      <valrng>
        <range UNITS="REAL" min="-9" max="3004"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOIL reports the predominant soil type within a 5 kilometer circular buffer around each DHS cluster location. The soil attributes reported in SOIL are: soil class (e.g., Leptosols) and soil type within that class (e.g., Lithic Leptosols). SOIL is available for every IPUMS-DHS sample with GPS data.

There are 118 different soil types in the world. Please see the User Note on Using IPUMS-DHS Contextual Variables: Soil [URL omitted from DDI.] or the list of soils and the 4-digit codes [URL omitted from DDI.] (e.g., 1703) consisting of the 2-digit soil class code followed by the 2-digit soil type code. The User note also describes the data source and methodology used to calculate this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols (Alumic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols (Ferric or Humic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Plinthic Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Vetic Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Haplic (undetermined) Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Histic Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Umbric Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Cutanic Alisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Haplic (undetermined) Alisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Aluandic Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Haplic (undetermined) Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Vitric Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Albic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Ferralic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Haplic (undetermined) Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Haplic (undetermined) Arenosols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Hypoluvic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          Protic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Haplic (undetermined) Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Haplic (undetermined) Calcisols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Luvic Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Petric Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Endogleyic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Ferralic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          707
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Humic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          709
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Leptic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Vertic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Calcic Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Haplic (undetermined) Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Luvic Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Haplic (undetermined) Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Turbic Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Vitric Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <labl>
          Petric Durisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Acric Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols (Rhodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols (Xanthic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1105
        </catValu>
        <labl>
          Umbric Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Arenic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Calcic Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Mollic Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Umbric Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Calcic Gypsisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Haplic (undetermined) Gypsisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1501
        </catValu>
        <labl>
          Calcic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1502
        </catValu>
        <labl>
          Cryic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1503
        </catValu>
        <labl>
          Fibric Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1504
        </catValu>
        <labl>
          Hemic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1505
        </catValu>
        <labl>
          Sapric Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1601
        </catValu>
        <labl>
          Calcic Kastanozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1602
        </catValu>
        <labl>
          Haplic (undetermined) Kastanozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Haplic (undetermined) Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Haplic (undetermined) Leptosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          Lithic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          Mollic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1705
        </catValu>
        <labl>
          Rendzic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols (Ferric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Albic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Calcic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Gleyic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols (Ferric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          Leptic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          Stagnic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1909
        </catValu>
        <labl>
          Vertic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Alic Nitisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          Haplic (undetermined) Nitisols (Rhodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Haplic (undetermined) Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Leptic Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Luvic Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Endogleyic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Haplic (undetermined) Planosols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Haplic (undetermined) Planosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Luvic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Solodic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Acric Plinthosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Lixic Plinthosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Gleyic Podzols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Haplic (undetermined) Podzols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Aric Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Calcaric Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Leptic Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2601
        </catValu>
        <labl>
          Gypsic Solonchaks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2602
        </catValu>
        <labl>
          Haplic (undetermined) Solonchaks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2603
        </catValu>
        <labl>
          Haplic (undetermined) Solonchaks (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2701
        </catValu>
        <labl>
          Calcic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2702
        </catValu>
        <labl>
          Gleyic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2703
        </catValu>
        <labl>
          Haplic (undetermined) Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2704
        </catValu>
        <labl>
          Mollic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Luvic Stagnosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Haplic (undetermined) Umbrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Leptic Umbrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3001
        </catValu>
        <labl>
          Calcic Vertisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3002
        </catValu>
        <labl>
          Haplic (undetermined) Vertisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3003
        </catValu>
        <labl>
          Haplic (undetermined) Vertisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3004
        </catValu>
        <labl>
          Mollic Vertisols
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3729" name="B_ECOREGION" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Ecoregion of household
      </labl>
      <valrng>
        <range UNITS="REAL" min="-9999" max="81333"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ECOREGION reports the predominant terrestrial ecoregion within a 5 kilometer circular buffer around each DHS cluster location. ECOREGION reports the biogeographic region (e.g., Afrotropic), the habitat type (e.g., tropical and subtropical grasslands, savannas, and shrublands), and the ecoregion (e.g., East Sudanian savanna) that are associated with each cluster location. ECOREGION is available for every IPUMS-DHS sample with GPS data. 

There are 825 terrestrial ecoregions in the world. The 5-digit codes in ECOREGION (e.g., AT0705) include a 1-digit realm code, followed by a 2-digit biome code and a 2-digit ecoregion number.  For the full list of codes and their meaning, see the User Note on Using IPUMS-DHS Contextual Variables: Ecoregions [URL omitted from DDI.]. The User Note also describes the data sources and the methodology used to create this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -9999
        </catValu>
        <labl>
          Rock and Ice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          -9998
        </catValu>
        <labl>
          Lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Banda Sea Islands moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Buru rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10106
        </catValu>
        <labl>
          Halmahera rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10123
        </catValu>
        <labl>
          Sulawesi lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10124
        </catValu>
        <labl>
          Sulawesi montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10201
        </catValu>
        <labl>
          Lesser Sundas deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10203
        </catValu>
        <labl>
          Sumba deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10204
        </catValu>
        <labl>
          Timor and Wetar deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30101
        </catValu>
        <labl>
          Albertine Rift montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30102
        </catValu>
        <labl>
          Atlantic Equatorial coastal forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30103
        </catValu>
        <labl>
          Cameroonian Highlands forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30104
        </catValu>
        <labl>
          Central Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30105
        </catValu>
        <labl>
          Comoros forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30106
        </catValu>
        <labl>
          Cross-Niger transition forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30107
        </catValu>
        <labl>
          Cross-Sanaga-Bioko coastal forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30108
        </catValu>
        <labl>
          East African montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30109
        </catValu>
        <labl>
          Eastern Arc forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30110
        </catValu>
        <labl>
          Eastern Congolian swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30111
        </catValu>
        <labl>
          Eastern Guinean forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30112
        </catValu>
        <labl>
          Ethiopian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30113
        </catValu>
        <labl>
          Granitic Seychelles forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30114
        </catValu>
        <labl>
          Guinean montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30115
        </catValu>
        <labl>
          Knysna-Amatole montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30116
        </catValu>
        <labl>
          KwaZulu-Cape coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30117
        </catValu>
        <labl>
          Madagascar lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30118
        </catValu>
        <labl>
          Madagascar subhumid forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30119
        </catValu>
        <labl>
          Maputaland coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30121
        </catValu>
        <labl>
          Mount Cameroon and Bioko montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30122
        </catValu>
        <labl>
          Niger Delta swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30123
        </catValu>
        <labl>
          Nigerian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30124
        </catValu>
        <labl>
          Northeastern Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30125
        </catValu>
        <labl>
          Northern Zanzibar-Inhambane coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30126
        </catValu>
        <labl>
          Northwestern Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30127
        </catValu>
        <labl>
          Sao Tome, Principe and Annobon moist lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30128
        </catValu>
        <labl>
          Southern Zanzibar-Inhambane coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30129
        </catValu>
        <labl>
          Western Congolian swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30130
        </catValu>
        <labl>
          Western Guinean lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30202
        </catValu>
        <labl>
          Madagascar dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30203
        </catValu>
        <labl>
          Zambezian Cryptosepalum dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30701
        </catValu>
        <labl>
          Angolan Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30702
        </catValu>
        <labl>
          Angolan Mopane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30704
        </catValu>
        <labl>
          Central Zambezian Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30705
        </catValu>
        <labl>
          East Sudanian savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30706
        </catValu>
        <labl>
          Eastern Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30707
        </catValu>
        <labl>
          Guinean forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30708
        </catValu>
        <labl>
          Itigi-Sumbu thicket
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30709
        </catValu>
        <labl>
          Kalahari Acacia-Baikiaea woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30710
        </catValu>
        <labl>
          Mandara Plateau mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30711
        </catValu>
        <labl>
          Northern Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30712
        </catValu>
        <labl>
          Northern Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30713
        </catValu>
        <labl>
          Sahelian Acacia savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30714
        </catValu>
        <labl>
          Serengeti volcanic grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30715
        </catValu>
        <labl>
          Somali Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30716
        </catValu>
        <labl>
          Southern Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30717
        </catValu>
        <labl>
          Southern Africa bushveld
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30718
        </catValu>
        <labl>
          Southern Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30719
        </catValu>
        <labl>
          Southern Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30721
        </catValu>
        <labl>
          Victoria Basin forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30722
        </catValu>
        <labl>
          West Sudanian savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30723
        </catValu>
        <labl>
          Western Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30724
        </catValu>
        <labl>
          Western Zambezian grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30725
        </catValu>
        <labl>
          Zambezian and Mopane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30726
        </catValu>
        <labl>
          Zambezian Baikiaea woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30901
        </catValu>
        <labl>
          East African halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30902
        </catValu>
        <labl>
          Etosha Pan halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30903
        </catValu>
        <labl>
          Inner Niger Delta flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30904
        </catValu>
        <labl>
          Lake Chad flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30905
        </catValu>
        <labl>
          Saharan flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30906
        </catValu>
        <labl>
          Zambezian coastal flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30907
        </catValu>
        <labl>
          Zambezian flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30908
        </catValu>
        <labl>
          Zambezian halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31001
        </catValu>
        <labl>
          Angolan montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31002
        </catValu>
        <labl>
          Angolan scarp savanna and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31003
        </catValu>
        <labl>
          Drakensberg alti-montane grasslands and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31004
        </catValu>
        <labl>
          Drakensberg montane grasslands, woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31005
        </catValu>
        <labl>
          East African montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31006
        </catValu>
        <labl>
          Eastern Zimbabwe montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31007
        </catValu>
        <labl>
          Ethiopian montane grasslands and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31008
        </catValu>
        <labl>
          Ethiopian montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31009
        </catValu>
        <labl>
          Highveld grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31010
        </catValu>
        <labl>
          Jos Plateau forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31011
        </catValu>
        <labl>
          Madagascar ericoid thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31012
        </catValu>
        <labl>
          Maputaland-Pondoland bushland and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31013
        </catValu>
        <labl>
          Rwenzori-Virunga montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31014
        </catValu>
        <labl>
          South Malawi montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31015
        </catValu>
        <labl>
          Southern Rift montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31203
        </catValu>
        <labl>
          Montane fynbos and renosterveld
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31301
        </catValu>
        <labl>
          Aldabra Island xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31302
        </catValu>
        <labl>
          Arabian Peninsula coastal fog desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31304
        </catValu>
        <labl>
          Eritrean coastal desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31305
        </catValu>
        <labl>
          Ethiopian xeric grasslands and shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31308
        </catValu>
        <labl>
          Ile Europa and Bassas da India xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31309
        </catValu>
        <labl>
          Kalahari xeric savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31310
        </catValu>
        <labl>
          Kaokoveld desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31311
        </catValu>
        <labl>
          Madagascar spiny thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31312
        </catValu>
        <labl>
          Madagascar succulent woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31313
        </catValu>
        <labl>
          Masai xeric grasslands and shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31314
        </catValu>
        <labl>
          Nama Karoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31315
        </catValu>
        <labl>
          Namib desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31316
        </catValu>
        <labl>
          Namibian savanna woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31319
        </catValu>
        <labl>
          Somali montane xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31320
        </catValu>
        <labl>
          Southwestern Arabian foothills savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31322
        </catValu>
        <labl>
          Succulent Karoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31401
        </catValu>
        <labl>
          Central African mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31402
        </catValu>
        <labl>
          East African mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31403
        </catValu>
        <labl>
          Guinean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31404
        </catValu>
        <labl>
          Madagascar mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31405
        </catValu>
        <labl>
          Southern Africa mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40102
        </catValu>
        <labl>
          Borneo lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40103
        </catValu>
        <labl>
          Borneo montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40104
        </catValu>
        <labl>
          Borneo peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40105
        </catValu>
        <labl>
          Brahmaputra Valley semi-evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40106
        </catValu>
        <labl>
          Cardamom Mountains rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40107
        </catValu>
        <labl>
          Chao Phraya freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40108
        </catValu>
        <labl>
          Chao Phraya lowland moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40109
        </catValu>
        <labl>
          Chin Hills-Arakan Yoma montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40111
        </catValu>
        <labl>
          Eastern highlands moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40112
        </catValu>
        <labl>
          Eastern Java-Bali montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40113
        </catValu>
        <labl>
          Eastern Java-Bali rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40114
        </catValu>
        <labl>
          Greater Negros-Panay rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40115
        </catValu>
        <labl>
          Himalayan subtropical broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40117
        </catValu>
        <labl>
          Irrawaddy moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40120
        </catValu>
        <labl>
          Lower Gangetic Plains moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40121
        </catValu>
        <labl>
          Luang Prabang montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40122
        </catValu>
        <labl>
          Luzon montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40123
        </catValu>
        <labl>
          Luzon rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40125
        </catValu>
        <labl>
          Maldives-Lakshadweep-Chagos Archipelago tropical moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40126
        </catValu>
        <labl>
          Meghalaya subtropical forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40127
        </catValu>
        <labl>
          Mentawai Islands rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40128
        </catValu>
        <labl>
          Mindanao montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40129
        </catValu>
        <labl>
          Mindanao-Eastern Visayas rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40130
        </catValu>
        <labl>
          Mindoro rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40131
        </catValu>
        <labl>
          Mizoram-Manipur-Kachin rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40132
        </catValu>
        <labl>
          Myanmar coastal rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40136
        </catValu>
        <labl>
          Northern Annamites rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40138
        </catValu>
        <labl>
          Northern Khorat Plateau moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40139
        </catValu>
        <labl>
          Northern Thailand-Laos moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40141
        </catValu>
        <labl>
          Northern Vietnam lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40142
        </catValu>
        <labl>
          Orissa semi-evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40143
        </catValu>
        <labl>
          Palawan rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40144
        </catValu>
        <labl>
          Peninsular Malaysian montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40145
        </catValu>
        <labl>
          Peninsular Malaysian peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40146
        </catValu>
        <labl>
          Peninsular Malaysian rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40148
        </catValu>
        <labl>
          South China Sea Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40149
        </catValu>
        <labl>
          South China-Vietnam subtropical evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40152
        </catValu>
        <labl>
          Southern Annamites montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40153
        </catValu>
        <labl>
          Southwest Borneo freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40156
        </catValu>
        <labl>
          Sulu Archipelago rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40157
        </catValu>
        <labl>
          Sumatran freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40158
        </catValu>
        <labl>
          Sumatran lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40159
        </catValu>
        <labl>
          Sumatran montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40160
        </catValu>
        <labl>
          Sumatran peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40161
        </catValu>
        <labl>
          Sundaland heath forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40162
        </catValu>
        <labl>
          Sundarbans freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40163
        </catValu>
        <labl>
          Tenasserim-South Thailand semi-evergreen rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40164
        </catValu>
        <labl>
          Tonle Sap freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40165
        </catValu>
        <labl>
          Tonle Sap-Mekong peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40166
        </catValu>
        <labl>
          Upper Gangetic Plains moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40167
        </catValu>
        <labl>
          Western Java montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40168
        </catValu>
        <labl>
          Western Java rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40202
        </catValu>
        <labl>
          Central Indochina dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40203
        </catValu>
        <labl>
          Chhota-Nagpur dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40205
        </catValu>
        <labl>
          Irrawaddy dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40206
        </catValu>
        <labl>
          Khathiar-Gir dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40207
        </catValu>
        <labl>
          Narmada Valley dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40210
        </catValu>
        <labl>
          Southeastern Indochina dry evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40211
        </catValu>
        <labl>
          Southern Vietnam lowland dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40301
        </catValu>
        <labl>
          Himalayan subtropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40302
        </catValu>
        <labl>
          Luzon tropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40303
        </catValu>
        <labl>
          Northeast India-Myanmar pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40304
        </catValu>
        <labl>
          Sumatran tropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40401
        </catValu>
        <labl>
          Eastern Himalayan broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40403
        </catValu>
        <labl>
          Western Himalayan broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40501
        </catValu>
        <labl>
          Eastern Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40502
        </catValu>
        <labl>
          Western Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40701
        </catValu>
        <labl>
          Terai-Duar savanna and grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40901
        </catValu>
        <labl>
          Rann of Kutch seasonal salt marsh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41001
        </catValu>
        <labl>
          Kinabalu montane alpine meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41302
        </catValu>
        <labl>
          Indus Valley desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41303
        </catValu>
        <labl>
          Northwestern thorn scrub forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41304
        </catValu>
        <labl>
          Thar desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41402
        </catValu>
        <labl>
          Indochina mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41403
        </catValu>
        <labl>
          Indus River Delta-Arabian Sea mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41404
        </catValu>
        <labl>
          Myanmar Coast mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41405
        </catValu>
        <labl>
          Sunda Shelf mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41406
        </catValu>
        <labl>
          Sundarbans mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60105
        </catValu>
        <labl>
          Bolivian Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60107
        </catValu>
        <labl>
          Caqueta moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60108
        </catValu>
        <labl>
          Catatumbo moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60109
        </catValu>
        <labl>
          Cauca Valley montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60110
        </catValu>
        <labl>
          Cayos Miskitos-San Andrés and Providencia moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60111
        </catValu>
        <labl>
          Central American Atlantic moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60112
        </catValu>
        <labl>
          Central American montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60113
        </catValu>
        <labl>
          Chiapas montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60115
        </catValu>
        <labl>
          Chocó-Darién moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60117
        </catValu>
        <labl>
          Cordillera La Costa montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60118
        </catValu>
        <labl>
          Cordillera Oriental montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60119
        </catValu>
        <labl>
          Costa Rican seasonal moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60120
        </catValu>
        <labl>
          Cuban moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60121
        </catValu>
        <labl>
          Eastern Cordillera real montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60122
        </catValu>
        <labl>
          Eastern Panamanian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60124
        </catValu>
        <labl>
          Guianan Highlands moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60125
        </catValu>
        <labl>
          Guianan moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60127
        </catValu>
        <labl>
          Hispaniolan moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60128
        </catValu>
        <labl>
          Iquitos varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60129
        </catValu>
        <labl>
          Isthmian-Atlantic moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60130
        </catValu>
        <labl>
          Isthmian-Pacific moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60132
        </catValu>
        <labl>
          Japurá-Solimoes-Negro moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60133
        </catValu>
        <labl>
          Juruá-Purus moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60135
        </catValu>
        <labl>
          Madeira-Tapajós moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60136
        </catValu>
        <labl>
          Magdalena Valley montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60137
        </catValu>
        <labl>
          Magdalena-Urabá moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60141
        </catValu>
        <labl>
          Monte Alegre varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60142
        </catValu>
        <labl>
          Napo moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60143
        </catValu>
        <labl>
          Negro-Branco moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60145
        </catValu>
        <labl>
          Northwestern Andean montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60147
        </catValu>
        <labl>
          Orinoco Delta swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60149
        </catValu>
        <labl>
          Guianan freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60153
        </catValu>
        <labl>
          Peruvian Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60154
        </catValu>
        <labl>
          Petén-Veracruz moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60156
        </catValu>
        <labl>
          Purus varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60157
        </catValu>
        <labl>
          Purus-Madeira moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60158
        </catValu>
        <labl>
          Rio Negro campinarana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60159
        </catValu>
        <labl>
          Santa Marta montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60162
        </catValu>
        <labl>
          Sierra Madre de Chiapas moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60163
        </catValu>
        <labl>
          Solimões-Japurá moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60165
        </catValu>
        <labl>
          Southern Andean Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60166
        </catValu>
        <labl>
          Southwest Amazon moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60167
        </catValu>
        <labl>
          Talamancan montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60169
        </catValu>
        <labl>
          Pantepui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60171
        </catValu>
        <labl>
          Trinidad and Tobago moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60173
        </catValu>
        <labl>
          Uatuma-Trombetas moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60174
        </catValu>
        <labl>
          Ucayali moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60175
        </catValu>
        <labl>
          Venezuelan Andes montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60178
        </catValu>
        <labl>
          Western Ecuador moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60181
        </catValu>
        <labl>
          Yucatán moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60182
        </catValu>
        <labl>
          Guianan piedmont and lowland moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60201
        </catValu>
        <labl>
          Apure-Villavicencio dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60206
        </catValu>
        <labl>
          Bolivian montane dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60207
        </catValu>
        <labl>
          Cauca Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60209
        </catValu>
        <labl>
          Central American dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60210
        </catValu>
        <labl>
          Dry Chaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60211
        </catValu>
        <labl>
          Chiapas Depression dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60212
        </catValu>
        <labl>
          Chiquitano dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60213
        </catValu>
        <labl>
          Cuban dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60214
        </catValu>
        <labl>
          Ecuadorian dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60215
        </catValu>
        <labl>
          Hispaniolan dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60219
        </catValu>
        <labl>
          Lara-Falcón dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60220
        </catValu>
        <labl>
          Lesser Antillean dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60221
        </catValu>
        <labl>
          Magdalena Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60222
        </catValu>
        <labl>
          Maracaibo dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60223
        </catValu>
        <labl>
          Marañón dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60224
        </catValu>
        <labl>
          Panamanian dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60225
        </catValu>
        <labl>
          Patía Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60226
        </catValu>
        <labl>
          Puerto Rican dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60229
        </catValu>
        <labl>
          Sinú Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60230
        </catValu>
        <labl>
          Southern Pacific dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60232
        </catValu>
        <labl>
          Tumbes-Piura dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60301
        </catValu>
        <labl>
          Bahamian pine mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60302
        </catValu>
        <labl>
          Belizian pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60303
        </catValu>
        <labl>
          Central American pine-oak forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60304
        </catValu>
        <labl>
          Cuban pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60305
        </catValu>
        <labl>
          Hispaniolan pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60306
        </catValu>
        <labl>
          Miskito pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60702
        </catValu>
        <labl>
          Beni savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60704
        </catValu>
        <labl>
          Cerrado
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60707
        </catValu>
        <labl>
          Guianan savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60709
        </catValu>
        <labl>
          Llanos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60903
        </catValu>
        <labl>
          Enriquillo wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60905
        </catValu>
        <labl>
          Guayaquil flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60906
        </catValu>
        <labl>
          Orinoco wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60907
        </catValu>
        <labl>
          Pantanal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61001
        </catValu>
        <labl>
          Central Andean dry puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61002
        </catValu>
        <labl>
          Central Andean puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61003
        </catValu>
        <labl>
          Central Andean wet puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61004
        </catValu>
        <labl>
          Cordillera Central páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61005
        </catValu>
        <labl>
          Cordillera de Merida páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61006
        </catValu>
        <labl>
          Northern Andean páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61007
        </catValu>
        <labl>
          Santa Marta páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61010
        </catValu>
        <labl>
          High Monte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61303
        </catValu>
        <labl>
          Atacama desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61305
        </catValu>
        <labl>
          Caribbean shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61306
        </catValu>
        <labl>
          Cuban cactus scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61308
        </catValu>
        <labl>
          Guajira-Barranquilla xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61309
        </catValu>
        <labl>
          La Costa xeric shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61312
        </catValu>
        <labl>
          Motagua Valley thornscrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61313
        </catValu>
        <labl>
          Paraguana xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61315
        </catValu>
        <labl>
          Sechura desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61401
        </catValu>
        <labl>
          Amazon-Orinoco-Southern Caribbean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61402
        </catValu>
        <labl>
          Bahamian-Antillean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61403
        </catValu>
        <labl>
          Mesoamerican Gulf-Caribbean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61405
        </catValu>
        <labl>
          South American Pacific mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61407
        </catValu>
        <labl>
          Southern Mesoamerican Pacific mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80404
        </catValu>
        <labl>
          Balkan mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80407
        </catValu>
        <labl>
          Caspian Hyrcanian mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80408
        </catValu>
        <labl>
          Caucasus mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80412
        </catValu>
        <labl>
          Central European mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80418
        </catValu>
        <labl>
          Dinaric Mountains mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80419
        </catValu>
        <labl>
          East European forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80422
        </catValu>
        <labl>
          Euxine-Colchic broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80431
        </catValu>
        <labl>
          Pannonian mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80435
        </catValu>
        <labl>
          Rodope montane mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80446
        </catValu>
        <labl>
          Zagros Mountains forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80504
        </catValu>
        <labl>
          Carpathian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80506
        </catValu>
        <labl>
          East Afghan montane conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80507
        </catValu>
        <labl>
          Elburz Range forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80513
        </catValu>
        <labl>
          Mediterranean conifer and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80514
        </catValu>
        <labl>
          Northeastern Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80515
        </catValu>
        <labl>
          Northern Anatolian conifer and deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80521
        </catValu>
        <labl>
          Tian Shan montane conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80801
        </catValu>
        <labl>
          Alai-Western Tian Shan steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80805
        </catValu>
        <labl>
          Eastern Anatolian montane steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80808
        </catValu>
        <labl>
          Gissaro-Alai open woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80812
        </catValu>
        <labl>
          Middle East steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80814
        </catValu>
        <labl>
          Pontic steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80818
        </catValu>
        <labl>
          Tian Shan foothill arid steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80904
        </catValu>
        <labl>
          Nile Delta flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80905
        </catValu>
        <labl>
          Saharan halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81002
        </catValu>
        <labl>
          Central Tibetan Plateau alpine steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81003
        </catValu>
        <labl>
          Eastern Himalayan alpine shrub and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81004
        </catValu>
        <labl>
          Ghorat-Hazarajat alpine meadow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81005
        </catValu>
        <labl>
          Hindu Kush alpine meadow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81006
        </catValu>
        <labl>
          Karakoram-West Tibetan Plateau alpine steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81009
        </catValu>
        <labl>
          Kuh Rud and Eastern Iran montane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81010
        </catValu>
        <labl>
          Mediterranean High Atlas juniper steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81011
        </catValu>
        <labl>
          North Tibetan Plateau-Kunlun Mountains alpine desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81012
        </catValu>
        <labl>
          Northwestern Himalayan alpine shrub and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81014
        </catValu>
        <labl>
          Pamir alpine desert and tundra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81018
        </catValu>
        <labl>
          Sulaiman Range alpine meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81019
        </catValu>
        <labl>
          Tian Shan montane steppe and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81020
        </catValu>
        <labl>
          Tibetan Plateau alpine shrublands and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81021
        </catValu>
        <labl>
          Western Himalayan alpine shrub and Meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81022
        </catValu>
        <labl>
          Yarlung Tsangpo arid steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81201
        </catValu>
        <labl>
          Aegean and Western Turkey sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81203
        </catValu>
        <labl>
          Canary Islands dry woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81207
        </catValu>
        <labl>
          Eastern Mediterranean conifer-sclerophyllous-broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81208
        </catValu>
        <labl>
          Iberian conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81209
        </catValu>
        <labl>
          Iberian sclerophyllous and semi-deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81210
        </catValu>
        <labl>
          Illyrian deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81212
        </catValu>
        <labl>
          Mediterranean acacia-argania dry woodlands and succulent thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81213
        </catValu>
        <labl>
          Mediterranean dry woodlands and steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81214
        </catValu>
        <labl>
          Mediterranean woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81217
        </catValu>
        <labl>
          Pindus Mountains mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81219
        </catValu>
        <labl>
          Southeastern Iberian shrubs and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81220
        </catValu>
        <labl>
          Southern Anatolian montane conifer and deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81221
        </catValu>
        <labl>
          Southwest Iberian Mediterranean sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81222
        </catValu>
        <labl>
          Tyrrhenian-Adriatic Sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81301
        </catValu>
        <labl>
          Afghan Mountains semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81303
        </catValu>
        <labl>
          Arabian Desert and East Sahero-Arabian xeric shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81304
        </catValu>
        <labl>
          Atlantic coastal desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81305
        </catValu>
        <labl>
          Azerbaijan shrub desert and steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81306
        </catValu>
        <labl>
          Badghyz and Karabil semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81307
        </catValu>
        <labl>
          Baluchistan xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81309
        </catValu>
        <labl>
          Central Afghan Mountains xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81310
        </catValu>
        <labl>
          Central Asian northern desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81311
        </catValu>
        <labl>
          Central Asian riparian woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81312
        </catValu>
        <labl>
          Central Asian southern desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81318
        </catValu>
        <labl>
          Kazakh semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81320
        </catValu>
        <labl>
          Mesopotamian shrub desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81321
        </catValu>
        <labl>
          North Saharan steppe and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81322
        </catValu>
        <labl>
          Paropamisus xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81325
        </catValu>
        <labl>
          Red Sea Nubo-Sindian tropical desert and semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81326
        </catValu>
        <labl>
          Registan-North Pakistan sandy desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81327
        </catValu>
        <labl>
          Sahara desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81328
        </catValu>
        <labl>
          South Iran Nubo-Sindian desert and semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81329
        </catValu>
        <labl>
          South Saharan steppe and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81330
        </catValu>
        <labl>
          Taklimakan desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81332
        </catValu>
        <labl>
          West Saharan montane xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81333
        </catValu>
        <labl>
          Red Sea coastal desert
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3730" name="B_LIVELIHOOD" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Livelihood zone of household
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="834999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LIVELIHOOD reports the predominant livelihood zone within a 5 kilometer circular buffer around each DHS cluster location. Livelihood can be used as an indicator for sources of food and/or income and a measure for people's vulnerability to hazards, such as flood, drought, food crisis, market disruption, or conflicts. LIVELIHOOD is available for a subset of the DHS samples with GPS cluster information. 
 
Livelihood zones are country-specific; therefore, codes and labels for LIVELIHOOD vary across   countries. The 6-character codes (e.g., 854001) include the 3-digit country code (e.g., 854), followed by the 3-digit numeric livelihood (e.g., West cotton and cereals) code. Please see the User Note on Using IPUMS-DHS Contextual Variables: Livelihood Zones [URL omitted from DDI.] or the list of livelihood zones' labels and codes, categorized by country [URL omitted from DDI.]. The User Note also discusses the data sources and methodology used to calculate this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Coastal fishing, horticulture, and non-farm income
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Transitional banana and pineapple farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Southern livestock, millet, and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Sub humid livestock and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Mid-eastern cassava and savannah forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Central highlands potato and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          Central highlands maize and beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Transitional lowland maize, cassava, and beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Tropical forest, cassava, banana, and coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Southeast cassava, peanuts, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Northeast hunting and food crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1403
        </catValu>
        <labl>
          Northern sorghum and millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1404
        </catValu>
        <labl>
          East central mining, cassava, and peanuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1405
        </catValu>
        <labl>
          Southern coffee, cassava, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1406
        </catValu>
        <labl>
          Central cassava, peanuts, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1407
        </catValu>
        <labl>
          Central cotton, cassava, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1408
        </catValu>
        <labl>
          Northern cotton, cassava, and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1409
        </catValu>
        <labl>
          Western cassava, maize, and peanuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Copperbelt and Marginal Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Savannah Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Savannah Surplus Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1804
        </catValu>
        <labl>
          Kamalondo Depression
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1805
        </catValu>
        <labl>
          Southern Tanganyika-Mwero Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1806
        </catValu>
        <labl>
          Maniema Savannah Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1807
        </catValu>
        <labl>
          High Food Production and Surplus Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1808
        </catValu>
        <labl>
          Northern Tanganyika Midland Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1809
        </catValu>
        <labl>
          Mountain Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Abay Beshilo River Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Abay Gorge Sesame, Maize &amp; Honey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Abay Tekeze Watershed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Abe Dongoro-Diga-Sasiga Coffee &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2315
        </catValu>
        <labl>
          Abijata Shala Jido Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2316
        </catValu>
        <labl>
          Adaba Dodola Community Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2317
        </catValu>
        <labl>
          Addis Ababa City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2318
        </catValu>
        <labl>
          Adiyabo Lowland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2319
        </catValu>
        <labl>
          Afder Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Savannah forest and market-oriented cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Savannah forest and subsistence cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Fishing, cassava, and cross-border trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Coastal livestock ranching
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3241
        </catValu>
        <labl>
          Coastal: Rice, Fishing, Palm oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Piedmont: Rice, Groundnut, Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3243
        </catValu>
        <labl>
          Central plateau: Horticulture, Fonio, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3244
        </catValu>
        <labl>
          Mountain: Livestock, Fonio, Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3245
        </catValu>
        <labl>
          Mountain : Rice, Livestock, Fonio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3246
        </catValu>
        <labl>
          Northern plateau: Rice, Groundnut, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3247
        </catValu>
        <labl>
          Savannah with shrubs: Rice, Gold mining, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3248
        </catValu>
        <labl>
          Northeast: Maize, Gold mining, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3249
        </catValu>
        <labl>
          Wooded savannah: Rice, Manioc, Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Dry Coastal Maize and Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          North Tubers and Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Central Plateau Maize and Tubers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3324
        </catValu>
        <labl>
          Rice Plains of the Artibonite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3325
        </catValu>
        <labl>
          Western Banana Plains of Arcahaie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3326
        </catValu>
        <labl>
          West Gardening and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3327
        </catValu>
        <labl>
          South Beans, Bananas, and Petty Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3328
        </catValu>
        <labl>
          Southwestern Coast Maize, Manioc, and Bush Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3329
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Garifuna Littoral and Bay Islands Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Atlantic Littoral Palm Oil Production
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Labor Income from Maquilas, Banana, and Sugarcane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Mosquitia Hunting and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3405
        </catValu>
        <labl>
          Mountainous Coffee and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          Gulf of Fonseca Fishing and Salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3407
        </catValu>
        <labl>
          Subsistence Grains and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          Labor Income from Melons and Shrimp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3409
        </catValu>
        <labl>
          Grains and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4041
        </catValu>
        <labl>
          Northwestern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4042
        </catValu>
        <labl>
          Turkwell Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <labl>
          Northwestern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4044
        </catValu>
        <labl>
          Lake Turkana Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4045
        </catValu>
        <labl>
          Northern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4046
        </catValu>
        <labl>
          Marsabit Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4047
        </catValu>
        <labl>
          Northeastern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4048
        </catValu>
        <labl>
          Mandera Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4049
        </catValu>
        <labl>
          Northeastern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4261
        </catValu>
        <labl>
          Northern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4262
        </catValu>
        <labl>
          Southern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4263
        </catValu>
        <labl>
          Foothills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4264
        </catValu>
        <labl>
          Mountains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4265
        </catValu>
        <labl>
          Senqu River Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4301
        </catValu>
        <labl>
          North-East Rice Intercropped with Cowpeas, Groundnuts, and Palm Oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4302
        </catValu>
        <labl>
          North and Central Rice with Cassava and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4303
        </catValu>
        <labl>
          South-East Rice with Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4304
        </catValu>
        <labl>
          Coastal Plain Cassava with Rice and River Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4305
        </catValu>
        <labl>
          Coastal Fishing and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4306
        </catValu>
        <labl>
          Rice Intercropped and Forest Hunting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4307
        </catValu>
        <labl>
          Plantain Cash Crop with Food Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4308
        </catValu>
        <labl>
          Rubber and Charcoal with Food Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4309
        </catValu>
        <labl>
          Monrovia Peri-Urban: Petty Tade, Market Gardening, &amp; Casual Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Extreme north: sugar cane, fishing, tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          North: vanilla, clove, coconut tree
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Sofia River basin: tobacco, onion, fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Northern highland: rice, zebu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4505
        </catValu>
        <labl>
          Betsiboka Delta: rice, fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4506
        </catValu>
        <labl>
          Upper Betsiboka: gold mining, rice, cows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4507
        </catValu>
        <labl>
          Aloatra: rice, fishing, livestock rearing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4508
        </catValu>
        <labl>
          Toamasina: cloves, coffee, trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4509
        </catValu>
        <labl>
          West: rice, fishing, gathering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4541
        </catValu>
        <labl>
          Central Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4542
        </catValu>
        <labl>
          Chitipa Millet &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4543
        </catValu>
        <labl>
          Kasungu Lilongwe Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4544
        </catValu>
        <labl>
          Lake Chilwa - Phalombe Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4545
        </catValu>
        <labl>
          Lower Shire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4546
        </catValu>
        <labl>
          Middle Shire Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4547
        </catValu>
        <labl>
          Misuku Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4548
        </catValu>
        <labl>
          Mzimba Self Sufficient
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4549
        </catValu>
        <labl>
          Nkhata Bay Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4661
        </catValu>
        <labl>
          Nomadism and Trans-Saharan Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4662
        </catValu>
        <labl>
          Northern Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4663
        </catValu>
        <labl>
          Niger Loop Rice and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4664
        </catValu>
        <labl>
          Central Livestock, Millet, and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4665
        </catValu>
        <labl>
          Dogon Plateau Millet and Shallots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4666
        </catValu>
        <labl>
          Niger Delta Rice, Cattle, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4667
        </catValu>
        <labl>
          Office du NigerRice and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4668
        </catValu>
        <labl>
          Northwestern Sorghum, Remittances, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4669
        </catValu>
        <labl>
          Central Sorghum and Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5081
        </catValu>
        <labl>
          Lakeshore Basic Staples and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5082
        </catValu>
        <labl>
          Northern Highland Forest and Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5083
        </catValu>
        <labl>
          Northwestern Tobacco and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5084
        </catValu>
        <labl>
          Northern Cassava, Maize, and Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5085
        </catValu>
        <labl>
          Northern Highland with Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5086
        </catValu>
        <labl>
          Northeastern Highland Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5087
        </catValu>
        <labl>
          Northeastern Cassava, Cashew, and Coconut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5088
        </catValu>
        <labl>
          North-Central Coastal Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5089
        </catValu>
        <labl>
          Plains with Cassava, Rice, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5621
        </catValu>
        <labl>
          North-east Oases: Dates, Salt and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5622
        </catValu>
        <labl>
          Massif Irrigated Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5623
        </catValu>
        <labl>
          Transhumant and Nomad Pastoralism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5624
        </catValu>
        <labl>
          Agropastoral Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5625
        </catValu>
        <labl>
          Rainfed Millet and Sorghum Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5626
        </catValu>
        <labl>
          Cropping and Herding with High Work Outmigration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5627
        </catValu>
        <labl>
          Southern Irrigated Cash Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5628
        </catValu>
        <labl>
          Southwestern Cereals with Fan-Palm Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5629
        </catValu>
        <labl>
          Niger River Irrigated Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5661
        </catValu>
        <labl>
          Coastal Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5662
        </catValu>
        <labl>
          Southern Cocoa, Palm Oil, and Kola nut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5663
        </catValu>
        <labl>
          South-Central Yam, Cassava, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5664
        </catValu>
        <labl>
          Southeast Rice, Salt, and Granite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5665
        </catValu>
        <labl>
          Niger and Benue River Floodplain Rice and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5666
        </catValu>
        <labl>
          Central Plain Yam and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5667
        </catValu>
        <labl>
          Mambilla Plateau Cattle, Cocoa, and Tea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5668
        </catValu>
        <labl>
          Central Highland Maize and Soybean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5669
        </catValu>
        <labl>
          Northeastern Highland Maize, Cocoyam, Potatoes, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6461
        </catValu>
        <labl>
          Lake Kivu Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6462
        </catValu>
        <labl>
          Western Congo-Nile Crest Tea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6463
        </catValu>
        <labl>
          Northwestern Volcanic Irish Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6464
        </catValu>
        <labl>
          Eastern Congo-Nile Highland Subsistence Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6465
        </catValu>
        <labl>
          Central Plateau Cassava and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6466
        </catValu>
        <labl>
          Northern Highland Beans and Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6467
        </catValu>
        <labl>
          Central-Northern Highland Irish Potato, Beans and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6468
        </catValu>
        <labl>
          Bugesera Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6469
        </catValu>
        <labl>
          Eastern Plateau Mixed Agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6861
        </catValu>
        <labl>
          The Niayes Gardening and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6862
        </catValu>
        <labl>
          Delta Rice, Horticulture, and Agricultural Labor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6863
        </catValu>
        <labl>
          Valley Rice and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6864
        </catValu>
        <labl>
          Dieri Millet and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6865
        </catValu>
        <labl>
          Rainfed Cowpea and Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6866
        </catValu>
        <labl>
          Sylvopatoral Livestock and Gathering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6867
        </catValu>
        <labl>
          Small Coast Fishing and Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6868
        </catValu>
        <labl>
          Rainfed Groundnut and Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6869
        </catValu>
        <labl>
          Agropastoral Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6941
        </catValu>
        <labl>
          Tonkolili Food Crops and Gold
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6942
        </catValu>
        <labl>
          Bombali Food Crops, Peppers, Tobacco and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6943
        </catValu>
        <labl>
          Western Rice, Root Crops, Cereals and Trade Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6944
        </catValu>
        <labl>
          Coastal Food Crops and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6945
        </catValu>
        <labl>
          Kailahun-Kenema-Kono Cash Crops, Food Crops and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6946
        </catValu>
        <labl>
          Kono-Kenema-Bo Rice, Tree Crops and Timber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6947
        </catValu>
        <labl>
          Koinadugu Livestock, Food Crops and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6948
        </catValu>
        <labl>
          Follosaba Dembelia and Wara Wara Yagala Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6949
        </catValu>
        <labl>
          Freetown Peri-Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Agrofisheries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Beitbridge South Western Lowveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Bikita-Zaka Highlands Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Central and Northern Semi Intensive Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Cereal and High Cotton Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Cereal and Low Cotton Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7167
        </catValu>
        <labl>
          Eastern Highlands Commercial Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7168
        </catValu>
        <labl>
          Eastern Highlands Prime Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7169
        </catValu>
        <labl>
          Eastern Kalahari Sandveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7621
        </catValu>
        <labl>
          Eastern Pamir Plateau Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7622
        </catValu>
        <labl>
          Western Pamir Valley Migratory Work Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7623
        </catValu>
        <labl>
          Western Pamir Irrigated Agriculture Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7624
        </catValu>
        <labl>
          Rasht Valley Irrigated Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7625
        </catValu>
        <labl>
          Khatlon Mountain Agro-Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7626
        </catValu>
        <labl>
          Southern Khatlon Cotton, Vegetable and Wheat Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7627
        </catValu>
        <labl>
          Khatlon Rainfed Wheat and Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7628
        </catValu>
        <labl>
          Central and Eastern Tajikistan Agro-Industrial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7629
        </catValu>
        <labl>
          Eastern and Central Zeravshan Valley Agro-Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          North Eastern Karamoja Highland Apiculture and Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Western Karamoja Mixed Crop Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8003
        </catValu>
        <labl>
          South Eastern Karamoja Cattle Maize Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8004
        </catValu>
        <labl>
          Karamoja Mountain and Foot Hills Maize and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8005
        </catValu>
        <labl>
          Central Karamoja Sorghum and Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8006
        </catValu>
        <labl>
          NE Sorghum Simsim Maize Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8007
        </catValu>
        <labl>
          North Kitgum Gulu Amuru West Nile Simsim Sorghum Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8008
        </catValu>
        <labl>
          Palabek Tobacco Simsim Sorghum and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8009
        </catValu>
        <labl>
          South Kitgum Pader Abim Simsim Groundnuts Sorghum Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8341
        </catValu>
        <labl>
          Southern Maasai Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8342
        </catValu>
        <labl>
          River Pangani Paddy and Maize Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8343
        </catValu>
        <labl>
          Tanga Maize and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8344
        </catValu>
        <labl>
          Tanga Maize and Sisal Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8345
        </catValu>
        <labl>
          Usambara-Pare Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8346
        </catValu>
        <labl>
          Tanga Maize, Orange, and Jackfruit Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8347
        </catValu>
        <labl>
          Tanga-Pwani Coastal Maize, Paddy Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8348
        </catValu>
        <labl>
          Handeni-Bagamoyo Maize, Cassava, and Fruit Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8349
        </catValu>
        <labl>
          Loliondo Midland Maize, Beans, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8541
        </catValu>
        <labl>
          South tubers and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8542
        </catValu>
        <labl>
          Southwest fruits, cotton, and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8543
        </catValu>
        <labl>
          West cotton and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8544
        </catValu>
        <labl>
          West cereals and remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8545
        </catValu>
        <labl>
          Central plateau cereals and market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8546
        </catValu>
        <labl>
          Ouagadougou peri-urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8547
        </catValu>
        <labl>
          North and east livestock and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8548
        </catValu>
        <labl>
          North transhuman pastoralism and millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8549
        </catValu>
        <labl>
          Southeast cereals, livestock, forestry and faune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8941
        </catValu>
        <labl>
          Northwest High Rainfall Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8942
        </catValu>
        <labl>
          Tuta-Luapula Corridor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8943
        </catValu>
        <labl>
          Northern Province Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8944
        </catValu>
        <labl>
          Copperbelt Mining Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8945
        </catValu>
        <labl>
          Mufumbwe-Kasempa Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8946
        </catValu>
        <labl>
          Muchinga Escarpment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8947
        </catValu>
        <labl>
          Central Maize-Cotton Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8948
        </catValu>
        <labl>
          Chama-Lundazi Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8949
        </catValu>
        <labl>
          Line Of Rail Commercial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10811
        </catValu>
        <labl>
          Buragane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10812
        </catValu>
        <labl>
          Congo Ridge Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10813
        </catValu>
        <labl>
          Eastern Arid Plateaus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10814
        </catValu>
        <labl>
          Humid Plateaus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10815
        </catValu>
        <labl>
          Imbo Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10816
        </catValu>
        <labl>
          Northern Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10817
        </catValu>
        <labl>
          Eastern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10818
        </catValu>
        <labl>
          Southern Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14010
        </catValu>
        <labl>
          Southern maize, citrus fruits, and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14011
        </catValu>
        <labl>
          Southwest cassava, coffee, gathering, and mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18010
        </catValu>
        <labl>
          Midland Agricultural Savannah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18011
        </catValu>
        <labl>
          Virunga Volcanic Soils Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18012
        </catValu>
        <labl>
          Forest Cultivation and Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18013
        </catValu>
        <labl>
          Artisanal Mining with Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18014
        </catValu>
        <labl>
          Northeast Highlands Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18015
        </catValu>
        <labl>
          Orientale Fishing with Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18016
        </catValu>
        <labl>
          Northern Plateau Cassava, Maize, Groundnuts and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18017
        </catValu>
        <labl>
          Bumba Rice and Tubers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18018
        </catValu>
        <labl>
          Bomongo and Makanza Districts Intensive Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18019
        </catValu>
        <labl>
          Fishing and Staples Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18020
        </catValu>
        <labl>
          Cuvette Centrale Staple Crops, Fishing and Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18021
        </catValu>
        <labl>
          Equatorial Forest, Hunting, Fishing and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18022
        </catValu>
        <labl>
          Lighter Forest with Rice and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18023
        </catValu>
        <labl>
          Savannah with Cassava and Cowpeas and Small Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18024
        </catValu>
        <labl>
          Intensive Artisanal Diamond Exploitation with Crop Cultivation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18025
        </catValu>
        <labl>
          Clay Soils with High Production of Cassava and Maize, and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18026
        </catValu>
        <labl>
          High Food Crop Production and Trading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18027
        </catValu>
        <labl>
          Agropastoral Staple Crops, Small Stock and Cattle and Wild Foods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18028
        </catValu>
        <labl>
          Agriculture with High Production and Marketing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18029
        </catValu>
        <labl>
          Cassava, Maize and Groundnuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18030
        </catValu>
        <labl>
          Market Gardening and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18031
        </catValu>
        <labl>
          River Fishing and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18032
        </catValu>
        <labl>
          Coastal Fishing and Kitchen Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18033
        </catValu>
        <labl>
          Forest Staple Crops, Cash Crops and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18034
        </catValu>
        <labl>
          Kinshasa Peri-urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Agarfa, Gasera, Ginir &amp; Gololcha Fruit, Coffee &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23111
        </catValu>
        <labl>
          Alaba-Mareko Lowland Pepper LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23112
        </catValu>
        <labl>
          Alaje Ofla Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23113
        </catValu>
        <labl>
          Amaro Coffee and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23114
        </catValu>
        <labl>
          Ambo Selale Ginderberet Teff &amp; Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23115
        </catValu>
        <labl>
          Ameya-Wolisso-Ambo Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23116
        </catValu>
        <labl>
          Anfilo Coffee Monoculture &amp; Honey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23117
        </catValu>
        <labl>
          Anger Maize, Sorghum &amp; Finger Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23118
        </catValu>
        <labl>
          Aramiss - Adaar Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23119
        </catValu>
        <labl>
          Arsi Bale Wheat, Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23120
        </catValu>
        <labl>
          Asale Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23121
        </catValu>
        <labl>
          Asale Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23122
        </catValu>
        <labl>
          Atsbi Womberta Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23123
        </catValu>
        <labl>
          Awassa Chat and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23124
        </catValu>
        <labl>
          Awsa-Gewane Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23125
        </catValu>
        <labl>
          Badewacho-Alaba Maize LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23126
        </catValu>
        <labl>
          Bale Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23127
        </catValu>
        <labl>
          Bale Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23128
        </catValu>
        <labl>
          Basketo-Melo Coffee and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23129
        </catValu>
        <labl>
          Becho-Adea Teff &amp; Chickpea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23130
        </catValu>
        <labl>
          Bench-Keffa Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23131
        </catValu>
        <labl>
          Bilate Basin Agro-Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23132
        </catValu>
        <labl>
          Borena-Guji Cattle Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23133
        </catValu>
        <labl>
          Borena-Guji Coffee &amp; Enset
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23134
        </catValu>
        <labl>
          Borena-Guji Maize, Wheat &amp; Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23135
        </catValu>
        <labl>
          Central Highland Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23136
        </catValu>
        <labl>
          Central Horo Teff, Nug &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23137
        </catValu>
        <labl>
          Central Kolla Sorghum, Maize &amp; Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23138
        </catValu>
        <labl>
          Central Mixed Crop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23139
        </catValu>
        <labl>
          Chamo-Abaya Irrigated Banana LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23140
        </catValu>
        <labl>
          Chat &amp; Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23141
        </catValu>
        <labl>
          Chebo-Inchini Enset, Barley &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23142
        </catValu>
        <labl>
          Cheffa valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23143
        </catValu>
        <labl>
          Chenno Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23144
        </catValu>
        <labl>
          Chercher &amp; Gololcha Chole Coffee, Maize &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23145
        </catValu>
        <labl>
          Dale-Lalo Sorghum &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23146
        </catValu>
        <labl>
          Dallo, Barbare &amp; Arana-Buluk Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23147
        </catValu>
        <labl>
          Dawa-Ganale Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23148
        </catValu>
        <labl>
          Dawro-Konta Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23149
        </catValu>
        <labl>
          Degahbur Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23150
        </catValu>
        <labl>
          Didessa-Gibe-Wama Valley Sorghum, Maize &amp; Oilcrops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23151
        </catValu>
        <labl>
          Eastern Planteau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23152
        </catValu>
        <labl>
          Ebantu-Limu Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23153
        </catValu>
        <labl>
          Eli daar Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23154
        </catValu>
        <labl>
          Enderta Dry Midland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23155
        </catValu>
        <labl>
          Fik Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23156
        </catValu>
        <labl>
          Filtu-Dolo Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23157
        </catValu>
        <labl>
          Gambella Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23158
        </catValu>
        <labl>
          Gambella Coffee, Honey &amp; Cereal LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23159
        </catValu>
        <labl>
          Gambella Mixed Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23160
        </catValu>
        <labl>
          Gamo Gofa Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23161
        </catValu>
        <labl>
          Gamo Gofa Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23162
        </catValu>
        <labl>
          Gedeo Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23163
        </catValu>
        <labl>
          Gera-Setema-Sale Forest Teff, Honey &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23164
        </catValu>
        <labl>
          Gerbo Enset &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23165
        </catValu>
        <labl>
          Gesho and Wheat Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23166
        </catValu>
        <labl>
          Gibe Maize &amp; Peppers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23167
        </catValu>
        <labl>
          Gode Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23168
        </catValu>
        <labl>
          Goro-Ginir Spice &amp; Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23169
        </catValu>
        <labl>
          Guduru-Amuru Maize, Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23170
        </catValu>
        <labl>
          Guji-Borena Enset, Barley &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23171
        </catValu>
        <labl>
          Guna Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23172
        </catValu>
        <labl>
          Gurage Lowland Maize and Teff LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23173
        </catValu>
        <labl>
          Gurage-Siltie Enset and Teff LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23174
        </catValu>
        <labl>
          Gurage-Siltie Highland Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23175
        </catValu>
        <labl>
          Gurage-Siltie Midland Enset and Chat LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23176
        </catValu>
        <labl>
          Gursum-Babile Groundnuts &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23177
        </catValu>
        <labl>
          Hadero Ginger LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23178
        </catValu>
        <labl>
          Hadiya Maize LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23179
        </catValu>
        <labl>
          Hadiya-Kembata Cereal and Enset LZ - Hadiya sub zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23180
        </catValu>
        <labl>
          Hadiya-Kembata Cereal and Enset LZ - Kembata sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23181
        </catValu>
        <labl>
          Harshin-Degahbur East Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23182
        </catValu>
        <labl>
          Humera Sesame and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23183
        </catValu>
        <labl>
          Illu-Wellega-Birbir Maize, Peppers &amp; Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23184
        </catValu>
        <labl>
          Irob Mountains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23185
        </catValu>
        <labl>
          Jaldu-Dendi-Ilfata Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23186
        </catValu>
        <labl>
          Jijiga Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23187
        </catValu>
        <labl>
          Jijiga Sedentary Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23188
        </catValu>
        <labl>
          Jimma-Illubabur Coffee, Cereals &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23189
        </catValu>
        <labl>
          Jimma-Yama Logi Teff &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23190
        </catValu>
        <labl>
          Kaffa Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23191
        </catValu>
        <labl>
          Kedida-Badewacho Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23192
        </catValu>
        <labl>
          Kereyu Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23193
        </catValu>
        <labl>
          Keto-Begi Cereals &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23194
        </catValu>
        <labl>
          Kofele Kokosa Enset &amp; Cattle Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23195
        </catValu>
        <labl>
          Korahe Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23196
        </catValu>
        <labl>
          Korahe-Gode Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23197
        </catValu>
        <labl>
          Liban Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23198
        </catValu>
        <labl>
          Lowland-Hawd Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23199
        </catValu>
        <labl>
          Market-Isolated Cattle &amp; Shoat Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32410
        </catValu>
        <labl>
          Pre-forest zone: Rice, Manioc, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32411
        </catValu>
        <labl>
          Forest: Rice, Palm oil, Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34010
        </catValu>
        <labl>
          Platano River Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34011
        </catValu>
        <labl>
          Urban Center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40410
        </catValu>
        <labl>
          Grasslands Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40411
        </catValu>
        <labl>
          Southeastern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40412
        </catValu>
        <labl>
          Coastal Medium Potential Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40413
        </catValu>
        <labl>
          Coastal Marginal Agricultural Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40414
        </catValu>
        <labl>
          Tana Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40415
        </catValu>
        <labl>
          Southern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40416
        </catValu>
        <labl>
          Southeastern Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40417
        </catValu>
        <labl>
          Southeastern Medium Potential, Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40418
        </catValu>
        <labl>
          Southern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40419
        </catValu>
        <labl>
          Central Highlands, High Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40420
        </catValu>
        <labl>
          Western Medium Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40421
        </catValu>
        <labl>
          Western High Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40422
        </catValu>
        <labl>
          Western Lakeshore Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40423
        </catValu>
        <labl>
          Lake Victoria Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40424
        </catValu>
        <labl>
          Western Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45010
        </catValu>
        <labl>
          Agropastoral midwest: rice, maize, pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45011
        </catValu>
        <labl>
          Central Iarivo: rice, market gardening, eucalyptus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45012
        </catValu>
        <labl>
          Moramanga: forest, petty trade, market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45013
        </catValu>
        <labl>
          Center-east: litchi, coffee, citrus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45014
        </catValu>
        <labl>
          Ankaratra: staple crops, horticulture, milk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45015
        </catValu>
        <labl>
          Tsirobihina Delta: rice, fishing, pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45016
        </catValu>
        <labl>
          South-central peneplain: rice, onion, small livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45017
        </catValu>
        <labl>
          Southern highlands: staple crops, crafts, market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45018
        </catValu>
        <labl>
          Corridor: forest products, banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45019
        </catValu>
        <labl>
          Southeast: coffee, litchi, cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45020
        </catValu>
        <labl>
          Southwest: rice, lima bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45021
        </catValu>
        <labl>
          Bara plateau: cows, cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45022
        </catValu>
        <labl>
          Center-south: staple crops, industrial sisal, zebu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45023
        </catValu>
        <labl>
          Mahafaly plateau: cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45024
        </catValu>
        <labl>
          Extreme south: cassava, maize, livestock rearing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45410
        </catValu>
        <labl>
          Northern Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45411
        </catValu>
        <labl>
          Northern Lakeshore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45412
        </catValu>
        <labl>
          Phirilongwe Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45413
        </catValu>
        <labl>
          Rift Valley Escarpment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45414
        </catValu>
        <labl>
          Shire Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45415
        </catValu>
        <labl>
          Southern Lakeshore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45416
        </catValu>
        <labl>
          Thyolo Mulunje Tea Estates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45417
        </catValu>
        <labl>
          Western Rumphi &amp; Mzimba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45418
        </catValu>
        <labl>
          Border Productive Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45420
        </catValu>
        <labl>
          National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45421
        </catValu>
        <labl>
          Lake Niassa islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46610
        </catValu>
        <labl>
          Southeastern Sorghum, Millet, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46611
        </catValu>
        <labl>
          Southern Maize, Cotton, and Fruits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46612
        </catValu>
        <labl>
          Southwestern Maize, Livestock, and Gold Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46613
        </catValu>
        <labl>
          Center-eastern Millet and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46614
        </catValu>
        <labl>
          Lakes Recessional Millet and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46615
        </catValu>
        <labl>
          Western Groundnut, Sorghum, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46616
        </catValu>
        <labl>
          Southwestern Gold Mining and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50810
        </catValu>
        <labl>
          Zambezi Valley with Maize and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50811
        </catValu>
        <labl>
          Northwestern Cropping and Cross-border Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50812
        </catValu>
        <labl>
          Coastal Sugarcane and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50813
        </catValu>
        <labl>
          Tete Highland Mixed Cropping, Tobbaco, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50814
        </catValu>
        <labl>
          Cahora Bassa Dam Sesame and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50815
        </catValu>
        <labl>
          Central Semiarid Cotton and Minerals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50816
        </catValu>
        <labl>
          Manica Highland Mixed Cropping, Cotton, and Tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50817
        </catValu>
        <labl>
          Central Manica and Sofala Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50818
        </catValu>
        <labl>
          Cheringoma and Muanza Maize and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50819
        </catValu>
        <labl>
          Central Semiarid Pineapple and Cashew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50820
        </catValu>
        <labl>
          Southern Coastal Cassava, Coconut, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50821
        </catValu>
        <labl>
          Southern Intermediate Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50822
        </catValu>
        <labl>
          Southern Semiarid Cereals and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50823
        </catValu>
        <labl>
          Southeastern Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50824
        </catValu>
        <labl>
          Limpopo and Elephant Rivers Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50825
        </catValu>
        <labl>
          Southern Coastal Rishing, Manioc, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50826
        </catValu>
        <labl>
          Southern Highland Cattle and Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56210
        </catValu>
        <labl>
          Dallols - Seasonal Water-Course Irrigated Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56211
        </catValu>
        <labl>
          Southeastern Natron Salt and Small Basin Irrigated Dates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56212
        </catValu>
        <labl>
          Komadougou Irrigated Peppers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56213
        </catValu>
        <labl>
          Lake Chad Flood-Retreat Cultivation with Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56214
        </catValu>
        <labl>
          Transhumant and Nomad Pastoralism-Camels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56610
        </catValu>
        <labl>
          North-Central Maize, Sorghum, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56611
        </catValu>
        <labl>
          Northern Floodplains Irrigated Rice, Wheat, and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56612
        </catValu>
        <labl>
          Northeast Millet, Cowpea, and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56613
        </catValu>
        <labl>
          Sahel Mixed Cereals and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56614
        </catValu>
        <labl>
          Lake Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64610
        </catValu>
        <labl>
          Southeastern Plateau Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64611
        </catValu>
        <labl>
          Eastern Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64612
        </catValu>
        <labl>
          Eastern Semi-Arid Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64613
        </catValu>
        <labl>
          Urban Area
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64614
        </catValu>
        <labl>
          Akagera National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64615
        </catValu>
        <labl>
          Gishwati Forest Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64616
        </catValu>
        <labl>
          Mukura Forest Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64617
        </catValu>
        <labl>
          Nyungwe Forest National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68610
        </catValu>
        <labl>
          Rainfed Groundnut and Cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68611
        </catValu>
        <labl>
          Forest and Rainfed Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68612
        </catValu>
        <labl>
          Forest, Rainfed Rice, and Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68613
        </catValu>
        <labl>
          Rainfed Maize, Cotton, and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68614
        </catValu>
        <labl>
          Rainfed Maize and Lumber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68615
        </catValu>
        <labl>
          Rainfed Maize and Artisanal Gold Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68616
        </catValu>
        <labl>
          Urban Area - Dakar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69410
        </catValu>
        <labl>
          Rice Bowl Areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71610
        </catValu>
        <labl>
          Greater Mudzi Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71611
        </catValu>
        <labl>
          Highveld Prime Cereal and Cash Crop Resettlement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71612
        </catValu>
        <labl>
          Highveld Prime Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71613
        </catValu>
        <labl>
          Irrigated Commercial Sugar and Fruit Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71614
        </catValu>
        <labl>
          Kariba Valley and Kariangwe-Jambezi Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71615
        </catValu>
        <labl>
          Livestock and Cereal Farming Communal in Forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71616
        </catValu>
        <labl>
          Lusulu, Lupane and Southern Gokwe Mixed Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71617
        </catValu>
        <labl>
          Masvingo Manicaland Middleveld Smallholder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71618
        </catValu>
        <labl>
          Matabeleland Middleveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71619
        </catValu>
        <labl>
          Mutorashanga Informal mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71620
        </catValu>
        <labl>
          Mwenezi, Chivi and South Midland Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71621
        </catValu>
        <labl>
          Northern Cattle and Cereal Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71622
        </catValu>
        <labl>
          Northern Zambezi Valley Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71623
        </catValu>
        <labl>
          Save River Valley and Ndowoyo Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71624
        </catValu>
        <labl>
          Southern Cattle and Cereal Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71625
        </catValu>
        <labl>
          Western Kalahari Sandveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76210
        </catValu>
        <labl>
          Panjakent Rice, Fruit and Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76211
        </catValu>
        <labl>
          Ghonchi and Istaravshan Rainfed Cereal, Fruit, and Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76212
        </catValu>
        <labl>
          North Sughd Agro-Industrial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76213
        </catValu>
        <labl>
          Khatlon Agro-Industrial Peri-urban Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80010
        </catValu>
        <labl>
          Albertine West Nile Lowland Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80011
        </catValu>
        <labl>
          Kafu Muzizi Maize Upland Rice Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80012
        </catValu>
        <labl>
          Albertine Escarpment Cotton Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80013
        </catValu>
        <labl>
          Bwijanga Pakanyi SugarcaNE Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80014
        </catValu>
        <labl>
          Karuma Masindi Oyam Tobacco Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80015
        </catValu>
        <labl>
          West Nile Tobacco Cassava Sorghum Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80016
        </catValu>
        <labl>
          Rwenzori Mt.Elgon West Nile Arabica Coffee Banana Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80017
        </catValu>
        <labl>
          Amuru Gulu Rice Groundnut Sorghum Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80018
        </catValu>
        <labl>
          Southwest Gulu Beans Groundnuts Shoat Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80019
        </catValu>
        <labl>
          Mid North Simsim Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80020
        </catValu>
        <labl>
          Eastern Lowland Maize Beans Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80021
        </catValu>
        <labl>
          Eastern Central Lowland Cassava Sorghum and Groundnut Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80022
        </catValu>
        <labl>
          Mt Elgon Highland Irish Potato Cereal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80023
        </catValu>
        <labl>
          Central and Southern Cattle Cassava Maize Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80024
        </catValu>
        <labl>
          Lakeshore and Riverbank Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80025
        </catValu>
        <labl>
          Southeastern Maize Beans Robusta Coffee Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80026
        </catValu>
        <labl>
          Midwest Central and Lake Victoria Crescent Robusta Coffee Banana Maize and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80027
        </catValu>
        <labl>
          Rwenzori Midland Banana Fruit Vegetable Dairy Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80028
        </catValu>
        <labl>
          Kazinga Channel Cassava Maize Fruit Vegetable Cotton Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80029
        </catValu>
        <labl>
          Rwenzori Lowland Maize Vegetable Banana Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80030
        </catValu>
        <labl>
          Southeastern Lowland Cassava Cereal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80031
        </catValu>
        <labl>
          Eastern Lowland Rice Root Crop Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80032
        </catValu>
        <labl>
          Southeastern Lowland Cassava Maize Sweet Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80033
        </catValu>
        <labl>
          East Central Plantation Outgrower Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80034
        </catValu>
        <labl>
          Kayunga Masaka Pineapple Banana Robusta Coffee and Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80035
        </catValu>
        <labl>
          SW Highland Irish Potato Sorghum Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80036
        </catValu>
        <labl>
          Kalangala Fishing Oil Palm Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80037
        </catValu>
        <labl>
          Western Rift Valley Cocoa Coffee Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80038
        </catValu>
        <labl>
          Rwenzori Midland Tea and Dairy Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80039
        </catValu>
        <labl>
          Southwestern Midland Banana Robusta Coffee Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80040
        </catValu>
        <labl>
          SW Rift Valley Tobacco Bean Millet Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83410
        </catValu>
        <labl>
          Lower Rombo Maize, Beans, and Finger Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83411
        </catValu>
        <labl>
          Kilimanjaro-Meru Maize, Coffee, and Plantains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83412
        </catValu>
        <labl>
          Karatu Wheat, Maize, and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83413
        </catValu>
        <labl>
          Lower Arusha-Simanjiro Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83414
        </catValu>
        <labl>
          Northern Maasai Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83415
        </catValu>
        <labl>
          Nowu Maize, Beans, and Onions Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83416
        </catValu>
        <labl>
          Babati Kwaraa Maize, Beans, Sunflower, and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83417
        </catValu>
        <labl>
          Kiteto-Kongwa-Mpwapwa-Mvomero Maize, Sorghum, and Pigeon Pea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83418
        </catValu>
        <labl>
          Mbulu-Karatu Midlands Maize, Beans, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83419
        </catValu>
        <labl>
          Hadzabe Hunter-Gatherer Wild Honey, Wild Roots, and Wild Fruit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83420
        </catValu>
        <labl>
          Wembere Paddy, Sorghum, Maize, Sunflower, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83421
        </catValu>
        <labl>
          Bahi-Sanza Irrigated Rice, Maize, Bulrush Millet, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83422
        </catValu>
        <labl>
          Iramba Midland Onion, Maize, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83423
        </catValu>
        <labl>
          Manyoni Upland Maize, Sunflower, Sesame, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83424
        </catValu>
        <labl>
          Tabora-Singida Midland Maize, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83425
        </catValu>
        <labl>
          Singida-Manyara Maize, Sorghum, Beans, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83426
        </catValu>
        <labl>
          East and South Lakeshore Fishing, Cassava, and Upland Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83427
        </catValu>
        <labl>
          Western Lakeshore Coffee, Fishing, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83428
        </catValu>
        <labl>
          Kagera-Kigoma-Mara Banana, Coffee, and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83429
        </catValu>
        <labl>
          Mwanza-Shinyanga-Mara Cotton, Livestock, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83430
        </catValu>
        <labl>
          Kagera Lowlands Beans, Maize, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83431
        </catValu>
        <labl>
          Shinyanga-Tabora Cotton, Upland Rice, Sweet Potato, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83432
        </catValu>
        <labl>
          Sengerema-Geita Highland Cassava, Rice, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83433
        </catValu>
        <labl>
          Kagera-Kigoma Beans, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83434
        </catValu>
        <labl>
          Kahama-Tabora Midland Tobacco, Maize, Rice, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83435
        </catValu>
        <labl>
          Kishapu-Meatu-Maswa Sorghum, Cotton, Sweet Potato, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83436
        </catValu>
        <labl>
          Urambo-Nzega Lowland Groundnuts, Cotton, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83437
        </catValu>
        <labl>
          Kigoma Lowland Palm Oil, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83438
        </catValu>
        <labl>
          Urambo Agropastoral Maize and Sweet Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83439
        </catValu>
        <labl>
          Victoria Islands Fishing, Cassava, Sweet Potato, and Paddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83440
        </catValu>
        <labl>
          Ruaha Riverine Maize, Onion, Tomato, and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83441
        </catValu>
        <labl>
          Chalinze-Tunuguo Maize, Cattle, and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83442
        </catValu>
        <labl>
          Kilombero-Mtibwa Paddy, Maize, and Sugar Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83443
        </catValu>
        <labl>
          Kilombero-Ulanga-Lusewa Paddy, Maize, and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83444
        </catValu>
        <labl>
          Kilosa-Mvomero Maize and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83445
        </catValu>
        <labl>
          Matombo-Kuyuni Spice, Maize, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83446
        </catValu>
        <labl>
          Bagamoyo-Kibaha Midland Cassava, Cashew, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83447
        </catValu>
        <labl>
          Morogoro Highland Maize and Vegetable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83448
        </catValu>
        <labl>
          Maskat-Kimbet Maize and Beans Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83449
        </catValu>
        <labl>
          Newala-Masasi Plateau Sesame, Cassava, Cashew, and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83450
        </catValu>
        <labl>
          Mtwara-Lindi Coastal Rice and Cashew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83451
        </catValu>
        <labl>
          Matumbi Midland Upland Rice, Oranges, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83452
        </catValu>
        <labl>
          Lindi-Nachingwea Lowland Cassava and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83453
        </catValu>
        <labl>
          Southeastern Plateau Cassava, Cashew, and Bambara Nuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83454
        </catValu>
        <labl>
          Mtwara-Lindi-Pwani Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83455
        </catValu>
        <labl>
          Singida-Dodoma Sorghum, B/Millet, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83456
        </catValu>
        <labl>
          Dodoma Lowland Sunflower, Grape, and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83457
        </catValu>
        <labl>
          Mpanda Maize, Paddy, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83458
        </catValu>
        <labl>
          Lake Tanganyika-Rukwa Fishing, Maize, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83459
        </catValu>
        <labl>
          Kyela Paddy, Cacao, and Palm Oil Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83460
        </catValu>
        <labl>
          Rungwe Banana, Coffee, Tea, and Livestock Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83461
        </catValu>
        <labl>
          Mporoto-Umalila Irish Potato, Maize, Wheat, and Pyrethrum Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83462
        </catValu>
        <labl>
          Mbozi-Mbeya Coffee, Maize, Beans, and Livestock Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83463
        </catValu>
        <labl>
          Usangu Paddy, Maize, Sorghum, and Livestock Wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83464
        </catValu>
        <labl>
          Kamsamba Paddy, Sorghum, and Livestock Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83465
        </catValu>
        <labl>
          Chunya Maize, Sunflower, Cassava, and Groundnut Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83466
        </catValu>
        <labl>
          West Chunya Maize, Bulrush Millet, and Sesame Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83467
        </catValu>
        <labl>
          Lake Nyasa Shore Cassava Fishing and Paddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83468
        </catValu>
        <labl>
          Namtumbo Tobacco, Maize, Paddy, and Cassava Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83469
        </catValu>
        <labl>
          Matengo Coffee, Maize, Beans, and Piggery Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83470
        </catValu>
        <labl>
          Songea-Namtumbo-Ludewa-Mibinga Maize, Beans, and Cassava Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83471
        </catValu>
        <labl>
          Njombe-Mufindi Maize, Timber, Tea, Pyrethrum, and Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83472
        </catValu>
        <labl>
          Mtera Dam Fishing, Sorghum, and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83473
        </catValu>
        <labl>
          Makete Wheat, Irish Potato, Timber, and Employment Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83474
        </catValu>
        <labl>
          Njombe-Mufindi Maize, Irish Potato, and Bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83475
        </catValu>
        <labl>
          Iringa-Mbarali Maize, Sunflower, Beans, and Groundnut Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83476
        </catValu>
        <labl>
          Tunduru-Nachingwea-Nanyumbu Cashew, Cassava, and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83477
        </catValu>
        <labl>
          Mpanda-Chunya-Sikonge Maize and Tobacco Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83478
        </catValu>
        <labl>
          Sumbawanga-Mbozi-Mpanda Maize, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83479
        </catValu>
        <labl>
          Water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89410
        </catValu>
        <labl>
          Eastern Province Cash Crop Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89411
        </catValu>
        <labl>
          Sioma Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89412
        </catValu>
        <labl>
          Kazungula-Mwandi Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89413
        </catValu>
        <labl>
          Chongwe-Nyimba Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89414
        </catValu>
        <labl>
          Luano Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89415
        </catValu>
        <labl>
          Mulobezi Woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89416
        </catValu>
        <labl>
          Zambezi West Bank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89417
        </catValu>
        <labl>
          Zambezi East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89418
        </catValu>
        <labl>
          Gwembe Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89419
        </catValu>
        <labl>
          Lake Kariba Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89420
        </catValu>
        <labl>
          Chiawa-Zambezi Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89421
        </catValu>
        <labl>
          Mambwe-Petauke Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89422
        </catValu>
        <labl>
          Mkushi Commercial Block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89423
        </catValu>
        <labl>
          Zambezi Floodplain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89424
        </catValu>
        <labl>
          Luapula Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89425
        </catValu>
        <labl>
          Luangwa-Mfuwe Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89426
        </catValu>
        <labl>
          Luapula-Northern Wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89427
        </catValu>
        <labl>
          Kaputa Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231100
        </catValu>
        <labl>
          Meketel Highland Cereal &amp; Pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231101
        </catValu>
        <labl>
          Melka Awash-Ochocha Mid-Highland Wheat &amp; Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231102
        </catValu>
        <labl>
          Mendi-Dabisu Maize, Sesame &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231103
        </catValu>
        <labl>
          Mereb Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231104
        </catValu>
        <labl>
          Merhabete Lowland Sorghum and teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231105
        </catValu>
        <labl>
          Middle Tekeze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231106
        </catValu>
        <labl>
          Midland Teff &amp; Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231107
        </catValu>
        <labl>
          Minjar teff and livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231108
        </catValu>
        <labl>
          Minjar teff and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231109
        </catValu>
        <labl>
          Moyale Agro-Pastoral, Labour &amp; Cross-Border Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231110
        </catValu>
        <labl>
          Moyale Cattle, Shoats &amp; Camel Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231111
        </catValu>
        <labl>
          Moyale-Wayamo Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231112
        </catValu>
        <labl>
          Muger-Abay-Jema Sorghum &amp; Teff Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231113
        </catValu>
        <labl>
          N Highland wheat, Barley &amp; Sheep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231114
        </catValu>
        <labl>
          Nadda-Gilgel Gibe Maize, Teff and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231115
        </catValu>
        <labl>
          Namalefan &amp; Baadu Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231116
        </catValu>
        <labl>
          Nejo-Dilla Teff, Finger Millet &amp; Nug
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231117
        </catValu>
        <labl>
          Nole-Meko-Diga Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231118
        </catValu>
        <labl>
          North East Woyna Dega Mixed Cereal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231119
        </catValu>
        <labl>
          North Shewa highland sheep and barley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231120
        </catValu>
        <labl>
          North Shewa Highland Wheat and Teff productive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231121
        </catValu>
        <labl>
          North Wollo East Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231122
        </catValu>
        <labl>
          North Wollo Highland Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231123
        </catValu>
        <labl>
          North-East Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231124
        </catValu>
        <labl>
          NorthWest Cash Crop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231125
        </catValu>
        <labl>
          NorthWest Sorghum Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231126
        </catValu>
        <labl>
          Omo River Flood Recession LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231127
        </catValu>
        <labl>
          Omo Valley Maize and Sorghum LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231128
        </catValu>
        <labl>
          Raya Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231129
        </catValu>
        <labl>
          Rift Valley Maize &amp; Horse Bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231130
        </catValu>
        <labl>
          Robe Chole Sude &amp; Seru Teff Maize Haricot Bean Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231131
        </catValu>
        <labl>
          Salamago Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231132
        </catValu>
        <labl>
          Selale-Ambo Highland Barley, Wheat and Horsebean belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231133
        </catValu>
        <labl>
          Shabelle Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231134
        </catValu>
        <labl>
          Sheka Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231135
        </catValu>
        <labl>
          Shinile Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231136
        </catValu>
        <labl>
          Shinile Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231137
        </catValu>
        <labl>
          Shirka Ticho Spice &amp; Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231138
        </catValu>
        <labl>
          Sidama Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231139
        </catValu>
        <labl>
          Sidama Maize Belt LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231140
        </catValu>
        <labl>
          Sidama-Gedeo Highland Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231141
        </catValu>
        <labl>
          Siraro Kofele Potato &amp; Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231142
        </catValu>
        <labl>
          Soddo Highland Wheat, Barley &amp; Enset
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231143
        </catValu>
        <labl>
          Sorghum, Maize &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231144
        </catValu>
        <labl>
          South East Woyna Dega Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231145
        </catValu>
        <labl>
          South Omo Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231146
        </catValu>
        <labl>
          South Omo Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231147
        </catValu>
        <labl>
          South West Maize, Finger Millet and Teff productive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231148
        </catValu>
        <labl>
          South West Woyna Dega wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231149
        </catValu>
        <labl>
          South Wollo &amp; Oromia Eastern lowland sorghum &amp; cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231150
        </catValu>
        <labl>
          South Wollo Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231151
        </catValu>
        <labl>
          South Wollo Meher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231152
        </catValu>
        <labl>
          South Wollo Meher and Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231153
        </catValu>
        <labl>
          Southern Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231154
        </catValu>
        <labl>
          Southern Agro-Pastoral Livelihood Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231155
        </catValu>
        <labl>
          Southern Cereal, Enset and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231156
        </catValu>
        <labl>
          Southern Special Woredas Lowland Cereal LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231157
        </catValu>
        <labl>
          Surma Agro-Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231158
        </catValu>
        <labl>
          Tana Zuria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231159
        </catValu>
        <labl>
          Tekeze Lowland Sorghum and Goats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231160
        </catValu>
        <labl>
          Teru Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231161
        </catValu>
        <labl>
          Tsirare Catchment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231162
        </catValu>
        <labl>
          Wellega Coffee, Maize &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231163
        </catValu>
        <labl>
          Wellega-Dedo Highland Wheat &amp; Barley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231164
        </catValu>
        <labl>
          Werie Catchment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231165
        </catValu>
        <labl>
          West Central Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231166
        </catValu>
        <labl>
          Western Cereal and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231167
        </catValu>
        <labl>
          Western Coffee and Spices LZ - Eastern sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231168
        </catValu>
        <labl>
          Western Coffee and Spices LZ - Western sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231169
        </catValu>
        <labl>
          Western Dry Kolla Sorghum, Maize &amp; Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231170
        </catValu>
        <labl>
          Western Forest Products LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231171
        </catValu>
        <labl>
          Wheat, Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231172
        </catValu>
        <labl>
          Wolayita Barley and Wheat LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231173
        </catValu>
        <labl>
          Wolayita Ginger and Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231174
        </catValu>
        <labl>
          Wolayita Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231175
        </catValu>
        <labl>
          Wuchale-Abichu-Kembebit Livestock, 'Wild Oats' &amp; Barley/Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231176
        </catValu>
        <labl>
          Yem Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231999
        </catValu>
        <labl>
          No Data
        </labl>
      </catgry>
      <catgry>
        <catValu>
          562999
        </catValu>
        <labl>
          Not Zoned (Desert)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834999
        </catValu>
        <labl>
          Not Zoned
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3731" name="B_CROPLAND" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Proportion of land area used for agriculture
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CROPLAND reports the proportion of land that is planted in crops, for a 10 kilometer circular buffer around each DHS cluster location. The statistics reported in CROPLAND are based on agricultural censuses and remotely sensed imagery circa 2000. CROPLAND is available for every IPUMS-DHS sample with GPS data. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: CROPLAND [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3732" name="B_PASTURELAND" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Proportion of land area used for pastureland
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PASTURELAND reports the proportion of land that is used as pasture, for a 10 kilometer circular buffer around each DHS cluster location. The pasture area statistics reported in PASTURELAND are based on agricultural censuses and remotely sensed imagery circa 2000. PASTURELAND is available for every IPUMS-DHS sample with GPS data. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: PASTURELAND [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3733" name="B_NDVI" files="F3" dcml="0" intrvl="contin">
      <labl>
        NDVI monthly time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI consists of a set of 72 variables. These variables report the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. NDVI values range from 0 to 1. 
  
By adding NDVI to your data cart, you are in effect adding 72 separate variables:

The 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., NDVI_01 is the maximum NDVI in the month before the survey start date; NDVI_60 is the maximum NDVI in the 60th month before the survey start date).
The month of the survey start date (NDVI_00)
The 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., NDVI_A01 is the maximum NDVI in the month following the month of the survey start date).
 

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        NDVI variables are numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3734" name="B_NDVI_60" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 60 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3735" name="B_NDVI_59" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 59 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3736" name="B_NDVI_58" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 58 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3737" name="B_NDVI_57" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 57 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3738" name="B_NDVI_56" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 56 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3739" name="B_NDVI_55" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 55 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3740" name="B_NDVI_54" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 54 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3741" name="B_NDVI_53" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 53 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3742" name="B_NDVI_52" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 52 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3743" name="B_NDVI_51" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 51 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3744" name="B_NDVI_50" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 50 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3745" name="B_NDVI_49" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 49 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3746" name="B_NDVI_48" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 48 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3747" name="B_NDVI_47" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 47 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3748" name="B_NDVI_46" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 46 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3749" name="B_NDVI_45" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 45 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3750" name="B_NDVI_44" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 44 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3751" name="B_NDVI_43" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 43 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3752" name="B_NDVI_42" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 42 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3753" name="B_NDVI_41" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 41 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3754" name="B_NDVI_40" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 40 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3755" name="B_NDVI_39" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 39 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3756" name="B_NDVI_38" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 38 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3757" name="B_NDVI_37" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 37 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3758" name="B_NDVI_36" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 36 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3759" name="B_NDVI_35" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 35 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3760" name="B_NDVI_34" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 34 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3761" name="B_NDVI_33" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 33 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3762" name="B_NDVI_32" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 32 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3763" name="B_NDVI_31" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 31 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3764" name="B_NDVI_30" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 30 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3765" name="B_NDVI_29" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 29 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3766" name="B_NDVI_28" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 28 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3767" name="B_NDVI_27" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 27 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3768" name="B_NDVI_26" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 26 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3769" name="B_NDVI_25" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 25 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3770" name="B_NDVI_24" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 24 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3771" name="B_NDVI_23" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 23 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3772" name="B_NDVI_22" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 22 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3773" name="B_NDVI_21" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 21 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3774" name="B_NDVI_20" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 20 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3775" name="B_NDVI_19" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 19 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3776" name="B_NDVI_18" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 18 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3777" name="B_NDVI_17" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 17 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3778" name="B_NDVI_16" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 16 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3779" name="B_NDVI_15" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 15 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3780" name="B_NDVI_14" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 14 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3781" name="B_NDVI_13" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 13 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3782" name="B_NDVI_12" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 12 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3783" name="B_NDVI_11" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 11 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3784" name="B_NDVI_10" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 10 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3785" name="B_NDVI_09" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 9 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3786" name="B_NDVI_08" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 8 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3787" name="B_NDVI_07" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 7 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3788" name="B_NDVI_06" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 6 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3789" name="B_NDVI_05" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 5 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3790" name="B_NDVI_04" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 4 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3791" name="B_NDVI_03" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 3 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3792" name="B_NDVI_02" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 2 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3793" name="B_NDVI_01" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 1 month before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3794" name="B_NDVI_00" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI month of survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3795" name="B_NDVI_A01" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 1 month after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3796" name="B_NDVI_A02" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 2 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3797" name="B_NDVI_A03" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 3 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3798" name="B_NDVI_A04" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 4 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3799" name="B_NDVI_A05" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 5 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3800" name="B_NDVI_A06" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 6 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3801" name="B_NDVI_A07" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 7 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3802" name="B_NDVI_A08" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 8 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3803" name="B_NDVI_A09" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 9 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3804" name="B_NDVI_A10" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 10 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3805" name="B_NDVI_A11" files="F3" dcml="0" intrvl="discrete">
      <labl>
        NDVI 11 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3806" name="B_NDVI_AVG" files="F3" dcml="0" intrvl="contin">
      <labl>
        Average monthly NDVI (January - December)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_AVG consists of a set of 12 variables. These variables report the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster during each calendar month (January through December), averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. NDVI values range from 0 to 1. 
  
By adding NDVI_AVG to your data cart, you are in effect adding 12 separate variables (NDVI_JAN - NDVI_DEC), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        NDVI_AVG variables are numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3807" name="B_NDVI_JAN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average January NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JAN reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during January, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3808" name="B_NDVI_FEB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average February NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_FEB reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during February, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3809" name="B_NDVI_MAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average March NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_MAR reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during March, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3810" name="B_NDVI_APR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average April NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_APR reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during April, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3811" name="B_NDVI_MAY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average May NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_MAY reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during May, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3812" name="B_NDVI_JUN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average June NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JUN reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during June, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3813" name="B_NDVI_JUL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average July NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JUL reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during July, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3814" name="B_NDVI_AUG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average August NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_AUG reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during August, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3815" name="B_NDVI_SEP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average September NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_SEP reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during September, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3816" name="B_NDVI_OCT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average October NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_OCT reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during October, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3817" name="B_NDVI_NOV" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average November NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_NOV reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during November, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3818" name="B_NDVI_DEC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average December NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_DEC reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during December, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3819" name="B_PRECIP" files="F3" dcml="0" intrvl="contin">
      <labl>
        Precipitation monthly time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP consists of a set of 72 separate variables. These variables report the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. 
 
By adding PRECIP to your data cart, you are in effect adding 72 separate variables:

The 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., PRECIP_01 is the average precipitation in the month before the survey start date; PRECIP_60 is the average precipitation in the 60th month before the survey start date).
The month of the survey start date (PRECIP_00)
The 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., PRECIP_A01 is the average precipitation in the month following the month of the survey start date).
 

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        PRECIP variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3820" name="B_PRECIP_60" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 60 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3821" name="B_PRECIP_59" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 59 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3822" name="B_PRECIP_58" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 58 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3823" name="B_PRECIP_57" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 57 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3824" name="B_PRECIP_56" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 56 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3825" name="B_PRECIP_55" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 55 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3826" name="B_PRECIP_54" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 54 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3827" name="B_PRECIP_53" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 53 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3828" name="B_PRECIP_52" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 52 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3829" name="B_PRECIP_51" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 51 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3830" name="B_PRECIP_50" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 50 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3831" name="B_PRECIP_49" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 49 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3832" name="B_PRECIP_48" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 48 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3833" name="B_PRECIP_47" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 47 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3834" name="B_PRECIP_46" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 46 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3835" name="B_PRECIP_45" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 45 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3836" name="B_PRECIP_44" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 44 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3837" name="B_PRECIP_43" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 43 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3838" name="B_PRECIP_42" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 42 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3839" name="B_PRECIP_41" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 41 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3840" name="B_PRECIP_40" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 40 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3841" name="B_PRECIP_39" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 39 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3842" name="B_PRECIP_38" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 38 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3843" name="B_PRECIP_37" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 37 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3844" name="B_PRECIP_36" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 36 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3845" name="B_PRECIP_35" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 35 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3846" name="B_PRECIP_34" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 34 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3847" name="B_PRECIP_33" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 33 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3848" name="B_PRECIP_32" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 32 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3849" name="B_PRECIP_31" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 31 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3850" name="B_PRECIP_30" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 30 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3851" name="B_PRECIP_29" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 29 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3852" name="B_PRECIP_28" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 28 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3853" name="B_PRECIP_27" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 27 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3854" name="B_PRECIP_26" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 26 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3855" name="B_PRECIP_25" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 25 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3856" name="B_PRECIP_24" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 24 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3857" name="B_PRECIP_23" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 23 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3858" name="B_PRECIP_22" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 22 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3859" name="B_PRECIP_21" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 21 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3860" name="B_PRECIP_20" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 20 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3861" name="B_PRECIP_19" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 19 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3862" name="B_PRECIP_18" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 18 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3863" name="B_PRECIP_17" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 17 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3864" name="B_PRECIP_16" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 16 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3865" name="B_PRECIP_15" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 15 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3866" name="B_PRECIP_14" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 14 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3867" name="B_PRECIP_13" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 13 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3868" name="B_PRECIP_12" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 12 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3869" name="B_PRECIP_11" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 11 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3870" name="B_PRECIP_10" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 10 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3871" name="B_PRECIP_09" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 9 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3872" name="B_PRECIP_08" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 8 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3873" name="B_PRECIP_07" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 7 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3874" name="B_PRECIP_06" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 6 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3875" name="B_PRECIP_05" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 5 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3876" name="B_PRECIP_04" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 4 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3877" name="B_PRECIP_03" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 3 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3878" name="B_PRECIP_02" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 2 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3879" name="B_PRECIP_01" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 1 month before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3880" name="B_PRECIP_00" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation month of survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3881" name="B_PRECIP_A01" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 1 month after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3882" name="B_PRECIP_A02" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 2 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3883" name="B_PRECIP_A03" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 3 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3884" name="B_PRECIP_A04" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 4 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3885" name="B_PRECIP_A05" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 5 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3886" name="B_PRECIP_A06" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 6 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3887" name="B_PRECIP_A07" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 7 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3888" name="B_PRECIP_A08" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 8 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3889" name="B_PRECIP_A09" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 9 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3890" name="B_PRECIP_A10" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 10 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3891" name="B_PRECIP_A11" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 11 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3892" name="B_PRECIP_AVG" files="F3" dcml="0" intrvl="contin">
      <labl>
        Average monthly precipitation (January - December)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_AVG consists of a set of 12 separate variables. These variables report the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location, during each calendar month (January through December), averaged over the 1981-2016 timeframe.

By adding PRECIP_AVG to your data cart, you are in effect adding 12 separate variables (PRECIP_JAN - PRECIP_DEC), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        PRECIP_AVG variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3893" name="B_PRECIP_JAN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average January precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JAN reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during January, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3894" name="B_PRECIP_FEB" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average February precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_FEB reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during February, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3895" name="B_PRECIP_MAR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average March precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_MAR reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during March, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3896" name="B_PRECIP_APR" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average April precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_APR reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during April, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3897" name="B_PRECIP_MAY" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average May precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_MAY reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during May, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3898" name="B_PRECIP_JUN" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average June precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JUN reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during June, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3899" name="B_PRECIP_JUL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average July precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JUL reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during July, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3900" name="B_PRECIP_AUG" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average August precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_AUG reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during August, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3901" name="B_PRECIP_SEP" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average September precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_SEP reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during September, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3902" name="B_PRECIP_OCT" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average October precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_OCT reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during October, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3903" name="B_PRECIP_NOV" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average November precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_NOV reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during November, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3904" name="B_PRECIP_DEC" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average December precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_DEC reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during December, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3905" name="B_PRECIP_ANNUAL" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Average Annual precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_ANNUAL reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location annually, averaged over the 1981-2016 timeframe. 

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3906" name="B_POPDENSITY" files="F3" dcml="0" intrvl="contin">
      <labl>
        Population density quinquennial time-series (2000-2020)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY consists of a set of 5 variables. These variables report the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000, 2005, 2010, 2015, and 2020. POPDENSITY variables are available for every IPUMS-DHS sample with GPS data. POPDENSITY variables can be used as indicators of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY are based on population projections from the results of the 2000 and 2010 rounds of censuses.
 
By adding POPDENSITY to your data cart, you are in effect adding 5 separate variables (POPDENSITY_2000 - POPDENSITY_2020), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <codInstr>
        POPDENSITY variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3907" name="B_POPDENSITY_2000" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Population density 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2000 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2000 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2000 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2000  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3908" name="B_POPDENSITY_2005" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Population density 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2005 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2005. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2005 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2005 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2005  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3909" name="B_POPDENSITY_2010" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Population density 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2010 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2010. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2010 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2010 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2010  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3910" name="B_POPDENSITY_2015" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Population density 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2015 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2015. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2015 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2015 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2015  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3911" name="B_POPDENSITY_2020" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Population density 2020
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2020 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2020. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2020 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2020 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY_2020 are based on population projections from the results of the 2010 round of censuses, which occurred between 2005 and 2014.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2020  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3912" name="B_BATTLES" files="F3" dcml="0" intrvl="contin">
      <labl>
        Battles annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BATTLES consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of battles within a 10 kilometer circular buffer around each DHS cluster location, by year. BATTLES data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding BATTLES to your data cart, you are in effect adding 20 separate variables (BATTLES_1997 - BATTLES_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        BATTLES variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3913" name="B_BATTLES_1997" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3914" name="B_BATTLES_1998" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3915" name="B_BATTLES_1999" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3916" name="B_BATTLES_2000" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3917" name="B_BATTLES_2001" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3918" name="B_BATTLES_2002" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3919" name="B_BATTLES_2003" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3920" name="B_BATTLES_2004" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3921" name="B_BATTLES_2005" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3922" name="B_BATTLES_2006" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3923" name="B_BATTLES_2007" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3924" name="B_BATTLES_2008" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3925" name="B_BATTLES_2009" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3926" name="B_BATTLES_2010" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3927" name="B_BATTLES_2011" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3928" name="B_BATTLES_2012" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3929" name="B_BATTLES_2013" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3930" name="B_BATTLES_2014" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3931" name="B_BATTLES_2015" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3932" name="B_BATTLES_2016" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3933" name="B_RIOTS" files="F3" dcml="0" intrvl="contin">
      <labl>
        Riots annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RIOTS consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of riots or protests within a 10 kilometer circular buffer around each DHS cluster location, by year. RIOTS data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding RIOTS to your data cart, you are in effect adding 20 separate variables (RIOTS_1997 - RIOTS_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        RIOTS variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3934" name="B_RIOTS_1997" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3935" name="B_RIOTS_1998" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3936" name="B_RIOTS_1999" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3937" name="B_RIOTS_2000" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3938" name="B_RIOTS_2001" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3939" name="B_RIOTS_2002" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3940" name="B_RIOTS_2003" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3941" name="B_RIOTS_2004" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3942" name="B_RIOTS_2005" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3943" name="B_RIOTS_2006" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3944" name="B_RIOTS_2007" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3945" name="B_RIOTS_2008" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3946" name="B_RIOTS_2009" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3947" name="B_RIOTS_2010" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3948" name="B_RIOTS_2011" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3949" name="B_RIOTS_2012" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3950" name="B_RIOTS_2013" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3951" name="B_RIOTS_2014" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3952" name="B_RIOTS_2015" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3953" name="B_RIOTS_2016" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3954" name="B_CIV_VIOLENCE" files="F3" dcml="0" intrvl="contin">
      <labl>
        Violence against civilians annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CIV_VIOLENCE consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of acts of violence against civilians by an armed or violent group within a 10 kilometer circular buffer around each DHS cluster location, by year. CIV_VIOLENCE data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding CIV_VIOLENCE to your data cart, you are in effect adding 20 separate variables (CIV_VIOLENCE_1997 - CIV_VIOLENCE_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        CIV_VIOLENCE variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3955" name="B_CIV_VIOLENCE_1997" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3956" name="B_CIV_VIOLENCE_1998" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3957" name="B_CIV_VIOLENCE_1999" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3958" name="B_CIV_VIOLENCE_2000" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3959" name="B_CIV_VIOLENCE_2001" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3960" name="B_CIV_VIOLENCE_2002" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3961" name="B_CIV_VIOLENCE_2003" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3962" name="B_CIV_VIOLENCE_2004" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3963" name="B_CIV_VIOLENCE_2005" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3964" name="B_CIV_VIOLENCE_2006" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3965" name="B_CIV_VIOLENCE_2007" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3966" name="B_CIV_VIOLENCE_2008" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3967" name="B_CIV_VIOLENCE_2009" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3968" name="B_CIV_VIOLENCE_2010" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3969" name="B_CIV_VIOLENCE_2011" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3970" name="B_CIV_VIOLENCE_2012" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3971" name="B_CIV_VIOLENCE_2013" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3972" name="B_CIV_VIOLENCE_2014" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3973" name="B_CIV_VIOLENCE_2015" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3974" name="B_CIV_VIOLENCE_2016" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3975" name="B_MALARIA" files="F3" dcml="0" intrvl="contin">
      <labl>
        Malaria incidence rate annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MALARIA consists of a set of 16 separate variables, covering each year from 2000 to 2015. The variables report the mean clinical Plasmodium falciparium malaria cases per person within a 10 kilometer circular buffer around each DHS cluster location, by year. MALARIA is available for a subset of the IPUMS-DHS samples with GPS data. 
 
By adding MALARIA to your data cart, you are in effect adding 16 separate variables (MALARIA_2000 - MALARIA_2015), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Malaria  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        MALARIA variables are 4-digit numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3976" name="B_MALARIA_2000" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3977" name="B_MALARIA_2001" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3978" name="B_MALARIA_2002" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3979" name="B_MALARIA_2003" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3980" name="B_MALARIA_2004" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3981" name="B_MALARIA_2005" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3982" name="B_MALARIA_2006" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3983" name="B_MALARIA_2007" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3984" name="B_MALARIA_2008" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3985" name="B_MALARIA_2009" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3986" name="B_MALARIA_2010" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3987" name="B_MALARIA_2011" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3988" name="B_MALARIA_2012" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3989" name="B_MALARIA_2013" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3990" name="B_MALARIA_2014" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3991" name="B_MALARIA_2015" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3992" name="B_BARLEY_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area barley
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BARLEY_H reports total harvested area dedicated to barley, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in BARLEY_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3993" name="B_CASSAVA_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area cassava
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CASSAVA_H reports total harvested area dedicated to cassava, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in CASSAVA_H are based on agricultural censuses and remotely sensed imagery circa 2000. CASSAVA_H is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3994" name="B_COTTON_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area cotton
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COTTON_H reports total harvested area dedicated to cotton, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in COTTON_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3995" name="B_GROUNDNUT_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area groundnut
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GROUNDNUTS_H reports total harvested area dedicated to groundnuts, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in GROUNDNUTS_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3996" name="B_MAIZE_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area maize
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAIZE_H reports total harvested area dedicated to maize, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in MAIZE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3997" name="B_MILLET_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area millet
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MILLET_H reports total harvested area dedicated to millet, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in MILLET_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3998" name="B_OILPALM_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area oilpalm
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OILPALM_H reports total harvested area dedicated to oil palm, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in OILPALM_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3999" name="B_POTATO_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area potato
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POTATO_H reports total harvested area dedicated to potatoes, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in POTATO_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4000" name="B_RAPESEED_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rapeseed
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RAPESEED_H reports total harvested area dedicated to rapeseed, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RAPESEED_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4001" name="B_RICE_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rice
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RICE_H reports total harvested area dedicated to rice, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RICE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4002" name="B_SORGHUM_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sorghum
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SORGHUM_H reports total harvested area dedicated to sorghum, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SORGHUM_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4003" name="B_SOYBEAN_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area soybean
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOYBEANS_H reports total harvested area dedicated to soybeans, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SOYBEANS_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4004" name="B_SUGARBEET_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sugarbeet
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARBEET_H reports total harvested area dedicated to sugar beets, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARBEET_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4005" name="B_SUGARCANE_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sugarcane
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARCANE_H reports total harvested area dedicated to sugar cane, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARCANE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4006" name="B_SUNFLOWER_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sunflower
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUNFLOWER_H reports total harvested area dedicated to sunflowers, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUNFLOWER_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4007" name="B_WHEAT_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area wheat
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHEAT_H reports total harvested area dedicated to wheat, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in WHEAT_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4008" name="B_RYE_H" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rye
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RYE_H reports total harvested area dedicated to rye, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RYE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4009" name="B_BARLEY_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total barley production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BARLEY_P reports total crop production of barley, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in BARLEY_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4010" name="B_CASSAVA_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total cassava production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CASSAVA_P reports total crop production of cassava, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in CASSAVA_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4011" name="B_COTTON_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total cotton production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COTTON_P reports total crop production of cotton, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in COTTON_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4012" name="B_GROUNDNUT_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total groundnut production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GROUNDNUTS_P reports total crop production of groundnuts, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in GROUNDNUTS_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4013" name="B_MAIZE_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total maize production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAIZE_P reports total crop production of maize, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MAIZE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4014" name="B_MILLET_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total millet production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MILLET_P reports total crop production of millet, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MILLET_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4015" name="B_OILPALM_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total oilpalm production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OILPALM_P reports total crop production of oil palm, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in OILPALM_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4016" name="B_POTATO_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total potato production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POTATO_P reports total crop production of potatoes, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in POTATO_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4017" name="B_RAPESEED_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total rapeseed production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RAPESEED_P reports total crop production of rapeseed, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RAPESEED_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4018" name="B_RICE_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total rice production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RICE_P reports total crop production of rice, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RICE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4019" name="B_SORGHUM_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total sorghum production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SORGHUM_P reports total crop production of sorghum, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SORGHUM_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4020" name="B_SOYBEAN_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total soybean production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOYBEAN_P reports total crop production of soybeans, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SOYBEAN_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4021" name="B_SUGARBEET_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total sugarbeet production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARBEET_P reports total crop production of sugar beets, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARBEET_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4022" name="B_SUGARCANE_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total sugarcane production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARCANE_P reports total crop production of sugarcane, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARCANE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4023" name="B_SUNFLOWER_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total sunflower production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUNFLOWER_P reports total crop production of sunflowers, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUNFLOWER_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4024" name="B_WHEAT_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total wheat production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHEAT_P reports total crop production of wheat, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in WHEAT_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4025" name="B_RYE_P" files="F3" dcml="0" intrvl="discrete">
      <labl>
        Total rye production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RYE_P reports total crop production of rye, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RYE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4026" name="M_YEAR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Year of sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="1986" max="2016"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        YEAR reports the year when the survey was fielded, as a four-digit variable. In some cases, the DHS was conducted over the course of two years (e.g., Ethiopia 2010-2011), but YEAR always gives a single year. For full information about the timing of the surveys, please consult the IPUMS-DHS Sample Descriptions page.
      </txt>
      <catgry>
        <catValu>
          1986
        </catValu>
        <labl>
          1986
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1987
        </catValu>
        <labl>
          1987
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1988
        </catValu>
        <labl>
          1988
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1989
        </catValu>
        <labl>
          1989
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4027" name="M_DHSID" files="F4" intrvl="discrete">
      <location width="8"/>
      <labl>
        Key to link DHS clusters to context data (string)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DHSID is the 14-character DHS identification code for DHS clusters constructed from the 2-character country code, the 4-digit survey year, and the 8-digit cluster identification number. DHSID is available for every IPUMS-DHS sample and uniquely identifies clusters across samples. It serves as the unique linking key between IPUMS-DHS microdata and DHS cluster shapefiles.
      </txt>
      <codInstr>
        This is a 14-digit numeric variable with 0 implied decimal places
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4028" name="M_PSUHH" files="F4" dcml="0" intrvl="contin">
      <labl>
        Sample-specific primary sampling unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PSUHH (HV021) indicates the  primary sampling unit  for household members. This variable should be used along with the variable DOMAINHH (HV023) to account for the impact of the sample design clustering on variance estimates and standard errors. 

The DHS Recode Manuals for Phase 2 forward describe the primary sampling unit as follows:

 Primary sampling unit is a number assigned to sample points to identify the primary sampling units for use in the calculation of sampling errors. This variable is usually the same as the cluster number and/or the ultimate area unit, but may differ if the sample design required a multistage selection process.

See the notes on DHS webpage "Using sample weights" [URL omitted from DDI.] on variance estimation for additional information.]]>
      </txt>
      <codInstr>
        PSUHH (HV021) is a 5-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4029" name="M_STRATAHH" files="F4" dcml="0" intrvl="contin">
      <labl>
        Sample-specific sampling strata
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[STRATAHH (HV022) defines the pairings or groupings of primary sampling units used in the calculation of sampling errors when using the Taylor series expansion method. 

In two-stage sampling, The DHS Program may first group small geographic areas, such as enumeration areas from the last census, into broad strata defined jointly by region and urban versus rural areas within a region. In the second stage of sampling, a subset of geographic areas (sample clusters) are selected as the sites for interviewing from within defined strata. 

The STRATAHH variable is not the same as DOMAINHH (HV023). (Domains represent statistically representative areas for which valid summary statistics can be calculated for a survey, such as provinces and national urban versus rural combined areas, as described in the survey's final report.) The DHS Program recommends using STRATAHH along with the variable PSUHH (HV021) to account for the impact of the sampling design clustering on estimates of variance and standard errors.

Users are strongly encouraged to review the FAQ section provided by The DHS Program on specifying stratification and clustering here [URL omitted from DDI.], using Stata or SPSS to account for sample design.]]>
      </txt>
      <codInstr>
        STRATAHH (HV022) is a 3-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4030" name="M_DOMAINHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Sample-specific domain
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DOMAINHH (HV023) defines the basic geographic units for which the sample was designed to yield representative estimates. 

The DHS Recode Manual describes DOMAINHH as follows:

 For example, if the sample was designed to be self-weighting within region, this variable would define those regions; if the sample was designed to be self-weighting within major urban areas, other urban areas and rural areas, this variable would define the major urban, other urban and rural areas. If the sample is self-weighted at the national level, this variable is code 0.

When representative estimates are desired, users should include survey design variables, including DOMAINHH (HV023) and PSUHH (HV021), and the correct sample weights (e.g., HHWEIGHT (HV005)) to adjust sampling errors to account for the DHS Program's sample design.

In most countries, DOMAINHH defines the stratification for the sample (generally either regional or national).  However, some countries use two levels of stratification, such as region and urban/rural areas.  Users should check for the correct stratification design by consulting the Final Report(s) for the sample(s) of interest (particularly the Introduction and Sample Design sections and Implementation Appendix).]]>
      </txt>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4031" name="M_HHNUMALL" files="F4" dcml="0" intrvl="contin">
      <labl>
        Household number in cluster
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHNUMALL (HV002) is the number identifying the household within the cluster or sample point. In some cases, this variable may be the combination of the dwelling number and the household number within the dwelling.

To uniquely identify households in most samples, researchers must use HHNUMALL with CLUSTERNOALL (HV001).]]>
      </txt>
      <codInstr>
        HHNUMALL is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4032" name="M_CLUSTERNOALL" files="F4" dcml="0" intrvl="contin">
      <labl>
        Sample-specific cluster number
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CLUSTERNOALL (HV001) reports the cluster number for the household member's de facto residence.

According to the DHS Sampling Manual, "A cluster is the smallest geographical survey statistical unit for DHS surveys. It consists of a number of adjacent households in a geographical area. For DHS surveys, a cluster corresponds either to an [enumeration area], or a segment of a large [enumeration area]."  The most recent census for a country, which divided all territory into enumeration areas to ensure full coverage of the population, often provides the sampling frame for a DHS survey.
 
CLUSTERNOALL is the variable indicating the  primary sampling unit  or PSU. CLUSTERNOALL should be used along with the variable STRATAHH (HV022) to account for the impact of sample design clustering on the estimates of variance and standard errors. 

See the notes on DHS webpage  "Use sample weights" [URL omitted from DDI.] on variance estimation for additional information.

CLUSTERNOALL (HV001) and HHNUMALL (HV002) can be used to merge the household member recode file to the women's individual recode file.  See the DHS webpage  Merging Datasets [URL omitted from DDI.] on variables to be used for linking data sets.]]>
      </txt>
      <codInstr>
        CLUSTERNOALL is an 8 digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4033" name="M_ULTAREAUNITALL" files="F4" dcml="0" intrvl="contin">
      <labl>
        Sample-specific ultimate area unit
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ULTAREAUNITALL (HV004) is a number assigned to each sample point to identify the ultimate area units used in the collection of data. This variable is usually the same as the cluster number [CLUSTERNOALL (HV001)], but it may be a sequentially-numbered variable for samples with a more complicated sampling structure.

ULTAREAUNITALL can be used to account for the effects of sampling design clustering on variance estimates and standard errors.]]>
      </txt>
      <codInstr>
        ULTAREAUNITALL (HV004) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4034" name="M_HHLINENO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Line number in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="80"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHLINENO (HVIDX) reports the line number of the household member in the household schedule.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4035" name="M_LINENOHHRESP" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Respondent's line number (answering Household questionnaire)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LINENOHHRESP (HV003) reports the line number in the household schedule of the person responding to the questions asked in the household questionnaire. If nobody in the household was available for the interview, this variable is coded "00."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Identifiers Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4036" name="M_HHWEIGHT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Household sample weight (6 decimals)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHWEIGHT (HV005) is an 8-digit numeric variable, which should be used as a weighting factor to produce representative numbers accurately describing the surveyed population, when household members are the unit of analysis.

Note: For researchers using a flat data file (.dat), HHWEIGHT contains 6 implied decimal places, and researchers should divide this variable by 1,000,000 before applying it as a weighting factor. For all other data formats, HHWEIGHT has already been adjusted, and researchers do not need to make any changes before using this variable.]]>
      </txt>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4037" name="M_POPWT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Population factor weight
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        POPWT is a population adjustment factor created by IPUMS to generate count estimates of household members for samples that are nationally representative. See our documentation [URL omitted from DDI.] for more information about how POPWT was created.
      </txt>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4038" name="M_ELIGFEMNO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of eligible women in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ELIGFEMNO (HV010) reports the number of women in the household who are eligible for the individual survey (for women of childbearing age). The selection criteria for eligibility are usually women age 15 to 49. In some countries, the selection criteria are further restricted to ever-married women.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4039" name="M_ELIGFEMINT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Eligibility for female interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ELIGFEMINT (HV117) indicates whether the household member is eligible for the individual women's survey (i.e., those who could be part of the individual recode [IR] file). 

According to the DHS recode manuals:
 In most surveys, both de facto and non-de facto women are interviewed; however, women are included in the individual recode only if they were eligible for the interview and were de facto members of the household. (A few surveys use a de jure sample, and the above selection does not apply in those countries.)]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not eligible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Eligible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4040" name="M_ELIGMALNO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of eligible men in household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="18"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ELIGMALNO (HV011) reports the number of men in the household who are eligible for the men's or husband's survey. The selection criteria for eligibility are country-specific.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4041" name="M_ELIGMALEINT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Eligible for men's survey
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ELIGMALEINT (HV118) indicates whether the household member is eligible for the individual men's survey.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not eligible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Eligible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4042" name="M_HHMWEIGHT" files="F4" dcml="6" intrvl="discrete">
      <labl>
        Household weight for male subsample (6 decimals)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="0"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHMWEIGHT (HV028) is an 8-digit numeric variable, which should be used as a weighting factor for the subset of households that were randomly selected for the men's or husband's survey. HHMWEIGHT should be used to weight all estimates produced using the households selected for the men's or husband's survey. For households not included in the men's or husband's survey, HHMWEIGHT is set to zero. 

Note: For researchers using a flat data file (.dat), HHMWEIGHT contains 6 implied decimal places, and researchers should divide this variable by 1,000,000 before applying it as a weighting factor. For all other data formats, HHMWEIGHT has already been adjusted, and researchers do not need to make any changes before using this variable.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4043" name="M_ADULTSMEASNO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total adults eligible for measurement
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="34"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ADULTSMEASNO (HV041) reports the number of adults (women and men) in the household who are eligible for height and weight measurements.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4044" name="M_ELIGKIDNO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of eligible children for height and weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="22"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ELIGKIDNO (HV035) reports the number of child household members under age 5 who are eligible for height and weight measurement.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4045" name="M_ELIGKIDHW" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Children eligibility for height/weight and hemoglobin
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ELIGKIDHW (HV120) indicates whether the household member is eligible for the children's height, weight, and hemoglobin measurements.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not eligible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Eligible
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Eligible, child of interviewed mother
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Eligible, de facto in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4046" name="M_HHEADLINENO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Line number of the head of household
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHEADLINENO (HV218) reports the line number of the head of the household. According to the DHS recode manual:

This should always be 01; however, there are some households in certain surveys in which the head of household has not been listed as the first person in the household listing.

To determine the proportion of households (rather than persons in households) with a given characteristic (e.g., the share of households with electricity), researchers should restrict the sample of household members to one representative per household.  Such restriction can be done by selecting only persons with line number 01 in the household roster (using HHLINENO) or selecting only persons coded as head of household in HHRELATE).  HHEADLINENO demonstrates that these two criteria usually but not always identify the same person as a representative of the household.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4047" name="M_HHEMOSELEC" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Household selected for hemoglobin
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHEMOSELEC (HV042) indicates whether the household was selected for hemoglobin measurements of the household members. 

Hemoglobin is a protein in the red blood cells that carries oxygen from the lungs to the organs and tissues and transports carbon dioxide back to the lungs. Low hemoglobin levels indicate the presence of anemia (which may be caused by inadequate nutrition or chronic disease).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not selected
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Selected
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Weights and subsample selection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4048" name="M_HHINTYR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Year of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1990" max="2016"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHINTYR (HV007) reports the year the interview took place. 

The dates reported in HHINTYR are based on the Gregorian calendar.]]>
      </txt>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4049" name="M_HHINTMO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Month of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHINTMO (HV006) reports the month when the interview took place, according to the Gregorian calendar.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4050" name="M_HHINTDAY" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Day of interview
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="31"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHINTDAY (HV016) reports the day of the month on which the interview took place. HHINTDAY uses dates expressed in the Gregorian calendar.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4051" name="M_HHINTCMC" files="F4" dcml="0" intrvl="contin">
      <labl>
        Date of interview (CMC)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHINTCMC (HV008) reports the century month code for the date on which the interview took place.

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].

The century month codes reported in HHINTCMC are calculated using the Gregorian calculator.]]>
      </txt>
      <codInstr>
        HHINTCMC (HV008) is a 4-digit variable.
      </codInstr>
      <concept vocab="IPUMS">
        Survey dates Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4052" name="M_VISITNO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of visits by interviewer
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        VISITNO (HV017) reports the number of visits by an interviewer required to complete the interview.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4053" name="M_HHMEMBERS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of household members
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="80"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHMEMBERS (HV009) reports the number of household members in the household.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4054" name="M_DEJURENO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of de jure members
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="80"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DEJURENO (HV012) reports the total number of de jure household members, or the number of household members who usually live in the household (i.e., excluding visitors).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4055" name="M_DEFACTONO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of de facto members
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="77"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        DEFACTONO (HV013) reports the total number of de facto household members, or the number of household members who slept in the household the previous night, including visitors.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4056" name="M_KIDLT5NO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of children 5 and under (de jure)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="24"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        KIDLT5NO (HV014) reports the number of children under age 5 in the household (de jure).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4057" name="M_EVMARHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Ever-married sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EVMARHH (HV020) indicates whether the sample includes only ever-married women or includes all women of childbearing age.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          All woman sample
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Ever-married sample
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General technical Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4058" name="M_URBANHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Urban-rural status
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        URBANHH (HV025) indicates whether the household member's de facto place of residence (i.e., where the person actually was at the time of the survey) was in an urban or rural location.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Geography, general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4059" name="M_GEO_MW1992_2016" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malawi regions, 1992-2016 [integrated; GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO_ MW1992_2016 indicates the region of Malawi where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

Labels identify the modern geographic units (regions) contained in each integrated region. Each sample also has its own non-integrated geography variable. An additional integrated variable, GEOALT_MW2010_2016, does not include the 1992, 2000, or 2004 Malawi samples but contains greater geographic detail (districts).

An integrated GIS map (in shapefile format) for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Integrated geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4060" name="M_GEOALT_MW2010_2016" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malawi districts, 2010-2016 [integrated; GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="313"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEOALT_ MW2010_2016 indicates the region of Malawi where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

DHS regions in GEOALT_ MW2010_2016 are equivalent to districts. Each sample also has its own non-integrated geography variable. An additional integrated variable, GEO_MW1992_2016, includes the 1992, 2000, and 2004 Malawi samples and contains less geographic detail (regions).

An integrated GIS map (in shapefile format) for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Chitipa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Nkhatabay and Likoma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Rumphi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Mzimba and Mzuzu City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Kasungu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Nkhota kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Ntchisi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Dowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Salima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Lilongwe and Lilongwe City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Mchinji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Dedza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Ntcheu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Mangochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Machinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Zomba and Zomba City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Chradzulu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Blantyre and Blantyre City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Thyolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Mulange
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Phalombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Chikwawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Ndanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Balaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Neno
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Integrated geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4061" name="M_GEO_MW2010" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malawi regions, 2010 [GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEO_MW2010 (V101_MW2010) indicates the region of Malawi where the respondent was interviewed. DHS units in the 2010 Malawi survey are equivalent to regions.

Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_MW1992_2016, that provides spatially consistent units over time. Greater geographic detail for the Malawi 2010 sample can be found in GEOALT_MW2010.

A GIS map for GEO_MW2010 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Single sample geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4062" name="M_GEOALT_MW2010" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malawi districts, 2010 [GIS]
      </labl>
      <valrng>
        <range UNITS="REAL" min="101" max="313"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GEOALT_MW2010 indicates the region of Malawi where the respondent was interviewed. DHS regions in GEOALT_MW2010 are equivalent to districts. 

Other sample years have their own sample-specific geography variables.  There is also an integrated variable GEOALT_MW2010_2016 that provides spatially consistent units over time. Lesser geographic detail for the Malawi 2010 sample can be found in GEO_MW2010. An additional integrated variable, GEO_MW1992_2016, provides spatially consistent units over time with less geographic detail.

A GIS map for GEOALT_MW2010 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.]]>
      </txt>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Chitipa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Nkhatabay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Rumphi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Mzimba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Kasungu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Nkhota kota
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Ntchisi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Dowa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Salima
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Lilongwe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Mchinji
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Dedza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Ntcheu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Mangochi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Machinga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Zomba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Chiradzulu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Blantyre
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Mwanza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          Thyolo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Mulanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Phalombe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Chikwawa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Nsanje
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Balaka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Neno
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Single sample geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4063" name="M_DHS_IPUMSI_MW" files="F4" dcml="0" intrvl="discrete">
      <labl>
        DHS-IPUMS-I Malawi regions, 1987-2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DHS_IPUMSI_ MW provides geographic codes for Malawi that match those in the DHS and IPUMS-International  [URL omitted from DDI.] databases. This variable can be used to link contextual area data from IPUMS-DHS to IPUMS-International or vice versa. The codes in DHS_IPUMSI_MW indicate the major administrative unit in which the household was enumerated or surveyed.

GIS shapefiles for Malawi can be downloaded here [URL omitted from DDI.].]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Northern
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Central
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Southern
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        IPUMS International geography Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4064" name="M_SEX" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Sex of household member
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SEX (HV104) reports the sex of the household member, as given by the respondent for the household questionnaire.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4065" name="M_HHAGE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Age of household member
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHAGE (HV105) reports the household member's age, as given by the respondent for the household questionnaire.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4066" name="M_AGEIND" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Corrected age from individual file
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGEIND (HML16) reports the household member's age as reported in the individual questionnaire (for women of childbearing age) or the men's questionnaire. 

Reporting of one's own age or one's young children's ages is presumably more accurate than the age reporting for all household members done by the respondent for the household survey (whose results are given in HHAGE (HV105)).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4067" name="M_AGEFLAGIND" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Flag for age from individual data
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGEFLAGIND (HML17) reports the completeness of the information about the household member's age, as collected on the individual, rather than household, questionnaire. Code 1 indicates that complete information was reported, and no imputation was required. Code 0 indicates that no information on the household member's age was available from an individual questionnaire (for example, for women past childbearing age). 

The complementary variable AGEIND (HML16) reports the age of the person, based on information collected through the individual questionnaire. 

The related variable HHAGE (HV105) reports age for all household members (including those not covered by an individual or men's questionnaire), as given by the respondent to the household survey.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No data from individual questionnaire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Month and age, year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year and age, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Year and age, year ignored
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Year, age and moth imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Age - year and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Month - age and year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          None - all imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4068" name="M_PREGNANTIND" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Pregnancy status from individual file
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PREGNANTIND (HML18) indicates whether, according to the individual questionnaire, the household member is currently pregnant.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not pregnant, don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Pregnant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4069" name="M_HHRESIDENT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Usual resident or visitor
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHRESIDENT (HV102) indicates whether the household member is a usual resident of the household or is just visiting. As defined by the HHRESIDENT variable, a visitor could potentially reside in the city, town, or village where the interview took place, but would have answered "No" to the question, "Does (NAME) usually live here [in this dwelling unit]?" on the household questionnaire.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Usual resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Visitor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4070" name="M_HHSLEPT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Slept last night in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHSLEPT (HV103) indicates whether the household member is a de facto member of the household, in terms of whether the individual slept in the household the previous night.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4071" name="M_HHRELATE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Relationship to household head
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HHRELATE (HV101) reports the household member's relationship to the head of the household/householder.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wife or husband
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son/daughter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Son/daughter-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Grandchild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Parent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Parent-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Brother/sister
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Co-spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Adopted/foster/step child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Brother/sister-in-law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Aunt/uncle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Niece/nephew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Niece/nephew by blood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Niece/nephew by marriage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other relative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Not related
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Domestic servant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Herdboy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4072" name="M_MOTHERALIVE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Mother alive
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under a cut-off age (varying across samples), MOTHERALIVE (HV111) indicates whether the person's mother is still alive.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4073" name="M_MOTHERLINENO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Mother's line number
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under a cut-off age (varying across samples), MOTHERLINENO (HV112) reports the household line number of the person's (co-resident) mother. A code of zero indicates the mother does not live in the same household as the child.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Mother not in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4074" name="M_FATHERALIVE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Father alive
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under a cut-off age (varying across samples), FATHERALIVE (HV113) indicates whether the person's father is still alive.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4075" name="M_FATHERLINENO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Father's line number
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under a specified age (varying across samples), FATHERLINENO (HV114) reports the household line number of the person's (co-resident) father. A code of zero indicates the father does not live in the same household as the child.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4076" name="M_SICK3MO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Member very sick for 3 months or more in last year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For adult, non-elderly household members (age 18-59), SICK3MO (HV130) indicates whether the person has been very sick for 3 months or more in the last year.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4077" name="M_MASICK3MO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Mother very sick for 3 months or more in last year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MASICK3MO (HV131) indicates whether the person's mother has been very sick for 3 months or more in the last year.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4078" name="M_PASICK3MO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Father very sick for 3 months or more in last year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        PASICK3MO (HV132) indicates whether the person's father has been very sick for 3 months or more in the last year.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4079" name="M_PARENTSICKDEAD" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Mother/father dead or been very sick for 3+ months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under a cut-off age, PARENTSICKDEAD (HV133) indicates whether either of the person's parents have died or have been very sick for 3 or more months.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4080" name="M_HHEADAGEHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Age of household head (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHEADAGEHH (HV220) reports the age of the head of the household.

The information in HHEADAGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4081" name="M_HHEADSEXHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Sex of household head (from hh record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHEADSEXHH (HV219) reports the sex of the head of the household.

The information in HHEADSEXHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4082" name="M_FAMSTRUCTR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Relationship structure in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FAMSTRUCTR (HV217) indicates the relationship structure (no adults, one adult, two related adults of the opposite sex, two related adults of the same sex, three or more related adults, or unrelated adults) in the household. Only usual (de jure) household members aged 15 and over are considered in determining the household's relationship structure. FAMSTRUCTR is a constructed variable, based on information about each household member's age, sex, and relationship to the householder, which was collected when completing the listing of persons in the household at the time of the survey.

The information in FAMSTRUCTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          One adult
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Two adults, opp sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Two adults, same sex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Three plus related adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unrelated adults
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4083" name="M_HHDEATHYR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Member of HH died in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHDEATHYR (HV249) indicates whether any member of the household died in the 12 months before the survey.

The information in HHDEATHYR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4084" name="M_HHDEATHYRNO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of HH members who died in last 12 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHDEATHYRNO (HV250) indicates the number of household members who died in the 12 months before the survey.

The information in HHDEATHYRNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4085" name="M_SICKADULTNO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of sick people age 18 to 59 in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SICKADULTNO (HV248) reports the number of sick people age 18-59 in the household.

The information in SICKADULTNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4086" name="M_HHORPHANNO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of orphans and vulnerable children in HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="96"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHORPHANNO (HV251) indicates the number of orphans and vulnerable children in the household.

The information in HHORPHANNO is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Core demographic Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4087" name="M_HHCURRMARR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Currently, formerly, never married
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHCURRMARR (HV116) reports the household member's marital/union status as "Never married," "Currently married," or "Formerly married."

"Never married" includes household members who have never lived with a partner. "Currently married" includes household members who are married and those who are not formally married but are living with a partner. "Formerly married" includes household members who are widowed, divorced, separated, or who have formerly lived with a partner.

In samples where the only question asked relates to whether the household member has ever been married (not cohabiting), the responses are coded "10" for "Ever-married" and "0" for "Never married."]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Ever married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Currently married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Formerly married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Marriage and cohabitation Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4088" name="M_SLEEPROOMS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of rooms in HH used for sleeping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SLEEPROOMS (HV216) reports the number of rooms in the household used for sleeping.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4089" name="M_WALL" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Main material of outside walls of dwelling
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        WALL (HV214) reports the main material of the outside walls of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No walls
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Cane/palm/trunks/grass/sticks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Cane/palm/trunks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Cane/trunks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Cane/trunks/bamboo/reeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Palm branches
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Sticks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Shells
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Earth/mud/dirt/dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Unbaked brick, mud, or earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Mud, dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Dirt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Hay with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          127
        </catValu>
        <labl>
          Animal dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Thatch/mat/leaves/straw/reeds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Thatch or straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Bamboo with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Bamboo/wood with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Stone with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Rough wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Plywood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Reused wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Timber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Wood/metal planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Poles and mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Trunks with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Tin/cardboard/paper/bags
        </labl>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Cardboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Carton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Uncovered adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Corrugated metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          Canvas/tent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Unburnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Unburnt brick and plaster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Unburnt brick with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Semi-dur (cement and sand blocks)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Finished/burnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Burnt bricks with mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Burnt bricks with cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Sundried bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Cement blocks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Wood planks/shingles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Wood and grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Stone with lime/cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Covered adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Other finished
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Metal or asbestos sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          T-iron/wood/brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          Iron or zinc sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          Corrugated asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Metal, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4090" name="M_FLOOR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Main material of floor
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        FLOOR (HV213) reports the main material of the floor of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Earth-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Earth, sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Earth, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Earth, mud, clay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Dirt/Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Mud and hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Dung-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Earth and dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Mud, dung, sand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Wood planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Wood and tile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Wood/palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Palm/bamboo/leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Other rudimentary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Broken bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Adobe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unfinished stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Parquet/polished wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Polished wood/vinyl/tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Vinyl/asphalt strips/linoleum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Linoleum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Vinyl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Tiles/mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Ceramic tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Cement tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Ceramic/terrazo tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Ceramic/marble tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Tiles/brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Carpet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Mat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Terrazzo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Other finished
        </labl>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          Plaster
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4091" name="M_ROOF" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Main material of roof
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ROOF (HV215) reports the main material of the roof of the dwelling. Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials). See Comparability.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No roof
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          NATURAL
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Thatch/palm leaf/grass/makuti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Thatch/palm leaf
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Grass, thatch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Grass, thatch, makuti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Thatch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Thatch/mat/leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Leaves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Grass/leaves/mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Sticks/sticks with mud or dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Earth
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Dung, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Earth, mud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Sod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          125
        </catValu>
        <labl>
          Sod/mud and grass mixture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          126
        </catValu>
        <labl>
          Mud and hay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          RUDIMENTARY
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Rustic mat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Rustic mat, plastic sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Plastic/polythene sheet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Palm/bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Palm, bamboo, grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Reed, bamboo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Wood planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Wooden tiles, planks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Wood, mulch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          Cardboard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          Rudimentary - metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Tin cans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Iron sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Other rudimentary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Mobile roofs of nomads
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Skin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          FINISHED
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Metal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Metal, zinc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Corrugated metal sheet, asbestos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Corrugated iron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Tin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Asbetos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Cement/concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Reinforced brick cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Ceramic tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Iron and tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Tiles/slate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Mud tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Ceramic tiles, harvey (steel) tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Calamine/cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Asbestos, cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Zinc/cement fiber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Roofing shingles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Unburnt bricks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Burnt brick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Loosely packed stone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          Stone slabs
        </labl>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          Slate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4092" name="M_ELECTRCHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Dwelling has electricity (from hh record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ELECTRCHH (HV206) indicates whether the household has electricity. Samples vary in how that information was collected.

The information in ELECTRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4093" name="M_COOKFUEL" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Type of fuel household uses for cooking
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COOKFUEL (HV226) reports the type of fuel the woman's household used for cooking.
Response categories vary across surveys; see Comparability.

The information in COOKFUEL is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Petroleum-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Gasoline
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          LPG, natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          LPG (liquefied petroleum gas)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Natural gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Bottled gas (butane or propane)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Biogas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Coal-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Coal, lignite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Coal, coke, lignite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Wood- or grass-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Firewood, straw
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Straw, shrub, grass
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Agricultural crop-based
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Crop residues
        </labl>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Maize or other crop waste
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Jelly
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Solar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          No food cooked in house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4094" name="M_KITCHEN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Household has separate room for kitchen
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[KITCHEN (HV242) indicates whether the household has a separate room used as a kitchen.

The information in KITCHEN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4095" name="M_COOKHOW" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Whether food is cooked on open or closed heat source
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For women in households where electricity or gas was not used for fuel, COOKHOW (HV239) indicates whether food was cooked on an open heat source (such as an open hire or open stove) or on a closed heat source (such as a closed stove with chimney).  

Cooking over an open fire produces indoor air pollution associated with lung diseases such as asthma, pneumonia, and chronic obstructive pulmonary disease.

The degree of detail in responses varies across surveys; see Comparability.

The information in COOKHOW is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Open heat source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Open fire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Open stove
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Open fire or stove without chimney/hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Open fire or stove with chimney/hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Closed heat source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Closed stove with chimney
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Stove, unspecified
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4096" name="M_CHIMHOOD" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH fire or stove has chimney or hood
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHIMHOOD (HV240) indicates whether households that cook with an open fire or stove have a chimney or hood for ventilation. 

The information in CHIMHOOD is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Neither chimney nor hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Chimney
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Hood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4097" name="M_COOKWHERE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Where cooking is usually done
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COOKWHERE (HV241) reports whether food for the household was cooked inside the dwelling unit, in a separate building, or outdoors.  

If cooking is done over an open fire, then household members' exposure to indoor air pollution (and associated risk of respiratory diseases) is greatest when cooking is done in the house, rather than in a separate building or outdoors.

The information in COOKWHERE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          In the house
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          In a separate building
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Outdoors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Housing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4098" name="M_TOILETTYPE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Type of toilet facility
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TOILETTYPE (HV205) reports the household's type of toilet facility, with no facility coded "0."  Responses vary widely across surveys; see Comparability.

The information in TOILETTYPE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No facility
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          FLUSH TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Unspecified type of flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Own flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1112
        </catValu>
        <labl>
          Outside residence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Shared flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1121
        </catValu>
        <labl>
          Public flush toilet (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Modern flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Flush to piped sewer system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Flush to pipe connected to canal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Flush to pipe connected to ground water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1213
        </catValu>
        <labl>
          Flush, not to sewer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1214
        </catValu>
        <labl>
          Flush to septic tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1300
        </catValu>
        <labl>
          Traditional with tank flush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1400
        </catValu>
        <labl>
          Bucket flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1410
        </catValu>
        <labl>
          Flush to pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1420
        </catValu>
        <labl>
          Flush to somewhere else
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1430
        </catValu>
        <labl>
          Flush, don't know where
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          NON-FLUSHING TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Composting toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Dry toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Ecosan toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          PIT TOILET LATRINE
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Unspecified type of pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Own pit toilet or latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Shared pit toiletor latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3121
        </catValu>
        <labl>
          Public pit toilet or latrine (unspecified type)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          Traditional pit toilet or latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          Pit latrine without slab or open pit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3221
        </catValu>
        <labl>
          Uncovered pit latrine, no slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Pit latrine with slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3310
        </catValu>
        <labl>
          Pit latrine with washable slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3320
        </catValu>
        <labl>
          Pit latrine with non-washable slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3400
        </catValu>
        <labl>
          Ventilated improved pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3410
        </catValu>
        <labl>
          Covered pit latrine, no slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3420
        </catValu>
        <labl>
          Covered pit latrine with slab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3430
        </catValu>
        <labl>
          Covered latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3440
        </catValu>
        <labl>
          Septic pit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3450
        </catValu>
        <labl>
          Latrine with manual flush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3460
        </catValu>
        <labl>
          Other improved system
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          UNIMPROVED TOILET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Bucket toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4200
        </catValu>
        <labl>
          River
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4300
        </catValu>
        <labl>
          Hanging latrine over water source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          OTHER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4099" name="M_TOILETSHAREYN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Household shares toilet facility
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TOILETSHAREYN (HV225) indicates whether the household has a toilet facility that is shared with at least one other household.  A "no" response (code "0") indicates the household has a toilet that is not shared; a "yes" response (code "1") indicates the household shares a toilet facility; "not in universe" (code "9") means the household has no toilet facility.

The information in TOILETSHAREYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4100" name="M_TOILSHARNUMT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of other households sharing hh's toilet, topcoded
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For residents of households with shared toilet facilities, TOILSHARNUMT (HV238) reports the number of other households sharing their toilet, topcoded at 9 or more other households.  Thus, in IPUMS-DHS, a value of 1 in TOILSHARNUMT means that 1 other household is using the household's toilet, for a total of 2 households using that facility.

The information in TOILSHARNUMT is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4101" name="M_DRINKWTR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Major source of drinking water
      </labl>
      <valrng>
        <range UNITS="REAL" min="1000" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DRINKWTR (HV201) reports the household's main source of drinking water.  Responses vary widely across surveys; see Comparability.

The information in DRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          1000
        </catValu>
        <labl>
          PIPED WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1100
        </catValu>
        <labl>
          Piped into own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1110
        </catValu>
        <labl>
          Piped into own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1120
        </catValu>
        <labl>
          Piped into own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          Piped outside own residence/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          Public tap/standpipe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          Public tap from filtration plant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          Public tap from stone pipes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          Piped into neighbor's dwelling/yard
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          WELL WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2100
        </catValu>
        <labl>
          Unprotected/open well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2110
        </catValu>
        <labl>
          Open well in own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2111
        </catValu>
        <labl>
          Open well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2112
        </catValu>
        <labl>
          Open well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2120
        </catValu>
        <labl>
          Open public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2130
        </catValu>
        <labl>
          Open well in neighbor's residence
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2200
        </catValu>
        <labl>
          Protected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Protected well in own dwelling/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Protected well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Protected well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Protected well in neighbor's residence/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2220
        </catValu>
        <labl>
          Protected public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2230
        </catValu>
        <labl>
          Tube well or borehole
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2231
        </catValu>
        <labl>
          Borehole in yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2232
        </catValu>
        <labl>
          Public borehole
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2300
        </catValu>
        <labl>
          Unspecified well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2310
        </catValu>
        <labl>
          Unspecified well in residence/yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Unspecified well in own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Unspecified well in own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Handpump in yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2320
        </catValu>
        <labl>
          Unspecified public well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2321
        </catValu>
        <labl>
          Public shallow well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2322
        </catValu>
        <labl>
          Public traditional well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2323
        </catValu>
        <labl>
          Public handpump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2330
        </catValu>
        <labl>
          Unspecified neighbor's well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2340
        </catValu>
        <labl>
          Unspecified well by type
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2341
        </catValu>
        <labl>
          Well with pump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2342
        </catValu>
        <labl>
          Well without pump
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3000
        </catValu>
        <labl>
          SURFACE WATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3100
        </catValu>
        <labl>
          Spring
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3110
        </catValu>
        <labl>
          Protected spring/surface water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3120
        </catValu>
        <labl>
          Unprotected spring/surface water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3200
        </catValu>
        <labl>
          River/dam/lake/ponds/streams/canal/irrigation channel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3210
        </catValu>
        <labl>
          River, stream
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3220
        </catValu>
        <labl>
          Pond, lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3230
        </catValu>
        <labl>
          Dam
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3240
        </catValu>
        <labl>
          Canal or river/canal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3250
        </catValu>
        <labl>
          Irrigation ditch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3260
        </catValu>
        <labl>
          Dugout pond
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3300
        </catValu>
        <labl>
          Channeled by gravity flow scheme
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4000
        </catValu>
        <labl>
          RAINWATER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4100
        </catValu>
        <labl>
          Rainwater collected in tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5000
        </catValu>
        <labl>
          PURCHASED FROM SUPPLIER
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5100
        </catValu>
        <labl>
          Tanker truck
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5200
        </catValu>
        <labl>
          Cart with small tank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5300
        </catValu>
        <labl>
          Water vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5310
        </catValu>
        <labl>
          Water vendor from unknown source
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5320
        </catValu>
        <labl>
          Water vendor from protected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5330
        </catValu>
        <labl>
          Water vendor from unprotected well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5340
        </catValu>
        <labl>
          Water vendor from pond/lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5400
        </catValu>
        <labl>
          Bottled water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5410
        </catValu>
        <labl>
          Sachet water (in a bag)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5500
        </catValu>
        <labl>
          Community reverse osmosis plant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6000
        </catValu>
        <labl>
          OTHER SOURCE
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4102" name="M_WTRLOCATED" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH water source located in dwelling, plot, or elsewhere
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WTRLOCATED (HV235) indicates whether the main source of water for the household is located in the dwelling, in the household's yard or plot of land, or elsewhere. 

The information in WTRLOCATED is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Water from own dwelling or plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Water located in respondent's own dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Water located in respondent's own yard/plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Water located elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          River
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Well outside plot
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other, elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4103" name="M_TIMETOWTRHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Time to reach water source and return, in minutes (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TIMETOWTRHH (HV204) reports the time in minutes it takes members of the household to get to their main source of water and return to their dwelling.  In IPUMS-DHS, this variable is top-coded at 360 minutes or more (6 hours or longer).

The information in TIMETOWTRHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          96
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          97
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          98
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          99
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          100
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          101
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          102
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          103
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          104
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          105
        </labl>
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      <catgry>
        <catValu>
          257
        </catValu>
        <labl>
          257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          269
        </labl>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          270
        </labl>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          271
        </labl>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          272
        </labl>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          273
        </labl>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          274
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          275
        </labl>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          276
        </labl>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          277
        </labl>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          278
        </labl>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          279
        </labl>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          280
        </labl>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          281
        </labl>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          282
        </labl>
      </catgry>
      <catgry>
        <catValu>
          283
        </catValu>
        <labl>
          283
        </labl>
      </catgry>
      <catgry>
        <catValu>
          284
        </catValu>
        <labl>
          284
        </labl>
      </catgry>
      <catgry>
        <catValu>
          285
        </catValu>
        <labl>
          285
        </labl>
      </catgry>
      <catgry>
        <catValu>
          286
        </catValu>
        <labl>
          286
        </labl>
      </catgry>
      <catgry>
        <catValu>
          287
        </catValu>
        <labl>
          287
        </labl>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          288
        </labl>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          289
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          290
        </labl>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          291
        </labl>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          292
        </labl>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          293
        </labl>
      </catgry>
      <catgry>
        <catValu>
          294
        </catValu>
        <labl>
          294
        </labl>
      </catgry>
      <catgry>
        <catValu>
          295
        </catValu>
        <labl>
          295
        </labl>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          296
        </labl>
      </catgry>
      <catgry>
        <catValu>
          297
        </catValu>
        <labl>
          297
        </labl>
      </catgry>
      <catgry>
        <catValu>
          298
        </catValu>
        <labl>
          298
        </labl>
      </catgry>
      <catgry>
        <catValu>
          299
        </catValu>
        <labl>
          299
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          300
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          301
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          302
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          303
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          304
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          305
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          306
        </labl>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          307
        </labl>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          308
        </labl>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          309
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          310
        </labl>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          311
        </labl>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          312
        </labl>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          313
        </labl>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          314
        </labl>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          315
        </labl>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          316
        </labl>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          317
        </labl>
      </catgry>
      <catgry>
        <catValu>
          318
        </catValu>
        <labl>
          318
        </labl>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          319
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          320
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          321
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          322
        </labl>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          323
        </labl>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          324
        </labl>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          325
        </labl>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          326
        </labl>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          327
        </labl>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          328
        </labl>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          329
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          330
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          331
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          332
        </labl>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          333
        </labl>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          334
        </labl>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          335
        </labl>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          336
        </labl>
      </catgry>
      <catgry>
        <catValu>
          337
        </catValu>
        <labl>
          337
        </labl>
      </catgry>
      <catgry>
        <catValu>
          338
        </catValu>
        <labl>
          338
        </labl>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          339
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          340
        </labl>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          341
        </labl>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          342
        </labl>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          343
        </labl>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          344
        </labl>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          345
        </labl>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          346
        </labl>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          347
        </labl>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          348
        </labl>
      </catgry>
      <catgry>
        <catValu>
          349
        </catValu>
        <labl>
          349
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          350
        </labl>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          351
        </labl>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          352
        </labl>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          353
        </labl>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          354
        </labl>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          355
        </labl>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          356
        </labl>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          357
        </labl>
      </catgry>
      <catgry>
        <catValu>
          358
        </catValu>
        <labl>
          358
        </labl>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          359
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          360+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          On premises
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4104" name="M_TREATWTRYN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Household uses any method to treat drinking water
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TREATWTRYN (HV237) indicates whether the household used any treatment to make water safer to drink.

The information in TREATWTRYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4105" name="M_TRBLEACH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Adding bleach/chlorine
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRBLEACH (HV237B) indicates whether the household added bleach or chlorine to make water safer to drink.

The information in TRBLEACH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4106" name="M_TRBOIL" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Boiling
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRBOIL(HV237A)  indicates whether the household boiled water to make it safer to drink.

The information in TRBOIL is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Yes, most of the time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Yes, some of the time
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4107" name="M_TRCLOTH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Straining through cloth
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRCLOTH (HV237C) indicates whether the household strained water through cloth to make the water safer to drink.

The information in TRCLOTH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4108" name="M_TRFILTER" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Using water filters
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRFILTER (HV237D) indicates whether the household used a water filter to make water safer to drink.

The information in TRFILTER is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4109" name="M_TRSOLAR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Solar disinfection
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRSOLAR (HV237E) indicates whether the household used solar disinfection to make water safer to drink.

The information in TRSOLAR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4110" name="M_TRSTAND" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Letting it stand
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRSTAND (HV237F) indicates whether the household let water stand to settle impurities, to make the water safer to drink.

The information in TRSTAND is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4111" name="M_TROTHER" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Other methods
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TROTHER (HV237X) indicates whether the household used some "other" treatment to make water safer to drink. The meaning of other depends on the specific water treatment methods enumerated in a given survey.

The information in TROTHER is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4112" name="M_TRDK" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH treats water by: Don't know
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TRDK (HV237Z) indicates whether the respondent did not know what treatment, if any, the household used to make water safer to drink.

The information in TRDK is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4113" name="M_WHOFETCHAGE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Age of household member who fetches water
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHOFETCHAGE (HV236) reports, in broad age and sex categories, the person who usually fetched water for households that used a water source not accessible in their own dwelling or yard.  Responses vary across samples; see Comparability.

The information in WHOFETCHAGE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Person age 18+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Adult woman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Adult woman with child
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Adult man
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Person age 15-17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Female age 15-17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Male age 15-17 years
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Person under age 15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Female child under 15 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Male child under 15 years old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Female and male child under 15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Other/not applicable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Any household member
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Water vendor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Vendor using animal transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Vendor using truck
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Toilet and water Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4114" name="M_HHPHONEHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        House has telephone (household record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[HHPHONEHH (HV221) indicates whether any member of the household has a telephone (based on information from the household record).   

The information in HHPHONEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4115" name="M_MOBPHONE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has mobile phone
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MOBPHONE indicates whether the household had a mobile/cellular telephone.

The related variable HHPHONE indicates whether the household had a telephone, regardless of the type of phone, or had a non-mobile phone.

The information in MOBPHONE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4116" name="M_BIKEHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has bicycle (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIKEHH (HV210) indicates whether any member of the household has a bicycle. 

The information in BIKEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4117" name="M_CARHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has car/truck (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CARHH (HV212) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability. 

The information in CARHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4118" name="M_MOTORCYCLHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has motorcycle/scooter (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MOTORCYCLHH (HV211) indicates whether any member of the household owns a motorcycle or scooter.

The information in MOTORCYCLHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4119" name="M_FRIDGEHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has refrigerator (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[FRIDGEHH (HV209) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or owned by the household. See Comparability.

The information in FRIDGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4120" name="M_RADIOHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has radio (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RADIOHH (HV207) indicates whether any member of the household owns a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.

The information in RADIOHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4121" name="M_TVHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has television (from HH record)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[TVHH (HV208) indicates whether any member of the household has a television. Some samples specified that the TV must be in working order. See Comparability.

The information in TVHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4122" name="M_WATCHCLOCK" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has watch or clock
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WATCHCLOCK indicates whether the household has access to a timepiece, either a watch or a clock. The related variable CLOCKONLY indicates whether the household has a clock. See Comparability.

The information in WATCHCLOCK is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4123" name="M_BED" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has bed
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BED indicates whether the household had a bed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4124" name="M_SOFA" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has sofa
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SOFA indicates whether the household had a sofa or "sofa set."
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4125" name="M_BANKACC" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has bank account
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BANKACC (HV247) indicates whether any member of the household has a bank account.

The information in BANKACC is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4126" name="M_AGLANDYN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH owns land for agriculture (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[AGLANDYN (HV244) indicates whether any member of the household owned (or had use of) agricultural land. Question wording varies across samples; see Comparability.

The information in AGLANDYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4127" name="M_DRAWNCART" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH has animal-drawn cart
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[DRAWNCART indicates whether a household member owned an animal-drawn cart. Question wording varied across samples; see Comparability.

The information in DRAWNCART is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4128" name="M_LIVESTOCKYN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH owns livestock
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LIVESTOCKYN (HV246) indicates whether the household owned any livestock, herds, other farm animals, or, in some surveys, poultry.  This question was frequently included as a filter, to determine whether the respondent should be asked more specific questions about the household's ownership of specific types of animals or poultry.

The information in LIVESTOCKYN is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4129" name="M_CATTLENUM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of cattle owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CATTLENUM reports the number of cattle owned by the household.  In some cases, the question referred specifically to local or indigenous cattle; see Comparability.  The complementary variable CATTLEYN indicates whether household owned any cattle.

The information in CATTLENUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4130" name="M_SHEEPYN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH owns sheep (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SHEEPYN indicates whether the household owned sheep.  The complementary variable SHEEPNUM reports the number of sheep owned by the household.

The information in SHEEPYN is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4131" name="M_SHEEPNUM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of sheep owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SHEEPNUM reports the number of sheep owned by the household.  The complementary variable SHEEPYN indicates whether household owned any sheep.

The information in SHEEPNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4132" name="M_GOATYN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH owns goats (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GOATYN indicates whether the household owned goats.  The complementary variable GOATNUM reports the number of goats owned by the household.

The information in GOATYN is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4133" name="M_GOATNUM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of goats owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GOATNUM reports the number of goats owned by the household.  The complementary variable GOATYN indicates whether household owned any goats.

The information in GOATNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4134" name="M_PIGYN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH owns pigs (yes or no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PIGYN indicates whether the household owned any pigs. The complementary variable PIGNUM reports how many pigs the household owned.

The information in PIGYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4135" name="M_PIGNUM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of pigs owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PIGNUM reports the number of pigs owned by the household. The complementary variable PIGYN indicates whether the household owned any pigs.

The information in PIGNUM is taken from the household record, linked to the record of the woman respondent.  This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4136" name="M_OTHERANYN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        HH owns animals of some other type (yes/no)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OTHERANYN indicates whether the household owns any other type of animals or livestock. The meaning of "other" depends on the specific animals asked about in a given sample. 

The information in OTHERANYN is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4137" name="M_OTHERANNUM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of animals of some other type owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OTHERANNUM reports the number of "other" animals owned by the household. The meaning of "other" depends on the specific animals asked about in a given sample. The related variable OTHERANYN indicates whether the household has any "other" animals.

The information in OTHERANNUM is taken from the household record, linked to the record of the woman respondent. This information applies to household residents, not temporary visitors, so researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2").]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          More than 95
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4138" name="M_CHICKNUM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of chickens owned by HH (topcoded)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CHICKNUM reports the number of chickens owned by the household. In some cases, the question referred to other domestic fowl, as well; see Comparability.  The complementary variable CHICKYN indicates whether household owned any chickens.

The information in CHICKNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          81
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          82
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          83
        </labl>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          84
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          85
        </labl>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <labl>
          86
        </labl>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <labl>
          87
        </labl>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <labl>
          88
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          90
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          91
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          92
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          93
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          94
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          95 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural possessions Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4139" name="M_SALTEST1" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Iodine level in HH salt, first grouping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SALTEST1 (HV234) reports the iodine level in the household's cooking salt, using grouped values. The levels are grouped based on PPM (parts per million). 

Universal salt iodization is recommended (by the World Health Organization and UNICEF) to prevent and correct iodine deficiency disorders (including goiter, hypothyroidism, deaf-mutism, mental retardation, dwarfism, stillbirth, and congenital abnormalities). However, unnecessarily high levels of iodine in salt may lead to occasional cases of hyperthyroidism.

The information in SALTEST1 is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.

The related variables SALTEST2 and SALTEST3 (HV234A) also report iodine levels in cooking salt, but with different groupings.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          7 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Less than 15 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          15 PPM or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          30 PPM
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Salt not tested
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          No salt in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Nutrition Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4140" name="M_BEDNETHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Household has bednet for sleeping
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETHH (HV227) indicates whether the household has at least one mosquito bed net for use while household members are sleeping. 

The information in BEDNETHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4141" name="M_BEDNETNUM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of mosquito nets owned by HH
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETNUM (HML1) reports how many mosquito nets were owned by the household. 
Responses were topcoded at 7+ bednets. Because of topcoding, the number of reported bednets cannot be meaningfully compared to the number of household members.

The information in BEDNETNUM is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4142" name="M_BEDNETKIDLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Children under 5 slept under bednet last night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BEDNETKIDLT5 (HV228) indicates whether any, some, or all of the children in the household under age five slept under a bed net the previous night.


Apart from universe differences, BEDNETKIDLT5 (HV228) has no comparability problems.

Comparability - Standard DHS

BEDNETKIDLT5 (HV228) is included in Phase IV forward of the standard DHS questionnaire.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          All children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Some children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          No net in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4143" name="M_BEDNETKIDS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of children under bednet previous night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDNETKIDS (HML2) reports the number of children in the household who slept under a mosquito net the previous night.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4144" name="M_BEDNETWINF" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of mosquito nets with specific information
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BEDNETWINF (HML1A) reports the number of mosquito nets with specific information the household has. Specific information can be related to the type (permanent/long-lasting insecticide-treated or pretreated) or the brand of the net.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Non-resident
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Antimalaria protection Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4145" name="M_WEALTHQHH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Household wealth index in quintiles, from HH form
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WEALTHQHH (HV270) refers to the relative wealth of the household, divided into quintiles from the poorest (code 1) to the richest (code 5).  The wealth index is defined in the DHS Recode Manuals as follows:


The wealth index is a composite measure of a household's cumulative living standard. The wealth index is calculated using easy-to-use data on a household's ownership of selected assets, such as televisions and bicycles; materials used for housing construction; and types of water access and sanitation facilities.  



Generated with a statistical procedure known as principal components analysis, the wealth index places individual households on a continuous scale of relative wealth. DHS separates all interviewed households into five quintiles of wealth.


For additional information about the calculation and meaning of the wealth index, users should consult the summary information about the wealth index on The DHS Program website here [URL omitted from DDI.] and/or the DHS Comparative Report on "The DHS Wealth Index" here [URL omitted from DDI.].

The variables used to calculate wealth index quintiles and the level of wealth implied by a specific ranking are sample-specific.  See Comparability.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Poorest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Poorer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Middle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Richer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Richest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Wealth index Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4146" name="M_WEALTHSHH" files="F4" dcml="0" intrvl="contin">
      <labl>
        Wealth index factor score (5 decimals)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WEALTHSHH (HV271) refers to the household's wealth index value generated by the product of standardized scores (z-scores) and factor coefficient scores (factor loadings) of wealth indicators. Most researchers will want to use instead the complementary variable WEALTHQHH (HV270), which reports quintile ranking (from poorest to richest) of the household, in terms of wealth score, for a given sample. 

For additional information about the calculation and meaning of the wealth index, users should consult the summary information available on the DHS Program website, including The DHS Program - Research Topics - Wealth Index [URL omitted from DDI.] and The DHS Wealth Index [URL omitted from DDI.], a DHS Comparative Report.

The variables used to calculate wealth index scores are sample-specific. See Comparability.]]>
      </txt>
      <codInstr>
        <![CDATA[WEALTHSHH (HV271) is an 8-digit numeric variable with 5 implied decimal places.

		
99999998 = Missing
99999999 = NIU (not in universe)]]>
      </codInstr>
      <concept vocab="IPUMS">
        Wealth index Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4147" name="M_BLANKET" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Member has a blanket
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For child household members, BLANKET (HV137) indicates whether the person has a blanket.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4148" name="M_SHOES" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Member has a pair of shoes
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For child household members, SHOES (HV138) indicates whether the person has a pair of shoes.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4149" name="M_TWOUTFITS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Member has 2 or more sets of clothes
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For child household members, TWOUTFITS (HV139) indicates whether the person has two or more sets of clothes.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        SES general Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4150" name="M_EDLEVEL" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Highest education level attained
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDLEVEL (HV106) reports the highest level of school the household member attended. Countries vary in the gradations of their school systems, but EDUCLVL is a standardized variable reporting level of education in four broad categories: No education, Primary, Secondary, and Higher.

Any household member below the lower age limit (usually 6 years) for the education questions is classified in the "No education" category.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education/primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4151" name="M_EDLEVYR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Highest year of education completed in level
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDLEVYR (HV107) reports the number of years of schooling completed by the household member at the educational level (primary, secondary, or higher) reported in EDLEVEL (HV106). See Comparability for more information on how to correctly interpret values in EDLEVYR.

For the household member's total years of education, see EDYEARS (HV108).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4152" name="M_EDYEARS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Education in completed years
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="98"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDYEARS (HV108) reports the household member's education in single completed years. This variable is constructed from responses to EDLEVEL (HV106) and EDLEVYR (HV107), as follows:

If EDLEVEL = "No education," EDYEARS = "0"
If EDLEVEL = "Primary," EDYEARS = EDLEVYR
If EDLEVEL = "Secondary," EDYEARS = EDLEVYR + x
If EDLEVEL = "Higher," EDYEARS = EDLEVYR + y
If EDLEVEL = "Missing," EDYEARS = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4153" name="M_EDSUMM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Educational attainment
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDSUMM (HV109) is a summary variable that reports the household member's highest level of education in broad categories. Countries vary in the gradations of their school systems, but EDSUMM is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher. 

EDSUMM is constructed from information contained in EDLEVEL (HV106) and EDLEVYR (HV107).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Incomplete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Complete primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Incomplete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Complete secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4154" name="M_SCHOOLNOW" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Member attended school during current school year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SCHOOLNOW (HV121) indicates whether the household member has attended school during the current school year.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, currently attending
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, ever attended during current school year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4155" name="M_EDLEVELNOW" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Educational level during current school year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EDLEVELNOW (HV122) reports the level of school the household member attended during the current school year. Countries vary in the gradations of their school systems, but EDUCLVL is a standardized variable reporting level of education in four broad categories: No education/preschool, Primary, Secondary, and Higher.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education/preschool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4156" name="M_EDLEVYRNOW" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Grade of education during current school year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDLEVYRNOW (HV123) reports the grade (years of schooling) currently attended by the household member at the educational level (primary, secondary, or higher) reported in EDLEVELNOW (HV122). Values in EDLEVYRNOW may be different from those in EDLEVYR (HV107), as EDLEVYR reports the household member's education in completed years at that level.

For the household member's total education in single years during the current school year, see EDYEARSNOW (HV1024).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 year completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4157" name="M_EDYEARSNOW" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total years of education (current school year)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EDYEARSNOW (HV124) reports the household member's education in single years during the current school year. Household members who are not currently in school are coded as "0." Values in EDYEARSNOW may be different from those in EDYEARS (HV108), as EDYEARS reports the household member's education in completed years. See EDYEARS (HV108) for more information on the construction of EDYEARSNOW.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4158" name="M_EDINSCHLPREVYR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Member attended school during previous school year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EDINSCHLPREVYR (HV125) indicates whether the household member attended school during the previous school year.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4159" name="M_EDLEVELPREV" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Educational level during previous school year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        EDLEVELPREV (HV126) reports the level of school the household member attended during the previous school year. Countries vary in the gradations of their school systems, but EDUCLVL is a standardized variable reporting level of education in four broad categories: No education/preschool, Primary, Secondary, and Higher.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No education/preschool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4160" name="M_EDLEVYRPREV" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Grade of education attended during previous school year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDLEVYRPREV (HV127) reports the grade (year of schooling) attended the previous year by the household member at the educational level (primary, secondary, or higher) reported in EDLEVELPREV (HV126). 

For the household member's total education in single years during the previous school year, see EDYEARSPREV (HV128).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4161" name="M_EDYEARSPREV" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total years of education (previous school year)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[EDYEARSPREV (HV128) reports the household member's education in single years during the previous school year. Household members who were not in school the previous year are coded as "0." See EDYEARS (HV108) for more information on the construction of EDYEARSPREV.

The related variable EDYEARSNOW (HV124) reports the household member's education in single years during the current school year.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4162" name="M_EDSTATUS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        School attendance status
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members within a specified (and varying) age range, from childhood to young adulthood, EDSTATUS (HV129) indicates the household member's educational status. 

Below are descriptions of each code:

0 = Never attended: Children with no education
1 = Entered school: Children who did not attend school the previous year but are currently enrolled
2 = Advanced: Children at a current level that is higher than the previous year
3 = Repeating: Children who are at the same level as the previous year or at a level below the previous year
4 = Dropout: Children who were at school the previous year but are not currently attending school
5 = Left school 2 or more years ago: Children who are not currently attending school and did not go to school the previous year]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never attended
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Entered school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Advanced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Repeating
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Dropout
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Left school 2 or more years ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Education Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4163" name="M_MLLINENO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Line number for malaria module
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MLLINENO (HMHIDX) reports the line number of the household member in the household questionnaire for the malaria module. 

In almost all cases, MLLINENO is equal to HHLINENO (HVIDX).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        General malaria Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4164" name="M_MLNETINDX" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Mosquito bed net designation number
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MLNETINDX (HMLIDX) reports the net designation number of the net the household member slept under the previous night. The net designation numbering system allows the researcher to identify which net was used by which person, since nets may differ in important characteristics (e.g., whether they were treated with insecticide). 

For household members who slept under more than one bed net the previous night, MLNETINDX reports the net designation number of one of the nets the household member slept under the previous night.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4165" name="M_MLNETOBS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Net observed by interviewer
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members who slept under a bed net the previous night, MLNETOBS (HML3) indicates whether the interviewer observed the net the person slept under. 

For household members who slept under more than one bed net the previous night, MLNETOBS refers to the net numbered in MLNETINDX (HMLIDX).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not seen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes, seen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, seen with holes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, seen without holes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4166" name="M_MLNETAGO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Time since obtained mosquito net (months)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MLNETAGO (HML4) reports the number of months since the mosquito net the household member slept under the previous night was acquired.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          More than 3 years ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4167" name="M_MLNETSTATUS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Net treatment status
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members who slept under a bed net the previous night, MLNETSTATUS (HML6) indicates the treatment status (not pretreated, permanently pretreated, requiring future treatment) of the bed net that the person used the previous night.

For household members who slept under more than one bed net the previous night, MLNETSTATUS refers to the net numbered in MLNETINDX (HMLIDX).]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Not pretreated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Not pretreated, came with kit and treated at home
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Pretreated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Pretreated, permanent treatement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Pretreated, requiring future treatment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Pretreated, treatment type not known
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4168" name="M_MLNETBRAND" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Brand of net
      </labl>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members who slept under a bed net the previous night, MLNETBRAND (HML7) reports the brand of the bed net the person slept under.

For household members who slept under more than one bed net the previous night, MLNETBRAND refers to the net numbered in MLNETINDX (HMLIDX).]]>
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Long-lasting insecticide treated net (LLIN)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          PermaNet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          PermanNet 2.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          PermaNet 3.0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Olyset
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Olyset Plus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          DuraNET
        </labl>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          NetProtect
        </labl>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Interceptor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          DawaPlus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          LifeNet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          MAGNet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Royal Sentry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Yorkool LN
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Serena
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          IconLife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Supanet Extra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          Supermanet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          Super moustiquaire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Milay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Smartnet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Local
        </labl>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Imported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Government brand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          Other/don't know brand LLIN
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Pretreated net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Permethrin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Deltamethrin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Cyfulthrin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Safi net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          K-Onet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Netto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Sentinelle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Kinga Net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Supanet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Kooper net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Ico net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Siam Dutch Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Ironnet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Long duration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Short duration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Nigerian brand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          Unbranded rural net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          Other/don't know brand pretreated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Untreated net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Safi net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          B52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Bamboo hut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Century
        </labl>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          Lucky net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          Victoria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Other untreated net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Locally/homemade net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4169" name="M_MLNETRESINCE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Net treated with insecticide since received
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members who slept under a bed net the previous night, MLNETSINCE (HML8) indicates whether the net the person slept under had been treated with insecticide since it was first received.

For household members who slept under more than one bed net the previous night, MLNETSINCE refers to the net numbered in MLNETINDX (HMLIDX).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Permanent net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4170" name="M_MLNETITN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Mosquito net treated with insecticide
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MLNETITN (HML10) indicates whether the mosquito net the household member slept under the previous night has been treated with insecticide.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No/don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Yes, treated in last 12 months
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Yes, assumed (pre-treated)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4171" name="M_MLNETSLEPTNO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of persons who slept under this net
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members who slept under a bed net the previous night, MLNETSLEPTNO (HML11) reports how many people slept under the net that the person used during the previous night.

For household members who slept under more than one bed net the previous night, MLNETSLEPTNO refers to the net numbered in MLNETINDX (HMLIDX).]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4172" name="M_MLNSLEPTYPE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Type of mosquito bed net(s) person slept under last night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MLNSLEPTYPE (HML12) indicates whether the household member slept under a bed net the previous night, and, if so, the type of bed net (treated, untreated, or both treated and untreated).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Did not sleep under a net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Treated bednets only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Both treated and undtreated bednets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Untreated bednets only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4173" name="M_MLNETSLEPT1" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Net designation number for 1st net person slept under last night
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members who slept under a bed net the previous night, MLNETSLEPT1 (HML13) reports the net designation number (MLNETINDX (HMLIDX)) of the first net the person slept under the previous night.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Did not sleep under net
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4174" name="M_MLNETSLEPT2" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Net designation number for 2nd net person slept under last night
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members who slept under at least two bed nets the previous night, MLNETSLEPT2 (HML14) reports the net designation number (MLNETINDX (HMLIDX)) of the second net the person slept under the previous night.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4175" name="M_MLNETEVERTR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Person slept under an ever-treated net
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MLNETEVERTR (HML19) indicates whether the household member slept the previous night under a bed net that had ever been treated with insecticide.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4176" name="M_MLNETSLEPTA" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Line number of 1st person who slept in this net
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members who slept under a bed net the previous night, MLNETSLEPTA (HMLA) reports the line number of the first household member to sleep under the net the person used during the previous night. If the net was not shared with others, MLNETSLEPTA will be the household member's own line number.

For household members who slept under more than one bed net the previous night, MLNETSLEPTA refers to the net numbered in MLNETINDX (HMLIDX).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4177" name="M_MLNETSLEPTB" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Line number of 2nd person who slept in this net
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members who slept under a shared bed net the previous night, MLNETSLEPTB (HMLB) reports the line number of the second household member who slept under the net used by the reference person during the previous night.

For household members who slept under more than one bed net the previous night, MLNETSLEPTB refers to the net numbered in MLNETINDX (HMLIDX).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4178" name="M_MLNETSLEPTC" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Line number of 3rd person who slept in this net
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members who slept under a shared (with at least 3 people) bed net the previous night, MLNETSLEPTC (HMLC) reports the line number of the third household member who slept under the net used by the reference person during  the previous night.

For household members who slept under more than one bed net the previous night, MLNETSLEPTC refers to the net numbered in MLNETINDX (HMLIDX).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4179" name="M_MLNETSLEPTD" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Line number of 4th person who slept in this net
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members who slept under a shared (with at least four people) bed net the previous night, MLNETSLEPTD (HMLD) reports the line number of the fourth household member who slept under the net used by the reference person during the previous night.

For household members who slept under more than one bed net the previous night, MLNETSLEPTD refers to the net numbered in MLNETINDX (HMLIDX).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No one
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4180" name="M_MLNETREAGO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Time since mosquito net last treated with insecticide (months)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        MLNETREAGO (HML9) indicates how many months have passed since the net the household member slept under the previous night was last treated with insecticide.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Less than 1 month
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          More than 2 years ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          More than 3 years ago
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Mosquito nets Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4181" name="M_HWFINDEX" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Index to household schedule (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWFINDEX (HA0) reports the line number, from the household record, of female household members of childbearing age who were potential subjects for height and weight measurement.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4182" name="M_HWFAGE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Age in years (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="12" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For female household members who were potential subjects for height and weight measurement, HWFAGE (HA1) reports their age in years at the time of the household interview, as reported in the household record (see HHAGE).
      </txt>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4183" name="M_HWFWEIGHT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Weight in kilograms (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For female household members of childbearing age who were potential subjects for height and weight measurement, HWFWEIGHT (HA2) reports their weight as measured by DHS personnel. There is one implied decimal place in the weight. Dividing HWFWEIGHT by 10 will yield the measured weight in kilograms.
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Out of range (lt 15kg or gt 220 kg)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4184" name="M_HWFHEIGHT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Height in centimeters (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For female household members who were potential subjects for height and weight measurement, HWFHEIGHT (HA3) reports their height as measured by DHS personnel. There is one implied decimal place in the height. Dividing HWFHEIGHT by 10 will yield the measured height in kilograms.
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4185" name="M_HWFWHYNOTMEAS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Whether measured, and, if not, why not (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWFWHYNOTMEAS (HA13) indicates whether the female household member of childbearing age was measured for height and weight, or, if not, why she was not measured. All "no" responses have a common first digit of "2," while the second digit reveals the reason (e.g., not present, refused).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technical problem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Incapacitated/sick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4186" name="M_HWFBIRTHCMC" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Date of birth (CMC) (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWFBIRTHCMC (HA32) reports the century month code for the date of birth of female household members (of childbearing age) who were potential subjects for height and weight measurement.
      </txt>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4187" name="M_HWFBIRTHDATECOMP" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information: Date of birth (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWFBIRTHDATECOMP (HA33) reports the completeness of information about the age and date of birth of female household members who were potential subjects for height and weight measurement.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Month, year and day
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Month and year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Month and age (year imputed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Year and age
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Year and age (month imputed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Year and age (year ignored)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Year (age/month imputed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Age (year/month imputed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Month (age/year imputed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          None (all imputed)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4188" name="M_HWFBMI" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Body mass index (BMI) (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For female household members, HWFBMI (HA40) reports their body mass index (BMI). BMI is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) squared (W/H2). BMI is also known as the Quetelet Index, and it is a measure of acute nutritional status, based on the Fogarty Metropolitan Life tables of ideal weight for height. 

The DHS Guide to Statistics offers the following guidelines for interpreting BMI scores for women age 15-49:

Normal: 18.5 to 24.9 
Mildly thin: 17.0 to 18.4 
Moderately thin: 16.0 to 16.9 
Severely thin: less than 16.0 
Overweight: 25.0 to 29.9 
Obese: 30.0 or more

The original height and weight values used to calculate BMI are also included in the DHS.   HWFWEIGHT (HA2) reports the female household member's weight in kilograms as measured by DHS personnel;  HWFHEIGHT (HA3) reports their length or height in centimeters as measured by DHS personnel. 

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in HWFROHRER (the female household member's Rohrer's Index, which is equal to body weight (kilograms) divided by height (meters) cubed (W/H3)).]]>
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4189" name="M_HWFROHRER" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Rohrer's index (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9997" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For female household members of childbearing age, HWFROHRER (HA41) reports their Rohrer's Index. Rohrer's Index is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) cubed (W/H3). Rohrer's Index is a measure of acute nutritional status, and may be used as an alternative to Body Mass Index. 

The original height and weight values used to calculate Rohrer's Index are also included in the DHS.   HWFWEIGHT (HA2) reports the female household member's weight in kilograms as measured by DHS personnel;  HWFHEIGHT (HA3) reports their length or height in centimeters as measured by DHS personnel. 

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in HWFBMI (the female household member's Body Mass Index (BMI), which is equal to body weight (kilograms) divided by height (meters) squared (W/H2)).]]>
      </txt>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4190" name="M_HWFHEMOCONSENT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Read consent statement - hemoglobin (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For female household members, HWFHEMOCONSENT (HA52) indicates whether permission was granted for their blood to be drawn and tested for hemoglobin level (as an indicator of anemia) or, if not, why not. Interviewers read a statement about hemoglobin testing and requested permission to draw and test the individual's blood for hemoglobin level.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Parent/caretaker refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Respondent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Adolescent refused after parent granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Respondent not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Parent/caretaker not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Minor not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Not read
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4191" name="M_HWFHEMOLEVEL" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Hemoglobin level (g/dl) (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="994" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For female household members of childbearing age, HWFHEMOLEVEL (HA53) reports the level of hemoglobin in their blood, in terms of grams per deciliter (g/dl), based on testing of blood drawn by DHS personnel. Hemoglobin levels are tested to determine the presence and severity of anemia. HWFHEMOLEVEL is a 3-digit variable with 1 implied decimal place.  

For a summary statement of the female household member's anemia status, based on grouped hemoglobin level results, see  HWFANEMIALVL (HA57).]]>
      </txt>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Information not collected (CS)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4192" name="M_HWFHEMOTEST" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Whether hemoglobin level tested (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For female household members of childbearing age, HWFHEMOTEST (HA55) indicates whether their hemoglobin level was tested from a blood draw by DHS personnel, or, if not, why their hemoglobin level was not measured. All "no" responses have a common first digit of "2," while the second digit reveals the reason (e.g., not present, refused, technical problem).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Technical problems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Information not collected (CS)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4193" name="M_HWFHEMOLEVELALT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Hemoglobin level adjusted by altitude (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="992" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For female household members of childbearing age, HWFHEMOLEVELALT (HA56) reports the level of hemoglobin in their blood, in terms of grams per deciliter (g/dl), based on testing of blood drawn by DHS personnel, and adjusted for altitude. Hemoglobin levels are tested to determine the presence and severity of anemia. HWFHEMOLEVELALT is a 3-digit variable with 1 implied decimal place.  

The USAID publication Adjusting Hemoglobin Values in Program Surveys [URL omitted from DDI.] explains, "At elevations above 1000 m. hemoglobin concentrations increase as an adaptive response to the lower partial pressure of oxygen and reduced oxygen saturation of blood." The report further provides an equation for adjusting hemoglobin values in altitudes at 500-meter intervals, and explains that adjustment is important because "WHO hemoglobin cutoffs for anemia refer to sea-level values."

For a summary statement of the female household member's anemia status, based on grouped hemoglobin level results, see  HWFANEMIALVL (HA57).]]>
      </txt>
      <catgry>
        <catValu>
          992
        </catValu>
        <labl>
          Information not collected (CS)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          993
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4194" name="M_HWFANEMIALVL" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Anemia level (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For female household members of childbearing age, HWFANEMIALVL (HA57) reports their level of anemia, from severely anemic to not anemic, based on hemoglobin levels in blood drawn by DHS personnel.

According to the DHS Recode Manuals:
 [Hemoglobin] Levels below 7.0 g/dl are considered as severe anemia, levels between 7.1g/dl and 9.9g/dl are considered as moderate anemia, and cases between 10.0 g/dl and 10.9 g/dl are considered as mild anemia for pregnant women and between 10.0 g/dl and 11.9 g/dl for all other adult women.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Severe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Moderate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Mild
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Not anemic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Information not collected (CS)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4195" name="M_CIGDAYNOFEM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of cigarettes in last 24 hours (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For female household members of childbearing age, CIGDAYNOFEM (HA35) reports the number of cigarettes smoked in the last 24 hours.

IPUMS-DHS users may also be interested in SMOKEFEM, which indicates whether the female household member smokes.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Does not smoke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80+
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Smokes other tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4196" name="M_HWFHIVCONSENT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Read consent statement - HIV (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For female household members of childbearing age, HWFHIVCONSENT (HA61) indicates whether permission was granted for their blood to be drawn and tested for HIV or, if not, why not. Interviewers read a statement about HIV testing and requested permission to draw and test the individual's blood for HIV.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Parent/caretaker refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Respondent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Adult/parent not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Minor not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Sample not tested/lost/not enough DBS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4197" name="M_HWFHIVTEST" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Whether blood taken for HIV test (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For female household members, HWFHIVTEST (HA63) indicates whether their blood was drawn by DHS personnel to be tested for HIV, or, if not, why their blood was not taken. All "no" responses have a common first digit of "2," while the second digit reveals the reason (e.g., not present, refused, technical problem).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Blood taken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Blood not taken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sample not tested/lost/damaged/insufficient
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          "
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Not enough DBS to complete protocol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Technical problems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Information not collected (CS)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4198" name="M_HWFUNDER18" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Under age 18 (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For female household members of childbearing age who were potential subjects for height, weight, and hemoglobin measurement, HWFUNDER18 (HA50) indicates whether they were under or over age 18 at the time of the interview.

The information in this variable was used by DHS personnel to determine whether a female household member needed consent from a parent/caretaker to conduct hemoglobin measurements.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Under age 18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Age 18 or older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4199" name="M_HWFLINENOPARENT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Line number of parent/caretaker (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWFLINENOPARENT (HA51) reports the line number, in the household listing, of the parent or caretaker of female household members under age 18 whose hemoglobin levels were measured, based on blood drawn by DHS personnel.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Previously married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4200" name="M_HWFPREGNANT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Currently pregnant (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For female household members of childbearing age who were potential subjects for height, weight, and hemoglobin measurement, HWFPREGNANT (HA54) indicates whether they were pregnant at the time of the interview.

A woman's pregnancy status is an important factor in interpreting hemoglobin/anemia level (see HWFHEMOLEVEL, HWFHEMOLEVELALT, and HWFANEMIALVL).]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No/unsure
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4201" name="M_HWFMARSTAT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Marital status (Female household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For female household members who were potential subjects for height, weight, and hemoglobin measurement, HWFMARSTAT (HA60) indicates whether they had ever been married or in a union.

This variable was typically used to assist DHS personnel determine from whom consent could be obtained in cases where the female household member was under age 18 and could not grant consent herself.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never in union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Ever-married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Female blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4202" name="M_HWCINDEX" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Index to household schedule (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWCINDEX (HC0) reports the line number, from the household record, of household members under age 5 who were potential subjects for height and weight measurement.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4203" name="M_AGEMOHHLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Age in months (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under age 5 who were potential subjects for height and weight measurement, AGEMOHHLT5 (HC1) reports their age in months at the time of the household interview. This information is useful for calculating malnutrition indicators such as height-for-age (stunting) and weight-for-age (underweight). The DHS Recode manuals report that the age in months is calculated from the century month code of the date of interview minus the century month code of the date of birth of the young household member.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4204" name="M_HWCWEIGHT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Weight in kilograms (1 decimal) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under age 5 who were potential subjects for height and weight measurement, HWCWEIGHT (HC2) reports their weight as measured by DHS personnel. There is one implied decimal place in the weight. Dividing HWCWEIGHT by 10 will yield the measured weight in kilograms.
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Out of range
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4205" name="M_HWCHEIGHT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Height in centimeters (1 decimal) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under age 5 who were potential subjects for height and weight measurement, HWCHEIGHT (HC3) reports their height as measured by DHS personnel. There is one implied decimal place in the height. Dividing HWCHEIGHT by 10 will yield the measured height in kilograms.
      </txt>
      <catgry>
        <catValu>
          9994
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9995
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Out of range
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4206" name="M_HWCWHYNOTMEAS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Whether household member under age 5 measured, and, if not, why not
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under age 5 who were potential subjects for height and weight measurement, HWCWHYNOTMEAS (HC13) reports whether they were measured, or, if not, why they were not measured. All "no" responses have a common first digit of "2," while the second digit reveals the reason (e.g., consent refused, not present).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not measured
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Sick
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Technical problems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4207" name="M_HWCDAYMEAS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Date measured (day) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5 who were potential subjects for height and weight measurement, HWCDAYMEAS (HC17) reports the day of the month on which their height and weight were measured by DHS personnel. Their age in days on the day of measurement is used in DHS calculations of anthropometric Z-scores. 

The complementary variables  HWCMONTHMEAS (HC18) and  HWCYEARMEAS (HC19) report the month and the year, respectively, of the young household member's height and weight measurement.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4208" name="M_HWCMONTHMEAS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Date measured (month) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5 who were potential subjects for height and weight measurement, HWCMONTHMEAS (HC18) reports the calendar month of the year during which their height and weight were measured by DHS personnel. 

The complementary variables HWCDAYMEAS (HC17) and HWCYEARMEAS (HC19) report the day (of the month) and the year, respectively, of the young household member's height and weight measurement.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4209" name="M_HWCYEARMEAS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Date measured (year) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1990" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5 who were potential subjects for height and weight measurement, HWCYEARMEAS (HC19) reports the year during which their height and weight were measured by DHS personnel. 

The complementary variables  HWCDAYMEAS (HC17) and  HWCMONTHMEAS (HC18) report the day and the month, respectively, of the young household member's height and weight measurement.]]>
      </txt>
      <catgry>
        <catValu>
          1990
        </catValu>
        <labl>
          1990
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1991
        </catValu>
        <labl>
          1991
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1992
        </catValu>
        <labl>
          1992
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1993
        </catValu>
        <labl>
          1993
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2018
        </catValu>
        <labl>
          2018
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4210" name="M_HWCDAYOFBIRTH" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Day of birth (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5 who were potential subjects for height and weight measurement, HWCDAYOFBIRTH (HC16) reports the day of the month on which the child was born.

The DHS recode manuals report that the day of birth of the child

is used in conjunction with the date of measurement of the child to more finely calculate the age of the child in days when computing anthropometric measures. This level of accuracy can be important in very young children. The age of the child calculated from the day of birth information is not used as a background characteristic for tabulations, but purely to produce a more accurate set of anthropometric measures.

DHS analysis thus uses HWCDAYOFBIRTH and the date of the child's height and weight measurement to precisely calculate child malnutrition indicators such as height-for-age (stunting) and weight-for-age (underweight) Z-scores.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4211" name="M_BIRTHMONTHLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Month of birth (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIRTHMONTHLT5 (HC30) reports the calendar month of birth of household members under age 5 who were potential subjects for height and weight measurement. 

The complementary variable  BIRTHYEARLT5 (HC31) reports the household member's calendar year of birth.  BIRTHCMCLT5 (HC32) reports the century month code for the household member's date of birth.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          January
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          February
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          March
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          April
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          May
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          June
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          July
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          August
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          September
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          October
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          November
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          December
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4212" name="M_BIRTHYEARLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Year of birth (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1994" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIRTHYEARLT5 (HC31) reports the calendar year of birth of household members under age 5 who were potential subjects for height and weight measurement. 

The complementary variable BIRTHMONTHLT5(HC30) reports the household member's calendar month of birth. BIRTHCMCLT5 (HC32) reports the century month code for the household member's date of birth.]]>
      </txt>
      <catgry>
        <catValu>
          1994
        </catValu>
        <labl>
          1994
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1995
        </catValu>
        <labl>
          1995
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1996
        </catValu>
        <labl>
          1996
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1997
        </catValu>
        <labl>
          1997
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1998
        </catValu>
        <labl>
          1998
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1999
        </catValu>
        <labl>
          1999
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2000
        </catValu>
        <labl>
          2000
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          2001
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          2002
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          2003
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2004
        </catValu>
        <labl>
          2004
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2005
        </catValu>
        <labl>
          2005
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2006
        </catValu>
        <labl>
          2006
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2007
        </catValu>
        <labl>
          2007
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2008
        </catValu>
        <labl>
          2008
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2009
        </catValu>
        <labl>
          2009
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2010
        </catValu>
        <labl>
          2010
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2011
        </catValu>
        <labl>
          2011
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2012
        </catValu>
        <labl>
          2012
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2013
        </catValu>
        <labl>
          2013
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2014
        </catValu>
        <labl>
          2014
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2015
        </catValu>
        <labl>
          2015
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2016
        </catValu>
        <labl>
          2016
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2017
        </catValu>
        <labl>
          2017
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2018
        </catValu>
        <labl>
          2018
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Inconsistent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4213" name="M_BIRTHCMCLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Date of birth (CMC) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1137" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BIRTHCMCLT5 (HC32) reports the century month code for the date of birth of household members under age 5 who were potential subjects for height and weight measurement. 

The complementary variable BIRTHMONTHLT5 (HC30) reports the household member's calendar month of birth. BIRTHYEARLT5 (HC31) reports the household member's calendar year of birth.

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].

The century month codes reported in BIRTHCMCLT5 are calculated using the Gregorian calculator.]]>
      </txt>
      <catgry>
        <catValu>
          1137
        </catValu>
        <labl>
          1137
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1138
        </catValu>
        <labl>
          1138
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1139
        </catValu>
        <labl>
          1139
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1140
        </catValu>
        <labl>
          1140
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1141
        </catValu>
        <labl>
          1141
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1142
        </catValu>
        <labl>
          1142
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1143
        </catValu>
        <labl>
          1143
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1144
        </catValu>
        <labl>
          1144
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1145
        </catValu>
        <labl>
          1145
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1146
        </catValu>
        <labl>
          1146
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1147
        </catValu>
        <labl>
          1147
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1148
        </catValu>
        <labl>
          1148
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1149
        </catValu>
        <labl>
          1149
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1150
        </catValu>
        <labl>
          1150
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1151
        </catValu>
        <labl>
          1151
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1152
        </catValu>
        <labl>
          1152
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1153
        </catValu>
        <labl>
          1153
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1154
        </catValu>
        <labl>
          1154
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1155
        </catValu>
        <labl>
          1155
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1156
        </catValu>
        <labl>
          1156
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1157
        </catValu>
        <labl>
          1157
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1158
        </catValu>
        <labl>
          1158
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1159
        </catValu>
        <labl>
          1159
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1160
        </catValu>
        <labl>
          1160
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1161
        </catValu>
        <labl>
          1161
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1162
        </catValu>
        <labl>
          1162
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1163
        </catValu>
        <labl>
          1163
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1164
        </catValu>
        <labl>
          1164
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1165
        </catValu>
        <labl>
          1165
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1166
        </catValu>
        <labl>
          1166
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1167
        </catValu>
        <labl>
          1167
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1168
        </catValu>
        <labl>
          1168
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1169
        </catValu>
        <labl>
          1169
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1170
        </catValu>
        <labl>
          1170
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1171
        </catValu>
        <labl>
          1171
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1172
        </catValu>
        <labl>
          1172
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1173
        </catValu>
        <labl>
          1173
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1174
        </catValu>
        <labl>
          1174
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1175
        </catValu>
        <labl>
          1175
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1176
        </catValu>
        <labl>
          1176
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1177
        </catValu>
        <labl>
          1177
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1178
        </catValu>
        <labl>
          1178
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1179
        </catValu>
        <labl>
          1179
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1180
        </catValu>
        <labl>
          1180
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1181
        </catValu>
        <labl>
          1181
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1182
        </catValu>
        <labl>
          1182
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1183
        </catValu>
        <labl>
          1183
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1184
        </catValu>
        <labl>
          1184
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1185
        </catValu>
        <labl>
          1185
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1186
        </catValu>
        <labl>
          1186
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1187
        </catValu>
        <labl>
          1187
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1188
        </catValu>
        <labl>
          1188
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1189
        </catValu>
        <labl>
          1189
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1190
        </catValu>
        <labl>
          1190
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1191
        </catValu>
        <labl>
          1191
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1192
        </catValu>
        <labl>
          1192
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1193
        </catValu>
        <labl>
          1193
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1194
        </catValu>
        <labl>
          1194
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1195
        </catValu>
        <labl>
          1195
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1196
        </catValu>
        <labl>
          1196
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1197
        </catValu>
        <labl>
          1197
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1198
        </catValu>
        <labl>
          1198
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1199
        </catValu>
        <labl>
          1199
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1200
        </catValu>
        <labl>
          1200
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          1201
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          1202
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          1203
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          1204
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          1205
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1206
        </catValu>
        <labl>
          1206
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1207
        </catValu>
        <labl>
          1207
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1208
        </catValu>
        <labl>
          1208
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1209
        </catValu>
        <labl>
          1209
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1210
        </catValu>
        <labl>
          1210
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1211
        </catValu>
        <labl>
          1211
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1212
        </catValu>
        <labl>
          1212
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1213
        </catValu>
        <labl>
          1213
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1214
        </catValu>
        <labl>
          1214
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1215
        </catValu>
        <labl>
          1215
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1216
        </catValu>
        <labl>
          1216
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1217
        </catValu>
        <labl>
          1217
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1218
        </catValu>
        <labl>
          1218
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1219
        </catValu>
        <labl>
          1219
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1220
        </catValu>
        <labl>
          1220
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1221
        </catValu>
        <labl>
          1221
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1222
        </catValu>
        <labl>
          1222
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1223
        </catValu>
        <labl>
          1223
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1224
        </catValu>
        <labl>
          1224
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1225
        </catValu>
        <labl>
          1225
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1226
        </catValu>
        <labl>
          1226
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1227
        </catValu>
        <labl>
          1227
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1228
        </catValu>
        <labl>
          1228
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1229
        </catValu>
        <labl>
          1229
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1230
        </catValu>
        <labl>
          1230
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1231
        </catValu>
        <labl>
          1231
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1232
        </catValu>
        <labl>
          1232
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1233
        </catValu>
        <labl>
          1233
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1234
        </catValu>
        <labl>
          1234
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1235
        </catValu>
        <labl>
          1235
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1236
        </catValu>
        <labl>
          1236
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1237
        </catValu>
        <labl>
          1237
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1238
        </catValu>
        <labl>
          1238
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1239
        </catValu>
        <labl>
          1239
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1240
        </catValu>
        <labl>
          1240
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1241
        </catValu>
        <labl>
          1241
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1242
        </catValu>
        <labl>
          1242
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1243
        </catValu>
        <labl>
          1243
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1244
        </catValu>
        <labl>
          1244
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1245
        </catValu>
        <labl>
          1245
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1246
        </catValu>
        <labl>
          1246
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1247
        </catValu>
        <labl>
          1247
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1248
        </catValu>
        <labl>
          1248
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1249
        </catValu>
        <labl>
          1249
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1250
        </catValu>
        <labl>
          1250
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1251
        </catValu>
        <labl>
          1251
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1252
        </catValu>
        <labl>
          1252
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1253
        </catValu>
        <labl>
          1253
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1254
        </catValu>
        <labl>
          1254
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1255
        </catValu>
        <labl>
          1255
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1256
        </catValu>
        <labl>
          1256
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1257
        </catValu>
        <labl>
          1257
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1258
        </catValu>
        <labl>
          1258
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1259
        </catValu>
        <labl>
          1259
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1260
        </catValu>
        <labl>
          1260
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1261
        </catValu>
        <labl>
          1261
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1262
        </catValu>
        <labl>
          1262
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1263
        </catValu>
        <labl>
          1263
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1264
        </catValu>
        <labl>
          1264
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1265
        </catValu>
        <labl>
          1265
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1266
        </catValu>
        <labl>
          1266
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1267
        </catValu>
        <labl>
          1267
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1268
        </catValu>
        <labl>
          1268
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1269
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        <catValu>
          1415
        </catValu>
        <labl>
          1415
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1416
        </catValu>
        <labl>
          1416
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1417
        </catValu>
        <labl>
          1417
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1418
        </catValu>
        <labl>
          1418
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1419
        </catValu>
        <labl>
          1419
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1420
        </catValu>
        <labl>
          1420
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4214" name="M_BIRTHDATECOMPLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information: Date of birth (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        BIRTHDATECOMPLT5 (HC33) reports the completeness of information about the age and date of birth of household members under age 5 who were potential subjects for height and weight measurement.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Month and age reported, year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year and age reported, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Year reported, age and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Age reported, year and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Month reported, age and year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Year and age reported, year ignored
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          All values imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4215" name="M_SEXHHLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Sex (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        SEXHHLT5 (HC27) reports the sex of household members under age 5 who were potential subjects for height and weight measurement. The information in this variable is copied from SEX (HV104), which reports sex for all household members.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4216" name="M_HWCHAZNCHS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Height for age standard deviations from reference median (CDC standards) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9997" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5, HWCHAZNCHS (HC5) reports the difference between their height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. HWCHAZNCHS values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWCHAZNCHS by 100 will yield height-for-age Z-score (HAZ) value. 

Low height-for-age, or "stunting," is an indicator of chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a height-for-age Z-score (HAZ) between -2 and -3 to represent moderate chronic malnutrition, and HAZ scores below -3 to represent severe chronic malnutrition. 

Reference populations used to generate HWCHAZNCHS draw from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data. This reference was considered standard by WHO until the 2006 release of the WHO Multicenter Growth Reference Study (MGRS), which generated new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. DHS has continued to release anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release. 

DHS has also created anthropometric Z-score variables using WHO MGRS 2006 reference populations. The variable  HWCHAZWHO (HC70) uses WHO MGRS 2006 reference populations to generate height-for-age Z-scores. This variable was generated for all DHS samples including the necessary anthropometric measurements, including those preceding 2006.

 HWCHEIGHT (HC3) reports the young household member's length or height as measured by DHS personnel. See this variable and HWCHTHOWMEAS (HC15) for specifics on length/height measurement. The related variable  AGEMOHHLT5 (HC1) reports the young household member's age in months at the time of measurement.

The complementary DHS variable  HWCHTAPCT (HC4) reports the height-for-age percentile within the same reference population used in HWCHAZNCHS. The complementary DHS variable  HWCWTAPCTRM (HC9) reports the height-for-age as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status; users are advised to consult anthropometry literature [URL omitted from DDI.] for further discussion.]]>
      </txt>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4217" name="M_HWCHAZWHO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Height for age standard deviations (new WHO) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5, HWCHAZWHO (HC70) reports the difference between their height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWCHAZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWCHAZWHO by 100 will yield a height-for-age Z-score (HAZ) value. 

Low height-for-age, or "stunting," is an indicator of chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.]   considers a height-for-age Z-score (HAZ) between -2 and -3 to represent moderate chronic malnutrition, and HAZ below -3 to represent severe chronic malnutrition. 

Reference populations used to generate HWCHAZWHO draw from the WHO Multicenter Growth Reference Study (MGRS) [URL omitted from DDI.]  released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated height-for-age Z scores using WHO MGRS reference data. 

Prior to the WHO MGRS, DHS anthropometry reference populations drew from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.], which was the previous international standard reference. The DHS variable  HWCHAZNCHS (HC5) reports the young household member's height-for-age Z-score value using the NCHS/CDC 1978 reference population. DHS has continued to release versions of all child anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release.

 HWCHEIGHT (HC3) reports the young household member's length or height as measured by DHS personnel. See this variable and HWCHTHOWMEAS (HC15) for specifics on length/height measurement. The related variable  AGEMOHHLT5 (HC1) reports age in months at the time of measurement.]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Height out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Age in days out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4218" name="M_HWCHTAPCT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Height for age percentile (CDC standards) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5 who were potential subjects for height and weight measurement, HWCHTAPCT (HC4) reports their height-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.  

Low child height-for-age, or "stunting," is an indicator of chronic malnutrition,
The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
HWCHEIGHT (HC3) reports the young household member's length or height as measured by DHS personnel. See this variable and HWCHTHOWMEAS (HC15) for specifics on length/height measurement. The related variable  AGEMOHHLT5 (HC1) reports the young household member's age in months at the time of measurement.

For an alternative measure of stunting in terms of height-for-age for the same reference population, see  HWCHAZNCHS (HC5). HWCHAZNCHS reports the difference between the young household member's height and the median height of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4219" name="M_HWCHTAPCTRM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Height for age percent of reference median (CDC standards) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99998" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5, HWCHTAPCTRM (HC6) reports their height-for-age as a percent of the median height for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.  Low height-for-age, or "stunting," is an indicator of chronic malnutrition,

 HWCHEIGHT (HC3) reports the young household member's length or height as measured by DHS personnel. See this variable and HWCHTHOWMEAS (HC15) for specifics on length/height measurement. The related variable  AGEMOHHLT5 (HC1) reports the young household member's age in months at the time of measurement.

The similar variable  HWCHTAPCT (HC4) reports the height-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.

For an alternative measure of stunting in terms of height-for-age, see HWCHAZNCHS (HC5).  HWCHAZNCHS reports the difference between the young household member's height and the median height of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4220" name="M_HWCWAZNCHS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Weight for age standard deviations from reference median (CDC standards) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9997" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5, HWCWAZNCHS (HC8) reports the difference between their weight and the median weight of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. HWCWAZNCHS values are provided in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWCWAZNCHS by 100 will yield a weight-for-age Z-score (WAZ) value. 

Low weight-for-age, or "underweight," is a composite indicator of acute and/or chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-age Z-score (WAZ) between -2 and -3 to represent moderate malnutrition, and WAZ below -3 to represent severe malnutrition.

Reference populations used to generate HWCWAZNCHS draw from 1978 U.S. National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data. This reference was considered standard by WHO until the 2006 release of the WHO Multicenter Growth Reference Study (MGRS), which generated new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. 

DHS has also created anthropometric Z-score variables using WHO MGRS 2006 reference populations.  HWCWAZWHO (HC71) uses WHO MGRS 2006 reference populations to generate weight-for-age Z-scores. This variable was generated for all samples including the necessary anthropometric measurements, including those preceding 2006.

 HWCWEIGHT (HC2) reports the young household member's weight in kilograms as measured by DHS personnel.  AGEMOHHLT5 (HC1) reports the age in months at the time of measurement.]]>
      </txt>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4221" name="M_HWCWAZWHO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Weight for age standard deviations (new WHO) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under the age of 5, HWCWAZWHO (HC71) reports the difference between their weight and the median weight of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWCWAZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWCWAZWHO by 100 will yield a weight-for-age Z-score (WAZ) value. 

Low child weight-for-age, or "underweight," is a composite indicator of acute and/or chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-age Z-score (WAZ) between -2 and -3 to represent moderate malnutrition, and WAZ below -3 to represent severe malnutrition.

Reference populations used to generate HWCWAZWHO draw from the WHO Multicenter Growth Reference Study (MGRS) [URL omitted from DDI.] released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated weight-for-age Z scores using WHO MGRS reference data. 

Prior to the WHO MGRS, DHS anthropometry reference populations drew from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data, which was the previous international standard reference. The DHS variable  HWCWAZNCHS (HC8) reports the young household member's weight-for-age Z-score value using the NCHS/CDC 1978 reference population. DHS has continued to release versions of all child anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release.

 HWCWEIGHT (HC2) reports the young household member's weight as measured by DHS personnel.  AGEMOHHLT5 (HC1) reports age in months at the time of measurement.]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Height out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Age in days out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4222" name="M_HWCWHZNCHS" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Weight for height standard deviations from reference median (CDC) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9997" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under the age of 5, HWCWHZNCHS (HC11) reports the difference between their weight and the median weight of a reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWCWHZNCHS values are provided in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWCWHZNCHS by 100 will yield a weight-for-height Z-score (WHZ) value. 

Low weight-for-height, or "wasting," is an indicator of acute malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-height Z-score (WHZ) between -2 and -3 to represent moderate acute malnutrition, and WHZ below -3 to represent severe acute malnutrition. 

Reference populations used to generate HWCWHZNCHS draw from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data. This reference was considered standard by WHO until the 2006 release of the WHO Multicenter Growth Reference Study (MGRS), which generated new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. DHS has continued to release anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release. 

DHS has also created anthropometric Z-score variables using WHO MGRS 2006 reference populations. The variable  HWCWHZWHO (HC72) uses WHO MGRS 2006 reference populations to generate weight-for-height Z-scores. This variable was generated for all DHS samples including the necessary anthropometric measurements, including those preceding 2006.

 HWCWEIGHT (HC2) reports the young household member's weight as measured by DHS personnel, and  HWCHEIGHT (HC3) reports their length or height as measured by DHS personnel. See HWCHEIGHT and HWCHTHOWMEAS (HC15) for specifics on length/height measurement.

The complementary DHS variable  HWCWTHTPCT (HC10) reports the young household member's weight-for-height percentile within the same reference population used in HWCWHZNCHS.  The complementary DHS variable  HWCWTHTPCTRM (HC12) reports the weight-for-height as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status; users are advised to consult anthropometry literature [URL omitted from DDI.] for further discussion.]]>
      </txt>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (Not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4223" name="M_HWCWHZWHO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Weight for height standard deviations (new WHO) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under the age of 5, HWCWHZWHO (HC72) reports the difference between their weight and the median weight of a reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWCWHZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWCWHZWHO by 100 will yield a weight-for-height Z-score (WHZ) value. 

Low child weight-for-height, or "wasting," is an indicator of acute malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-height Z-score (WHZ) between -2 and -3 to represent moderate acute malnutrition, and WHZ below -3 to represent severe acute malnutrition.

Reference populations used to generate HWCWHZWHO draw from the WHO Multicenter Growth Reference Study (MGRS) [URL omitted from DDI.] released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated weight-for-height Z scores using WHO MGRS reference data. 

Prior to the WHO MGRS, DHS anthropometry reference populations drew from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data, which was the previous international standard reference. The DHS variable  HWCWHZNCHS (HC11) reports the young household member's weight-for-height Z-score value using the NCHS/CDC 1978 reference population. DHS has continued to release versions of all anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release.

 HWCWEIGHT (HC2) reports the young household member's weight in kilograms as measured by DHS personnel.   HWCHEIGHT (HC3) reports their length or height in centimeters as measured by DHS personnel. See HWCHEIGHT and  HWCHTHOWMEAS (HC15) for specifics on length/height measurement.]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Height out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Age in days out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4224" name="M_HWCWTAPCT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Weight for age percentile (CDC standards) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5, HWCWTAPCT (HC7) reports their weight-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.  

Low weight-for-age, or "underweight," is an indicator of chronic and/or acute malnutrition. The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
 HWCWEIGHT (HC2) reports the young household member's weight as measured by DHS personnel. The related variable AGEMOHHLT5 (HC1) reports age in months at the time of measurement.

For an alternative measure of wasting in terms of weight-for-age using the same reference population, see  HWCWAZNCHS (HC8). HWCWAZNCHS reports the difference between the young household member's weight and the median weight of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4225" name="M_HWCWTAPCTRM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Weight for age percent of the reference median (CDC standards) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99998" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5, HWCWTAPCTRM (HC9) reports their weight-for-age as a percent of the median weight for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.  Low weight-for-age, or "underweight," is an indicator of acute and/or chronic malnutrition,

 HWCWEIGHT (HC2) reports the young household member's weight as measured by DHS personnel. The related variable AGEMOHHLT5 (HC1) reports age in months at the time of measurement.

The similar variable  HWCWTAPCT (HC7) reports the young household member's weight-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.

For an alternative measure of stunting in terms of weight-for-age and using the same reference population, see  HWCWAZNCHS (HC8).  HWCWAZNCHS reports the difference between the height and the median weight of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4226" name="M_HWCWTHTPCT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percentile (CDC standards) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9998" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5, HWCWTHTPCT (HC10) reports their weight-for-height percentile, based on smoothed percentile growth charts by height and sex developed by the U.S. Centers for Disease Control.  

Low weight-for-height, or "wasting," is an indicator of acute malnutrition. The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
 HWCWEIGHT (HC2) reports the young household member's weight as measured by DHS personnel.  HWCHEIGHT (HC3) reports their measured height in centimeters. The related variable  AGEMOHHLT5 (HC1) reports age in months at the time of measurement.

For an alternative measure of wasting in terms of weight-for-height using the same reference population, see  HWCWHZNCHS (HC11). HWCWHZNCHS reports the difference between the young household member's weight and the median weight of the CDC reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4227" name="M_HWCWTHTPCTRM" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Weight for height percent of reference median (CDC standards) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="99998" max="99999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5, HWCWTHTPCTRM (HC12) reports their weight-for-height as a percent of the median weight in growth charts by height and sex developed by the U.S. Centers for Disease Control.  

Low weight-for-height, or "wasting," is an indicator of acute malnutrition. The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
 HWCWEIGHT (HC2) reports the young household member's weight as measured by DHS personnel.  HWCHEIGHT (HC3) reports their measured height in centimeters. The related variable  AGEMOHHLT5 (HC1) reports age in months at the time of measurement.

For an alternative measure of wasting in terms of weight-for-height using the same reference population, see  HWCWHZNCHS (HC11).  HWCWHZNCHS reports the difference between the young household member's weight and the median weight of the CDC reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution.]]>
      </txt>
      <catgry>
        <catValu>
          99998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4228" name="M_HWCBMIZWHO" files="F4" dcml="0" intrvl="discrete">
      <labl>
        BMI standard deviation (new WHO) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9996" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under the age of 5, HWCBMIZWHO (HC73) reports the difference between their body mass index (BMI) and the median BMI of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. HWCBMIZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWCBMIZWHO by 100 will yield a BMI-for-age Z-score (BMIZ) value. 

BMI is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) squared. Considered in relation to a reference population, BMI-for-age is valuable for assessing either underweight or overweight status, and particularly useful in settings where malnutrition and obesity coexist. 

Reference populations used to generate HWCBMIZWHO draw from the WHO Multicenter Growth Reference Study (MGRS)  [URL omitted from DDI.] released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated BMI-for-age Z scores using WHO MGRS reference data. DHS does not calculate BMI-for-age measures using the reference populations that preceded WHO MGRS (the 1978 U.S. CDC National Center for Health Statistics International Growth Reference data).

The original height and weight values used to calculate BMI are also included in the DHS.   HWCWEIGHT (HC2) reports the young household member's weight in kilograms as measured by DHS personnel;  HWCHEIGHT (HC3) reports their length or height in centimeters as measured by DHS personnel. See HWCHEIGHT and  HWCHTHOWMEAS (HC15) for specifics on child length/height measurement. The related variable  AGEMOHHLT5 (HC1) reports age in months at the time of measurement.]]>
      </txt>
      <catgry>
        <catValu>
          9996
        </catValu>
        <labl>
          Height out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9997
        </catValu>
        <labl>
          Age in days out of plausible limits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Flagged cases
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4229" name="M_LINENOPARENTHHLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Line number of parent/caretaker (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        LINENOPARENTHHLT5 (HC51) reports the line number, in the household listing, of the parent or caretaker of household members under age 5 whose hemoglobin levels were measured, based on blood drawn by DHS personnel.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4230" name="M_HEMOCONSENTHHLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Read consent statement - hemoglobin (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under age 5, HEMOCONSENTHHLT5 (HC52) indicates whether permission was granted for their blood to be drawn and tested for hemoglobin level (as an indicator of anemia) or, if not, why not. Interviewers read a statement about hemoglobin testing and requested permission to draw and test the individual's blood for hemoglobin level; blood was drawn only if consent was given by a parent or guardian.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Not granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Consent statement not read
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Consent form not signed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4231" name="M_HEMOLEVELHHLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Hemoglobin level (g/dl - 1 decimal) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="994" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For household members under age 5, HEMOLEVELHHLT5 (HC53) reports the level of hemoglobin in their blood, in terms of grams per deciliter (g/dl), based on testing of blood drawn by DHS personnel. Hemoglobin levels are tested to determine the presence and severity of anemia. HEMOLEVELHHLT5 is a 3-digit variable with 1 implied decimal place.  

For a summary statement of the young household member's anemia status, based on grouped hemoglobin level results, see  ANEMIALVLHHLT5 (HC57).]]>
      </txt>
      <catgry>
        <catValu>
          994
        </catValu>
        <labl>
          Information not collected (CS)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4232" name="M_LINENOMOMHHLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Mother's line number (woman's questionnaire) (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under age 5 who were potential subjects for height and weight measurement, LINENOMOMHHLT5 (HC60) reports the line number, as reported in the woman's questionnaire, of their mothers.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          995
        </catValu>
        <labl>
          Mother not de facto member of HH
        </labl>
      </catgry>
      <catgry>
        <catValu>
          996
        </catValu>
        <labl>
          Incomplete woman's interview
        </labl>
      </catgry>
      <catgry>
        <catValu>
          997
        </catValu>
        <labl>
          Not in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4233" name="M_EDYRMOMLT5" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Mother's highest year of education (Members under age 5)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For household members under age 5 who were potential subjects for height and weight measurement, EDYRMOMLT5 (HC62) reports the number of years of education completed at the highest level of schooling achieved (primary, secondary, or higher) by their mothers, as reported in the woman's questionnaire.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          0
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don’t know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Child blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4234" name="M_HWMAGE" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Age in years (Male household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="14" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWMAGE (HB1) reports the age, as reported in the household record (see HHAGE), of male household members who were potential subjects for height and weight measurement.
      </txt>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Male anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4235" name="M_HWMBIRTHCMC" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Date of birth (CMC) (Male household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="9999" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWMBIRTHCMC (HB32) reports the century month code for the date of birth of male household members who were potential subjects for height and weight measurement.
      </txt>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Male anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4236" name="M_HWMBIRTHDATECOMP" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Completeness of information: Date of birth (Male household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWMBIRTHDATECOMP (HB33) reports the completeness of information about the age and date of birth of adult male household members who were potential subjects for height and weight measurement.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Month and year reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Month and age reported, year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Year and age reported, month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Year reported, age and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Age reported, year and month imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Month reported, age and year imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Year and age reported, year ignored
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          All values imputed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Male anthropometry Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4237" name="M_CIGDAYNOMEN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of cigarettes in last 24 hours (Male household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For male household members, CIGDAYNOMEN (HB35) reports the number of cigarettes smoked in the last 24 hours.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Doesn't smoke
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          28
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          29
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          30
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          31
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          32
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          33
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          34
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          35
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          36
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          37
        </labl>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          38
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          39
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          40
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          41
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          42
        </labl>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          43
        </labl>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          44
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          45
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <labl>
          46
        </labl>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <labl>
          47
        </labl>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          48
        </labl>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <labl>
          49
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          50
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          51
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          52
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          53
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          54
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          55
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          56
        </labl>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          57
        </labl>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          58
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          59
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          60
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          61
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          62
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          63
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          64
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          65
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          66
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          67
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          68
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          69
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          70
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          71
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          72
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          73
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          74
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          75
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          76
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          77
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          78
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          79
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          80 or more
        </labl>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Smokes pipes/cigars
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Don't know
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Male blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4238" name="M_HWMHIVCONSENT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Read consent statement - HIV (Male household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For adult male household members, HWMHIVCONSENT (HB61) indicates whether permission was granted for blood to be drawn and tested for HIV or, if not, why not. Interviewers read a statement about HIV testing and requested permission to draw and test the individual's blood for HIV.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Granted
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Parent/caretaker refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Respondent refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Adult/parent not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Minor not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Sample not tested/lost/not enough DBS
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Male blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4239" name="M_HWMHIVTEST" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Whether blood taken for HIV test (Male household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="10" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        For adult male household members, HWMHIVTEST (HB63) indicates whether their blood was drawn by DHS personnel to be tested for HIV, or, if not, why their blood was not taken. All "no" responses have a common first digit of "2," while the second digit reveals the reason (e.g., not present, refused, technical problem).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Blood taken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Blood not taken
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Not present
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Sample not tested/lost/damaged/insufficient
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          "
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Not enough DBS to complete protocol
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Technical problems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Information not collected (CS)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Male blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4240" name="M_HWMUNDER18" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Under age 18 (Male household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For male household members who were potential subjects for height, weight, and hemoglobin measurement, HWMUNDER18 (HB50) indicates whether they were under or over age 18 at the time of the interview.

The information in this variable was used by DHS personnel to determine whether a male household member needed consent from a parent/caretaker to conduct hemoglobin measurements.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Under age 18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Age 18 or older
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Male blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4241" name="M_HWMLINENOPARENT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Line number of parent/caretaker (Male household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        HWMLINENOPARENT (HB51) reports the line number, in the household listing, of the parent or caretaker of male household members under age 18 whose hemoglobin levels were measured, based on blood drawn by DHS personnel.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not in household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          2
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          4
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          5
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          6
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          7
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          8
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          9
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          10
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          11
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          12
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          13
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          14
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          15
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          16
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          17
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          18
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          19
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          20
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          21
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          22
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          23
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          24
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          25
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          26
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          27
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Previously married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Male blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4242" name="M_HWMMARSTAT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Marital status (Male household members)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[For male household members who were potential subjects for height, weight, and hemoglobin measurement, HWMMARSTAT (HB60) indicates whether they had ever been married or in a union.

This variable was typically used to help DHS personnel determine from whom consent could be obtained, in cases where the male household member was under age 18 and could not grant consent himself.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never in union
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Male blood testing Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4243" name="M_SOIL" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Soil type
      </labl>
      <valrng>
        <range UNITS="REAL" min="-9" max="3004"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOIL reports the predominant soil type within a 5 kilometer circular buffer around each DHS cluster location. The soil attributes reported in SOIL are: soil class (e.g., Leptosols) and soil type within that class (e.g., Lithic Leptosols). SOIL is available for every IPUMS-DHS sample with GPS data.

There are 118 different soil types in the world. Please see the User Note on Using IPUMS-DHS Contextual Variables: Soil [URL omitted from DDI.] or the list of soils and the 4-digit codes [URL omitted from DDI.] (e.g., 1703) consisting of the 2-digit soil class code followed by the 2-digit soil type code. The User note also describes the data source and methodology used to calculate this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols (Alumic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Haplic (undetermined) Acrisols (Ferric or Humic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Plinthic Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Vetic Acrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Haplic (undetermined) Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Histic Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Umbric Albeluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Cutanic Alisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Haplic (undetermined) Alisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Aluandic Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Haplic (undetermined) Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Vitric Andosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Albic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Ferralic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Haplic (undetermined) Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Haplic (undetermined) Arenosols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Hypoluvic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          506
        </catValu>
        <labl>
          Protic Arenosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Haplic (undetermined) Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Haplic (undetermined) Calcisols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Luvic Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Petric Calcisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Endogleyic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Ferralic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          707
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          708
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Humic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          709
        </catValu>
        <labl>
          Haplic (undetermined) Cambisols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Leptic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Vertic Cambisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Calcic Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Haplic (undetermined) Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Luvic Chernozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          901
        </catValu>
        <labl>
          Haplic (undetermined) Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          902
        </catValu>
        <labl>
          Turbic Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          903
        </catValu>
        <labl>
          Vitric Cryosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1001
        </catValu>
        <labl>
          Petric Durisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Acric Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols (Rhodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Haplic (undetermined) Ferralsols (Xanthic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1105
        </catValu>
        <labl>
          Umbric Ferralsols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Arenic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Calcaric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1204
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1205
        </catValu>
        <labl>
          Haplic (undetermined) Fluvisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Calcic Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Haplic (undetermined) Gleysols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1305
        </catValu>
        <labl>
          Mollic Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1306
        </catValu>
        <labl>
          Umbric Gleysols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Calcic Gypsisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Haplic (undetermined) Gypsisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1501
        </catValu>
        <labl>
          Calcic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1502
        </catValu>
        <labl>
          Cryic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1503
        </catValu>
        <labl>
          Fibric Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1504
        </catValu>
        <labl>
          Hemic Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1505
        </catValu>
        <labl>
          Sapric Histosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1601
        </catValu>
        <labl>
          Calcic Kastanozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1602
        </catValu>
        <labl>
          Haplic (undetermined) Kastanozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Haplic (undetermined) Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Haplic (undetermined) Leptosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          Lithic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          Mollic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1705
        </catValu>
        <labl>
          Rendzic Leptosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Haplic (undetermined) Lixisols (Ferric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Albic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Calcic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Gleyic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols (Chromic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1906
        </catValu>
        <labl>
          Haplic (undetermined) Luvisols (Ferric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1907
        </catValu>
        <labl>
          Leptic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1908
        </catValu>
        <labl>
          Stagnic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1909
        </catValu>
        <labl>
          Vertic Luvisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Alic Nitisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          Haplic (undetermined) Nitisols (Rhodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Haplic (undetermined) Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Leptic Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Luvic Phaeozems
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Endogleyic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Haplic (undetermined) Planosols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Haplic (undetermined) Planosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Luvic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Solodic Planosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Acric Plinthosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Lixic Plinthosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Gleyic Podzols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Haplic (undetermined) Podzols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Aric Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Calcaric Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Dystric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Haplic (undetermined) Regosols (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2506
        </catValu>
        <labl>
          Leptic Regosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2601
        </catValu>
        <labl>
          Gypsic Solonchaks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2602
        </catValu>
        <labl>
          Haplic (undetermined) Solonchaks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2603
        </catValu>
        <labl>
          Haplic (undetermined) Solonchaks (Sodic)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2701
        </catValu>
        <labl>
          Calcic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2702
        </catValu>
        <labl>
          Gleyic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2703
        </catValu>
        <labl>
          Haplic (undetermined) Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2704
        </catValu>
        <labl>
          Mollic Solonetz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Luvic Stagnosols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2901
        </catValu>
        <labl>
          Haplic (undetermined) Umbrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2902
        </catValu>
        <labl>
          Leptic Umbrisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3001
        </catValu>
        <labl>
          Calcic Vertisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3002
        </catValu>
        <labl>
          Haplic (undetermined) Vertisols
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3003
        </catValu>
        <labl>
          Haplic (undetermined) Vertisols (Eutric)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3004
        </catValu>
        <labl>
          Mollic Vertisols
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4244" name="M_ECOREGION" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Ecoregion of household
      </labl>
      <valrng>
        <range UNITS="REAL" min="-9999" max="81333"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[ECOREGION reports the predominant terrestrial ecoregion within a 5 kilometer circular buffer around each DHS cluster location. ECOREGION reports the biogeographic region (e.g., Afrotropic), the habitat type (e.g., tropical and subtropical grasslands, savannas, and shrublands), and the ecoregion (e.g., East Sudanian savanna) that are associated with each cluster location. ECOREGION is available for every IPUMS-DHS sample with GPS data. 

There are 825 terrestrial ecoregions in the world. The 5-digit codes in ECOREGION (e.g., AT0705) include a 1-digit realm code, followed by a 2-digit biome code and a 2-digit ecoregion number.  For the full list of codes and their meaning, see the User Note on Using IPUMS-DHS Contextual Variables: Ecoregions [URL omitted from DDI.]. The User Note also describes the data sources and the methodology used to create this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -9999
        </catValu>
        <labl>
          Rock and Ice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          -9998
        </catValu>
        <labl>
          Lake
        </labl>
      </catgry>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Banda Sea Islands moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Buru rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10106
        </catValu>
        <labl>
          Halmahera rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10123
        </catValu>
        <labl>
          Sulawesi lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10124
        </catValu>
        <labl>
          Sulawesi montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10201
        </catValu>
        <labl>
          Lesser Sundas deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10203
        </catValu>
        <labl>
          Sumba deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10204
        </catValu>
        <labl>
          Timor and Wetar deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30101
        </catValu>
        <labl>
          Albertine Rift montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30102
        </catValu>
        <labl>
          Atlantic Equatorial coastal forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30103
        </catValu>
        <labl>
          Cameroonian Highlands forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30104
        </catValu>
        <labl>
          Central Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30105
        </catValu>
        <labl>
          Comoros forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30106
        </catValu>
        <labl>
          Cross-Niger transition forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30107
        </catValu>
        <labl>
          Cross-Sanaga-Bioko coastal forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30108
        </catValu>
        <labl>
          East African montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30109
        </catValu>
        <labl>
          Eastern Arc forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30110
        </catValu>
        <labl>
          Eastern Congolian swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30111
        </catValu>
        <labl>
          Eastern Guinean forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30112
        </catValu>
        <labl>
          Ethiopian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30113
        </catValu>
        <labl>
          Granitic Seychelles forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30114
        </catValu>
        <labl>
          Guinean montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30115
        </catValu>
        <labl>
          Knysna-Amatole montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30116
        </catValu>
        <labl>
          KwaZulu-Cape coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30117
        </catValu>
        <labl>
          Madagascar lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30118
        </catValu>
        <labl>
          Madagascar subhumid forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30119
        </catValu>
        <labl>
          Maputaland coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30121
        </catValu>
        <labl>
          Mount Cameroon and Bioko montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30122
        </catValu>
        <labl>
          Niger Delta swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30123
        </catValu>
        <labl>
          Nigerian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30124
        </catValu>
        <labl>
          Northeastern Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30125
        </catValu>
        <labl>
          Northern Zanzibar-Inhambane coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30126
        </catValu>
        <labl>
          Northwestern Congolian lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30127
        </catValu>
        <labl>
          Sao Tome, Principe and Annobon moist lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30128
        </catValu>
        <labl>
          Southern Zanzibar-Inhambane coastal forest mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30129
        </catValu>
        <labl>
          Western Congolian swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30130
        </catValu>
        <labl>
          Western Guinean lowland forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30202
        </catValu>
        <labl>
          Madagascar dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30203
        </catValu>
        <labl>
          Zambezian Cryptosepalum dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30701
        </catValu>
        <labl>
          Angolan Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30702
        </catValu>
        <labl>
          Angolan Mopane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30704
        </catValu>
        <labl>
          Central Zambezian Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30705
        </catValu>
        <labl>
          East Sudanian savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30706
        </catValu>
        <labl>
          Eastern Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30707
        </catValu>
        <labl>
          Guinean forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30708
        </catValu>
        <labl>
          Itigi-Sumbu thicket
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30709
        </catValu>
        <labl>
          Kalahari Acacia-Baikiaea woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30710
        </catValu>
        <labl>
          Mandara Plateau mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30711
        </catValu>
        <labl>
          Northern Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30712
        </catValu>
        <labl>
          Northern Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30713
        </catValu>
        <labl>
          Sahelian Acacia savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30714
        </catValu>
        <labl>
          Serengeti volcanic grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30715
        </catValu>
        <labl>
          Somali Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30716
        </catValu>
        <labl>
          Southern Acacia-Commiphora bushlands and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30717
        </catValu>
        <labl>
          Southern Africa bushveld
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30718
        </catValu>
        <labl>
          Southern Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30719
        </catValu>
        <labl>
          Southern Miombo woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30721
        </catValu>
        <labl>
          Victoria Basin forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30722
        </catValu>
        <labl>
          West Sudanian savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30723
        </catValu>
        <labl>
          Western Congolian forest-savanna mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30724
        </catValu>
        <labl>
          Western Zambezian grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30725
        </catValu>
        <labl>
          Zambezian and Mopane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30726
        </catValu>
        <labl>
          Zambezian Baikiaea woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30901
        </catValu>
        <labl>
          East African halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30902
        </catValu>
        <labl>
          Etosha Pan halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30903
        </catValu>
        <labl>
          Inner Niger Delta flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30904
        </catValu>
        <labl>
          Lake Chad flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30905
        </catValu>
        <labl>
          Saharan flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30906
        </catValu>
        <labl>
          Zambezian coastal flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30907
        </catValu>
        <labl>
          Zambezian flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30908
        </catValu>
        <labl>
          Zambezian halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31001
        </catValu>
        <labl>
          Angolan montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31002
        </catValu>
        <labl>
          Angolan scarp savanna and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31003
        </catValu>
        <labl>
          Drakensberg alti-montane grasslands and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31004
        </catValu>
        <labl>
          Drakensberg montane grasslands, woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31005
        </catValu>
        <labl>
          East African montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31006
        </catValu>
        <labl>
          Eastern Zimbabwe montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31007
        </catValu>
        <labl>
          Ethiopian montane grasslands and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31008
        </catValu>
        <labl>
          Ethiopian montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31009
        </catValu>
        <labl>
          Highveld grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31010
        </catValu>
        <labl>
          Jos Plateau forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31011
        </catValu>
        <labl>
          Madagascar ericoid thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31012
        </catValu>
        <labl>
          Maputaland-Pondoland bushland and thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31013
        </catValu>
        <labl>
          Rwenzori-Virunga montane moorlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31014
        </catValu>
        <labl>
          South Malawi montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31015
        </catValu>
        <labl>
          Southern Rift montane forest-grassland mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31203
        </catValu>
        <labl>
          Montane fynbos and renosterveld
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31301
        </catValu>
        <labl>
          Aldabra Island xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31302
        </catValu>
        <labl>
          Arabian Peninsula coastal fog desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31304
        </catValu>
        <labl>
          Eritrean coastal desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31305
        </catValu>
        <labl>
          Ethiopian xeric grasslands and shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31308
        </catValu>
        <labl>
          Ile Europa and Bassas da India xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31309
        </catValu>
        <labl>
          Kalahari xeric savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31310
        </catValu>
        <labl>
          Kaokoveld desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31311
        </catValu>
        <labl>
          Madagascar spiny thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31312
        </catValu>
        <labl>
          Madagascar succulent woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31313
        </catValu>
        <labl>
          Masai xeric grasslands and shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31314
        </catValu>
        <labl>
          Nama Karoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31315
        </catValu>
        <labl>
          Namib desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31316
        </catValu>
        <labl>
          Namibian savanna woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31319
        </catValu>
        <labl>
          Somali montane xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31320
        </catValu>
        <labl>
          Southwestern Arabian foothills savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31322
        </catValu>
        <labl>
          Succulent Karoo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31401
        </catValu>
        <labl>
          Central African mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31402
        </catValu>
        <labl>
          East African mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31403
        </catValu>
        <labl>
          Guinean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31404
        </catValu>
        <labl>
          Madagascar mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31405
        </catValu>
        <labl>
          Southern Africa mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40102
        </catValu>
        <labl>
          Borneo lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40103
        </catValu>
        <labl>
          Borneo montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40104
        </catValu>
        <labl>
          Borneo peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40105
        </catValu>
        <labl>
          Brahmaputra Valley semi-evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40106
        </catValu>
        <labl>
          Cardamom Mountains rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40107
        </catValu>
        <labl>
          Chao Phraya freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40108
        </catValu>
        <labl>
          Chao Phraya lowland moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40109
        </catValu>
        <labl>
          Chin Hills-Arakan Yoma montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40111
        </catValu>
        <labl>
          Eastern highlands moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40112
        </catValu>
        <labl>
          Eastern Java-Bali montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40113
        </catValu>
        <labl>
          Eastern Java-Bali rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40114
        </catValu>
        <labl>
          Greater Negros-Panay rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40115
        </catValu>
        <labl>
          Himalayan subtropical broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40117
        </catValu>
        <labl>
          Irrawaddy moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40120
        </catValu>
        <labl>
          Lower Gangetic Plains moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40121
        </catValu>
        <labl>
          Luang Prabang montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40122
        </catValu>
        <labl>
          Luzon montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40123
        </catValu>
        <labl>
          Luzon rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40125
        </catValu>
        <labl>
          Maldives-Lakshadweep-Chagos Archipelago tropical moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40126
        </catValu>
        <labl>
          Meghalaya subtropical forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40127
        </catValu>
        <labl>
          Mentawai Islands rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40128
        </catValu>
        <labl>
          Mindanao montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40129
        </catValu>
        <labl>
          Mindanao-Eastern Visayas rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40130
        </catValu>
        <labl>
          Mindoro rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40131
        </catValu>
        <labl>
          Mizoram-Manipur-Kachin rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40132
        </catValu>
        <labl>
          Myanmar coastal rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40136
        </catValu>
        <labl>
          Northern Annamites rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40138
        </catValu>
        <labl>
          Northern Khorat Plateau moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40139
        </catValu>
        <labl>
          Northern Thailand-Laos moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40141
        </catValu>
        <labl>
          Northern Vietnam lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40142
        </catValu>
        <labl>
          Orissa semi-evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40143
        </catValu>
        <labl>
          Palawan rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40144
        </catValu>
        <labl>
          Peninsular Malaysian montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40145
        </catValu>
        <labl>
          Peninsular Malaysian peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40146
        </catValu>
        <labl>
          Peninsular Malaysian rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40148
        </catValu>
        <labl>
          South China Sea Islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40149
        </catValu>
        <labl>
          South China-Vietnam subtropical evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40152
        </catValu>
        <labl>
          Southern Annamites montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40153
        </catValu>
        <labl>
          Southwest Borneo freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40156
        </catValu>
        <labl>
          Sulu Archipelago rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40157
        </catValu>
        <labl>
          Sumatran freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40158
        </catValu>
        <labl>
          Sumatran lowland rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40159
        </catValu>
        <labl>
          Sumatran montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40160
        </catValu>
        <labl>
          Sumatran peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40161
        </catValu>
        <labl>
          Sundaland heath forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40162
        </catValu>
        <labl>
          Sundarbans freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40163
        </catValu>
        <labl>
          Tenasserim-South Thailand semi-evergreen rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40164
        </catValu>
        <labl>
          Tonle Sap freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40165
        </catValu>
        <labl>
          Tonle Sap-Mekong peat swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40166
        </catValu>
        <labl>
          Upper Gangetic Plains moist deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40167
        </catValu>
        <labl>
          Western Java montane rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40168
        </catValu>
        <labl>
          Western Java rain forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40202
        </catValu>
        <labl>
          Central Indochina dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40203
        </catValu>
        <labl>
          Chhota-Nagpur dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40205
        </catValu>
        <labl>
          Irrawaddy dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40206
        </catValu>
        <labl>
          Khathiar-Gir dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40207
        </catValu>
        <labl>
          Narmada Valley dry deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40210
        </catValu>
        <labl>
          Southeastern Indochina dry evergreen forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40211
        </catValu>
        <labl>
          Southern Vietnam lowland dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40301
        </catValu>
        <labl>
          Himalayan subtropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40302
        </catValu>
        <labl>
          Luzon tropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40303
        </catValu>
        <labl>
          Northeast India-Myanmar pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40304
        </catValu>
        <labl>
          Sumatran tropical pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40401
        </catValu>
        <labl>
          Eastern Himalayan broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40403
        </catValu>
        <labl>
          Western Himalayan broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40501
        </catValu>
        <labl>
          Eastern Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40502
        </catValu>
        <labl>
          Western Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40701
        </catValu>
        <labl>
          Terai-Duar savanna and grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40901
        </catValu>
        <labl>
          Rann of Kutch seasonal salt marsh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41001
        </catValu>
        <labl>
          Kinabalu montane alpine meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41302
        </catValu>
        <labl>
          Indus Valley desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41303
        </catValu>
        <labl>
          Northwestern thorn scrub forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41304
        </catValu>
        <labl>
          Thar desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41402
        </catValu>
        <labl>
          Indochina mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41403
        </catValu>
        <labl>
          Indus River Delta-Arabian Sea mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41404
        </catValu>
        <labl>
          Myanmar Coast mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41405
        </catValu>
        <labl>
          Sunda Shelf mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41406
        </catValu>
        <labl>
          Sundarbans mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60105
        </catValu>
        <labl>
          Bolivian Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60107
        </catValu>
        <labl>
          Caqueta moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60108
        </catValu>
        <labl>
          Catatumbo moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60109
        </catValu>
        <labl>
          Cauca Valley montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60110
        </catValu>
        <labl>
          Cayos Miskitos-San Andrés and Providencia moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60111
        </catValu>
        <labl>
          Central American Atlantic moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60112
        </catValu>
        <labl>
          Central American montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60113
        </catValu>
        <labl>
          Chiapas montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60115
        </catValu>
        <labl>
          Chocó-Darién moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60117
        </catValu>
        <labl>
          Cordillera La Costa montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60118
        </catValu>
        <labl>
          Cordillera Oriental montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60119
        </catValu>
        <labl>
          Costa Rican seasonal moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60120
        </catValu>
        <labl>
          Cuban moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60121
        </catValu>
        <labl>
          Eastern Cordillera real montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60122
        </catValu>
        <labl>
          Eastern Panamanian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60124
        </catValu>
        <labl>
          Guianan Highlands moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60125
        </catValu>
        <labl>
          Guianan moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60127
        </catValu>
        <labl>
          Hispaniolan moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60128
        </catValu>
        <labl>
          Iquitos varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60129
        </catValu>
        <labl>
          Isthmian-Atlantic moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60130
        </catValu>
        <labl>
          Isthmian-Pacific moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60132
        </catValu>
        <labl>
          Japurá-Solimoes-Negro moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60133
        </catValu>
        <labl>
          Juruá-Purus moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60135
        </catValu>
        <labl>
          Madeira-Tapajós moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60136
        </catValu>
        <labl>
          Magdalena Valley montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60137
        </catValu>
        <labl>
          Magdalena-Urabá moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60141
        </catValu>
        <labl>
          Monte Alegre varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60142
        </catValu>
        <labl>
          Napo moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60143
        </catValu>
        <labl>
          Negro-Branco moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60145
        </catValu>
        <labl>
          Northwestern Andean montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60147
        </catValu>
        <labl>
          Orinoco Delta swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60149
        </catValu>
        <labl>
          Guianan freshwater swamp forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60153
        </catValu>
        <labl>
          Peruvian Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60154
        </catValu>
        <labl>
          Petén-Veracruz moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60156
        </catValu>
        <labl>
          Purus varzeá
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60157
        </catValu>
        <labl>
          Purus-Madeira moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60158
        </catValu>
        <labl>
          Rio Negro campinarana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60159
        </catValu>
        <labl>
          Santa Marta montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60162
        </catValu>
        <labl>
          Sierra Madre de Chiapas moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60163
        </catValu>
        <labl>
          Solimões-Japurá moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60165
        </catValu>
        <labl>
          Southern Andean Yungas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60166
        </catValu>
        <labl>
          Southwest Amazon moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60167
        </catValu>
        <labl>
          Talamancan montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60169
        </catValu>
        <labl>
          Pantepui
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60171
        </catValu>
        <labl>
          Trinidad and Tobago moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60173
        </catValu>
        <labl>
          Uatuma-Trombetas moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60174
        </catValu>
        <labl>
          Ucayali moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60175
        </catValu>
        <labl>
          Venezuelan Andes montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60178
        </catValu>
        <labl>
          Western Ecuador moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60181
        </catValu>
        <labl>
          Yucatán moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60182
        </catValu>
        <labl>
          Guianan piedmont and lowland moist forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60201
        </catValu>
        <labl>
          Apure-Villavicencio dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60206
        </catValu>
        <labl>
          Bolivian montane dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60207
        </catValu>
        <labl>
          Cauca Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60209
        </catValu>
        <labl>
          Central American dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60210
        </catValu>
        <labl>
          Dry Chaco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60211
        </catValu>
        <labl>
          Chiapas Depression dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60212
        </catValu>
        <labl>
          Chiquitano dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60213
        </catValu>
        <labl>
          Cuban dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60214
        </catValu>
        <labl>
          Ecuadorian dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60215
        </catValu>
        <labl>
          Hispaniolan dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60219
        </catValu>
        <labl>
          Lara-Falcón dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60220
        </catValu>
        <labl>
          Lesser Antillean dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60221
        </catValu>
        <labl>
          Magdalena Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60222
        </catValu>
        <labl>
          Maracaibo dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60223
        </catValu>
        <labl>
          Marañón dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60224
        </catValu>
        <labl>
          Panamanian dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60225
        </catValu>
        <labl>
          Patía Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60226
        </catValu>
        <labl>
          Puerto Rican dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60229
        </catValu>
        <labl>
          Sinú Valley dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60230
        </catValu>
        <labl>
          Southern Pacific dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60232
        </catValu>
        <labl>
          Tumbes-Piura dry forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60301
        </catValu>
        <labl>
          Bahamian pine mosaic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60302
        </catValu>
        <labl>
          Belizian pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60303
        </catValu>
        <labl>
          Central American pine-oak forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60304
        </catValu>
        <labl>
          Cuban pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60305
        </catValu>
        <labl>
          Hispaniolan pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60306
        </catValu>
        <labl>
          Miskito pine forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60702
        </catValu>
        <labl>
          Beni savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60704
        </catValu>
        <labl>
          Cerrado
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60707
        </catValu>
        <labl>
          Guianan savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60709
        </catValu>
        <labl>
          Llanos
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60903
        </catValu>
        <labl>
          Enriquillo wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60905
        </catValu>
        <labl>
          Guayaquil flooded grasslands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60906
        </catValu>
        <labl>
          Orinoco wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60907
        </catValu>
        <labl>
          Pantanal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61001
        </catValu>
        <labl>
          Central Andean dry puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61002
        </catValu>
        <labl>
          Central Andean puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61003
        </catValu>
        <labl>
          Central Andean wet puna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61004
        </catValu>
        <labl>
          Cordillera Central páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61005
        </catValu>
        <labl>
          Cordillera de Merida páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61006
        </catValu>
        <labl>
          Northern Andean páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61007
        </catValu>
        <labl>
          Santa Marta páramo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61010
        </catValu>
        <labl>
          High Monte
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61303
        </catValu>
        <labl>
          Atacama desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61305
        </catValu>
        <labl>
          Caribbean shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61306
        </catValu>
        <labl>
          Cuban cactus scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61308
        </catValu>
        <labl>
          Guajira-Barranquilla xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61309
        </catValu>
        <labl>
          La Costa xeric shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61312
        </catValu>
        <labl>
          Motagua Valley thornscrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61313
        </catValu>
        <labl>
          Paraguana xeric scrub
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61315
        </catValu>
        <labl>
          Sechura desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61401
        </catValu>
        <labl>
          Amazon-Orinoco-Southern Caribbean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61402
        </catValu>
        <labl>
          Bahamian-Antillean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61403
        </catValu>
        <labl>
          Mesoamerican Gulf-Caribbean mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61405
        </catValu>
        <labl>
          South American Pacific mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61407
        </catValu>
        <labl>
          Southern Mesoamerican Pacific mangroves
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80404
        </catValu>
        <labl>
          Balkan mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80407
        </catValu>
        <labl>
          Caspian Hyrcanian mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80408
        </catValu>
        <labl>
          Caucasus mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80412
        </catValu>
        <labl>
          Central European mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80418
        </catValu>
        <labl>
          Dinaric Mountains mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80419
        </catValu>
        <labl>
          East European forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80422
        </catValu>
        <labl>
          Euxine-Colchic broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80431
        </catValu>
        <labl>
          Pannonian mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80435
        </catValu>
        <labl>
          Rodope montane mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80446
        </catValu>
        <labl>
          Zagros Mountains forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80504
        </catValu>
        <labl>
          Carpathian montane forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80506
        </catValu>
        <labl>
          East Afghan montane conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80507
        </catValu>
        <labl>
          Elburz Range forest steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80513
        </catValu>
        <labl>
          Mediterranean conifer and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80514
        </catValu>
        <labl>
          Northeastern Himalayan subalpine conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80515
        </catValu>
        <labl>
          Northern Anatolian conifer and deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80521
        </catValu>
        <labl>
          Tian Shan montane conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80801
        </catValu>
        <labl>
          Alai-Western Tian Shan steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80805
        </catValu>
        <labl>
          Eastern Anatolian montane steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80808
        </catValu>
        <labl>
          Gissaro-Alai open woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80812
        </catValu>
        <labl>
          Middle East steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80814
        </catValu>
        <labl>
          Pontic steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80818
        </catValu>
        <labl>
          Tian Shan foothill arid steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80904
        </catValu>
        <labl>
          Nile Delta flooded savanna
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80905
        </catValu>
        <labl>
          Saharan halophytics
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81002
        </catValu>
        <labl>
          Central Tibetan Plateau alpine steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81003
        </catValu>
        <labl>
          Eastern Himalayan alpine shrub and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81004
        </catValu>
        <labl>
          Ghorat-Hazarajat alpine meadow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81005
        </catValu>
        <labl>
          Hindu Kush alpine meadow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81006
        </catValu>
        <labl>
          Karakoram-West Tibetan Plateau alpine steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81009
        </catValu>
        <labl>
          Kuh Rud and Eastern Iran montane woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81010
        </catValu>
        <labl>
          Mediterranean High Atlas juniper steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81011
        </catValu>
        <labl>
          North Tibetan Plateau-Kunlun Mountains alpine desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81012
        </catValu>
        <labl>
          Northwestern Himalayan alpine shrub and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81014
        </catValu>
        <labl>
          Pamir alpine desert and tundra
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81018
        </catValu>
        <labl>
          Sulaiman Range alpine meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81019
        </catValu>
        <labl>
          Tian Shan montane steppe and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81020
        </catValu>
        <labl>
          Tibetan Plateau alpine shrublands and meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81021
        </catValu>
        <labl>
          Western Himalayan alpine shrub and Meadows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81022
        </catValu>
        <labl>
          Yarlung Tsangpo arid steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81201
        </catValu>
        <labl>
          Aegean and Western Turkey sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81203
        </catValu>
        <labl>
          Canary Islands dry woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81207
        </catValu>
        <labl>
          Eastern Mediterranean conifer-sclerophyllous-broadleaf forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81208
        </catValu>
        <labl>
          Iberian conifer forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81209
        </catValu>
        <labl>
          Iberian sclerophyllous and semi-deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81210
        </catValu>
        <labl>
          Illyrian deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81212
        </catValu>
        <labl>
          Mediterranean acacia-argania dry woodlands and succulent thickets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81213
        </catValu>
        <labl>
          Mediterranean dry woodlands and steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81214
        </catValu>
        <labl>
          Mediterranean woodlands and forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81217
        </catValu>
        <labl>
          Pindus Mountains mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81219
        </catValu>
        <labl>
          Southeastern Iberian shrubs and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81220
        </catValu>
        <labl>
          Southern Anatolian montane conifer and deciduous forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81221
        </catValu>
        <labl>
          Southwest Iberian Mediterranean sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81222
        </catValu>
        <labl>
          Tyrrhenian-Adriatic Sclerophyllous and mixed forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81301
        </catValu>
        <labl>
          Afghan Mountains semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81303
        </catValu>
        <labl>
          Arabian Desert and East Sahero-Arabian xeric shrublands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81304
        </catValu>
        <labl>
          Atlantic coastal desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81305
        </catValu>
        <labl>
          Azerbaijan shrub desert and steppe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81306
        </catValu>
        <labl>
          Badghyz and Karabil semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81307
        </catValu>
        <labl>
          Baluchistan xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81309
        </catValu>
        <labl>
          Central Afghan Mountains xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81310
        </catValu>
        <labl>
          Central Asian northern desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81311
        </catValu>
        <labl>
          Central Asian riparian woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81312
        </catValu>
        <labl>
          Central Asian southern desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81318
        </catValu>
        <labl>
          Kazakh semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81320
        </catValu>
        <labl>
          Mesopotamian shrub desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81321
        </catValu>
        <labl>
          North Saharan steppe and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81322
        </catValu>
        <labl>
          Paropamisus xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81325
        </catValu>
        <labl>
          Red Sea Nubo-Sindian tropical desert and semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81326
        </catValu>
        <labl>
          Registan-North Pakistan sandy desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81327
        </catValu>
        <labl>
          Sahara desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81328
        </catValu>
        <labl>
          South Iran Nubo-Sindian desert and semi-desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81329
        </catValu>
        <labl>
          South Saharan steppe and woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81330
        </catValu>
        <labl>
          Taklimakan desert
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81332
        </catValu>
        <labl>
          West Saharan montane xeric woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81333
        </catValu>
        <labl>
          Red Sea coastal desert
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4245" name="M_LIVELIHOOD" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Livelihood zone of household
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="834999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[LIVELIHOOD reports the predominant livelihood zone within a 5 kilometer circular buffer around each DHS cluster location. Livelihood can be used as an indicator for sources of food and/or income and a measure for people's vulnerability to hazards, such as flood, drought, food crisis, market disruption, or conflicts. LIVELIHOOD is available for a subset of the DHS samples with GPS cluster information. 
 
Livelihood zones are country-specific; therefore, codes and labels for LIVELIHOOD vary across   countries. The 6-character codes (e.g., 854001) include the 3-digit country code (e.g., 854), followed by the 3-digit numeric livelihood (e.g., West cotton and cereals) code. Please see the User Note on Using IPUMS-DHS Contextual Variables: Livelihood Zones [URL omitted from DDI.] or the list of livelihood zones' labels and codes, categorized by country [URL omitted from DDI.]. The User Note also discusses the data sources and methodology used to calculate this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Coastal fishing, horticulture, and non-farm income
        </labl>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Transitional banana and pineapple farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Southern livestock, millet, and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Sub humid livestock and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Mid-eastern cassava and savannah forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Central highlands potato and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          Central highlands maize and beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Transitional lowland maize, cassava, and beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          Tropical forest, cassava, banana, and coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Southeast cassava, peanuts, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Northeast hunting and food crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1403
        </catValu>
        <labl>
          Northern sorghum and millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1404
        </catValu>
        <labl>
          East central mining, cassava, and peanuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1405
        </catValu>
        <labl>
          Southern coffee, cassava, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1406
        </catValu>
        <labl>
          Central cassava, peanuts, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1407
        </catValu>
        <labl>
          Central cotton, cassava, and maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1408
        </catValu>
        <labl>
          Northern cotton, cassava, and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1409
        </catValu>
        <labl>
          Western cassava, maize, and peanuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Copperbelt and Marginal Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Savannah Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Savannah Surplus Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1804
        </catValu>
        <labl>
          Kamalondo Depression
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1805
        </catValu>
        <labl>
          Southern Tanganyika-Mwero Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1806
        </catValu>
        <labl>
          Maniema Savannah Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1807
        </catValu>
        <labl>
          High Food Production and Surplus Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1808
        </catValu>
        <labl>
          Northern Tanganyika Midland Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1809
        </catValu>
        <labl>
          Mountain Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2311
        </catValu>
        <labl>
          Abay Beshilo River Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2312
        </catValu>
        <labl>
          Abay Gorge Sesame, Maize &amp; Honey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2313
        </catValu>
        <labl>
          Abay Tekeze Watershed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2314
        </catValu>
        <labl>
          Abe Dongoro-Diga-Sasiga Coffee &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2315
        </catValu>
        <labl>
          Abijata Shala Jido Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2316
        </catValu>
        <labl>
          Adaba Dodola Community Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2317
        </catValu>
        <labl>
          Addis Ababa City
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2318
        </catValu>
        <labl>
          Adiyabo Lowland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2319
        </catValu>
        <labl>
          Afder Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2410
        </catValu>
        <labl>
          Savannah forest and market-oriented cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2411
        </catValu>
        <labl>
          Savannah forest and subsistence cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2412
        </catValu>
        <labl>
          Fishing, cassava, and cross-border trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2413
        </catValu>
        <labl>
          Coastal livestock ranching
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3241
        </catValu>
        <labl>
          Coastal: Rice, Fishing, Palm oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3242
        </catValu>
        <labl>
          Piedmont: Rice, Groundnut, Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3243
        </catValu>
        <labl>
          Central plateau: Horticulture, Fonio, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3244
        </catValu>
        <labl>
          Mountain: Livestock, Fonio, Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3245
        </catValu>
        <labl>
          Mountain : Rice, Livestock, Fonio
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3246
        </catValu>
        <labl>
          Northern plateau: Rice, Groundnut, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3247
        </catValu>
        <labl>
          Savannah with shrubs: Rice, Gold mining, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3248
        </catValu>
        <labl>
          Northeast: Maize, Gold mining, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3249
        </catValu>
        <labl>
          Wooded savannah: Rice, Manioc, Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3321
        </catValu>
        <labl>
          Dry Coastal Maize and Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3322
        </catValu>
        <labl>
          North Tubers and Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3323
        </catValu>
        <labl>
          Central Plateau Maize and Tubers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3324
        </catValu>
        <labl>
          Rice Plains of the Artibonite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3325
        </catValu>
        <labl>
          Western Banana Plains of Arcahaie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3326
        </catValu>
        <labl>
          West Gardening and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3327
        </catValu>
        <labl>
          South Beans, Bananas, and Petty Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3328
        </catValu>
        <labl>
          Southwestern Coast Maize, Manioc, and Bush Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3329
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3401
        </catValu>
        <labl>
          Garifuna Littoral and Bay Islands Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3402
        </catValu>
        <labl>
          Atlantic Littoral Palm Oil Production
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3403
        </catValu>
        <labl>
          Labor Income from Maquilas, Banana, and Sugarcane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3404
        </catValu>
        <labl>
          Mosquitia Hunting and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3405
        </catValu>
        <labl>
          Mountainous Coffee and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3406
        </catValu>
        <labl>
          Gulf of Fonseca Fishing and Salt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3407
        </catValu>
        <labl>
          Subsistence Grains and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3408
        </catValu>
        <labl>
          Labor Income from Melons and Shrimp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3409
        </catValu>
        <labl>
          Grains and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4041
        </catValu>
        <labl>
          Northwestern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4042
        </catValu>
        <labl>
          Turkwell Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4043
        </catValu>
        <labl>
          Northwestern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4044
        </catValu>
        <labl>
          Lake Turkana Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4045
        </catValu>
        <labl>
          Northern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4046
        </catValu>
        <labl>
          Marsabit Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4047
        </catValu>
        <labl>
          Northeastern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4048
        </catValu>
        <labl>
          Mandera Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4049
        </catValu>
        <labl>
          Northeastern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4261
        </catValu>
        <labl>
          Northern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4262
        </catValu>
        <labl>
          Southern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4263
        </catValu>
        <labl>
          Foothills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4264
        </catValu>
        <labl>
          Mountains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4265
        </catValu>
        <labl>
          Senqu River Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4301
        </catValu>
        <labl>
          North-East Rice Intercropped with Cowpeas, Groundnuts, and Palm Oil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4302
        </catValu>
        <labl>
          North and Central Rice with Cassava and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4303
        </catValu>
        <labl>
          South-East Rice with Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4304
        </catValu>
        <labl>
          Coastal Plain Cassava with Rice and River Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4305
        </catValu>
        <labl>
          Coastal Fishing and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4306
        </catValu>
        <labl>
          Rice Intercropped and Forest Hunting
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4307
        </catValu>
        <labl>
          Plantain Cash Crop with Food Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4308
        </catValu>
        <labl>
          Rubber and Charcoal with Food Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4309
        </catValu>
        <labl>
          Monrovia Peri-Urban: Petty Tade, Market Gardening, &amp; Casual Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4501
        </catValu>
        <labl>
          Extreme north: sugar cane, fishing, tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4502
        </catValu>
        <labl>
          North: vanilla, clove, coconut tree
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4503
        </catValu>
        <labl>
          Sofia River basin: tobacco, onion, fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4504
        </catValu>
        <labl>
          Northern highland: rice, zebu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4505
        </catValu>
        <labl>
          Betsiboka Delta: rice, fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4506
        </catValu>
        <labl>
          Upper Betsiboka: gold mining, rice, cows
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4507
        </catValu>
        <labl>
          Aloatra: rice, fishing, livestock rearing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4508
        </catValu>
        <labl>
          Toamasina: cloves, coffee, trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4509
        </catValu>
        <labl>
          West: rice, fishing, gathering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4541
        </catValu>
        <labl>
          Central Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4542
        </catValu>
        <labl>
          Chitipa Millet &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4543
        </catValu>
        <labl>
          Kasungu Lilongwe Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4544
        </catValu>
        <labl>
          Lake Chilwa - Phalombe Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4545
        </catValu>
        <labl>
          Lower Shire
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4546
        </catValu>
        <labl>
          Middle Shire Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4547
        </catValu>
        <labl>
          Misuku Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4548
        </catValu>
        <labl>
          Mzimba Self Sufficient
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4549
        </catValu>
        <labl>
          Nkhata Bay Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4661
        </catValu>
        <labl>
          Nomadism and Trans-Saharan Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4662
        </catValu>
        <labl>
          Northern Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4663
        </catValu>
        <labl>
          Niger Loop Rice and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4664
        </catValu>
        <labl>
          Central Livestock, Millet, and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4665
        </catValu>
        <labl>
          Dogon Plateau Millet and Shallots
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4666
        </catValu>
        <labl>
          Niger Delta Rice, Cattle, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4667
        </catValu>
        <labl>
          Office du NigerRice and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4668
        </catValu>
        <labl>
          Northwestern Sorghum, Remittances, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4669
        </catValu>
        <labl>
          Central Sorghum and Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5081
        </catValu>
        <labl>
          Lakeshore Basic Staples and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5082
        </catValu>
        <labl>
          Northern Highland Forest and Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5083
        </catValu>
        <labl>
          Northwestern Tobacco and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5084
        </catValu>
        <labl>
          Northern Cassava, Maize, and Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5085
        </catValu>
        <labl>
          Northern Highland with Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5086
        </catValu>
        <labl>
          Northeastern Highland Forest
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5087
        </catValu>
        <labl>
          Northeastern Cassava, Cashew, and Coconut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5088
        </catValu>
        <labl>
          North-Central Coastal Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5089
        </catValu>
        <labl>
          Plains with Cassava, Rice, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5621
        </catValu>
        <labl>
          North-east Oases: Dates, Salt and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5622
        </catValu>
        <labl>
          Massif Irrigated Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5623
        </catValu>
        <labl>
          Transhumant and Nomad Pastoralism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5624
        </catValu>
        <labl>
          Agropastoral Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5625
        </catValu>
        <labl>
          Rainfed Millet and Sorghum Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5626
        </catValu>
        <labl>
          Cropping and Herding with High Work Outmigration
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5627
        </catValu>
        <labl>
          Southern Irrigated Cash Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5628
        </catValu>
        <labl>
          Southwestern Cereals with Fan-Palm Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5629
        </catValu>
        <labl>
          Niger River Irrigated Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5661
        </catValu>
        <labl>
          Coastal Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5662
        </catValu>
        <labl>
          Southern Cocoa, Palm Oil, and Kola nut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5663
        </catValu>
        <labl>
          South-Central Yam, Cassava, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5664
        </catValu>
        <labl>
          Southeast Rice, Salt, and Granite
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5665
        </catValu>
        <labl>
          Niger and Benue River Floodplain Rice and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5666
        </catValu>
        <labl>
          Central Plain Yam and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5667
        </catValu>
        <labl>
          Mambilla Plateau Cattle, Cocoa, and Tea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5668
        </catValu>
        <labl>
          Central Highland Maize and Soybean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5669
        </catValu>
        <labl>
          Northeastern Highland Maize, Cocoyam, Potatoes, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6461
        </catValu>
        <labl>
          Lake Kivu Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6462
        </catValu>
        <labl>
          Western Congo-Nile Crest Tea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6463
        </catValu>
        <labl>
          Northwestern Volcanic Irish Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6464
        </catValu>
        <labl>
          Eastern Congo-Nile Highland Subsistence Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6465
        </catValu>
        <labl>
          Central Plateau Cassava and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6466
        </catValu>
        <labl>
          Northern Highland Beans and Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6467
        </catValu>
        <labl>
          Central-Northern Highland Irish Potato, Beans and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6468
        </catValu>
        <labl>
          Bugesera Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6469
        </catValu>
        <labl>
          Eastern Plateau Mixed Agricultural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6861
        </catValu>
        <labl>
          The Niayes Gardening and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6862
        </catValu>
        <labl>
          Delta Rice, Horticulture, and Agricultural Labor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6863
        </catValu>
        <labl>
          Valley Rice and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6864
        </catValu>
        <labl>
          Dieri Millet and Remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6865
        </catValu>
        <labl>
          Rainfed Cowpea and Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6866
        </catValu>
        <labl>
          Sylvopatoral Livestock and Gathering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6867
        </catValu>
        <labl>
          Small Coast Fishing and Tourism
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6868
        </catValu>
        <labl>
          Rainfed Groundnut and Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6869
        </catValu>
        <labl>
          Agropastoral Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6941
        </catValu>
        <labl>
          Tonkolili Food Crops and Gold
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6942
        </catValu>
        <labl>
          Bombali Food Crops, Peppers, Tobacco and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6943
        </catValu>
        <labl>
          Western Rice, Root Crops, Cereals and Trade Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6944
        </catValu>
        <labl>
          Coastal Food Crops and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6945
        </catValu>
        <labl>
          Kailahun-Kenema-Kono Cash Crops, Food Crops and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6946
        </catValu>
        <labl>
          Kono-Kenema-Bo Rice, Tree Crops and Timber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6947
        </catValu>
        <labl>
          Koinadugu Livestock, Food Crops and Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6948
        </catValu>
        <labl>
          Follosaba Dembelia and Wara Wara Yagala Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6949
        </catValu>
        <labl>
          Freetown Peri-Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7161
        </catValu>
        <labl>
          Agrofisheries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7162
        </catValu>
        <labl>
          Beitbridge South Western Lowveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7163
        </catValu>
        <labl>
          Bikita-Zaka Highlands Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7164
        </catValu>
        <labl>
          Central and Northern Semi Intensive Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7165
        </catValu>
        <labl>
          Cereal and High Cotton Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7166
        </catValu>
        <labl>
          Cereal and Low Cotton Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7167
        </catValu>
        <labl>
          Eastern Highlands Commercial Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7168
        </catValu>
        <labl>
          Eastern Highlands Prime Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7169
        </catValu>
        <labl>
          Eastern Kalahari Sandveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7621
        </catValu>
        <labl>
          Eastern Pamir Plateau Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7622
        </catValu>
        <labl>
          Western Pamir Valley Migratory Work Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7623
        </catValu>
        <labl>
          Western Pamir Irrigated Agriculture Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7624
        </catValu>
        <labl>
          Rasht Valley Irrigated Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7625
        </catValu>
        <labl>
          Khatlon Mountain Agro-Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7626
        </catValu>
        <labl>
          Southern Khatlon Cotton, Vegetable and Wheat Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7627
        </catValu>
        <labl>
          Khatlon Rainfed Wheat and Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7628
        </catValu>
        <labl>
          Central and Eastern Tajikistan Agro-Industrial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7629
        </catValu>
        <labl>
          Eastern and Central Zeravshan Valley Agro-Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          North Eastern Karamoja Highland Apiculture and Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Western Karamoja Mixed Crop Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8003
        </catValu>
        <labl>
          South Eastern Karamoja Cattle Maize Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8004
        </catValu>
        <labl>
          Karamoja Mountain and Foot Hills Maize and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8005
        </catValu>
        <labl>
          Central Karamoja Sorghum and Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8006
        </catValu>
        <labl>
          NE Sorghum Simsim Maize Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8007
        </catValu>
        <labl>
          North Kitgum Gulu Amuru West Nile Simsim Sorghum Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8008
        </catValu>
        <labl>
          Palabek Tobacco Simsim Sorghum and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8009
        </catValu>
        <labl>
          South Kitgum Pader Abim Simsim Groundnuts Sorghum Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8341
        </catValu>
        <labl>
          Southern Maasai Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8342
        </catValu>
        <labl>
          River Pangani Paddy and Maize Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8343
        </catValu>
        <labl>
          Tanga Maize and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8344
        </catValu>
        <labl>
          Tanga Maize and Sisal Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8345
        </catValu>
        <labl>
          Usambara-Pare Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8346
        </catValu>
        <labl>
          Tanga Maize, Orange, and Jackfruit Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8347
        </catValu>
        <labl>
          Tanga-Pwani Coastal Maize, Paddy Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8348
        </catValu>
        <labl>
          Handeni-Bagamoyo Maize, Cassava, and Fruit Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8349
        </catValu>
        <labl>
          Loliondo Midland Maize, Beans, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8541
        </catValu>
        <labl>
          South tubers and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8542
        </catValu>
        <labl>
          Southwest fruits, cotton, and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8543
        </catValu>
        <labl>
          West cotton and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8544
        </catValu>
        <labl>
          West cereals and remittances
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8545
        </catValu>
        <labl>
          Central plateau cereals and market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8546
        </catValu>
        <labl>
          Ouagadougou peri-urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8547
        </catValu>
        <labl>
          North and east livestock and cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8548
        </catValu>
        <labl>
          North transhuman pastoralism and millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8549
        </catValu>
        <labl>
          Southeast cereals, livestock, forestry and faune
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8941
        </catValu>
        <labl>
          Northwest High Rainfall Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8942
        </catValu>
        <labl>
          Tuta-Luapula Corridor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8943
        </catValu>
        <labl>
          Northern Province Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8944
        </catValu>
        <labl>
          Copperbelt Mining Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8945
        </catValu>
        <labl>
          Mufumbwe-Kasempa Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8946
        </catValu>
        <labl>
          Muchinga Escarpment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8947
        </catValu>
        <labl>
          Central Maize-Cotton Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8948
        </catValu>
        <labl>
          Chama-Lundazi Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8949
        </catValu>
        <labl>
          Line Of Rail Commercial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10811
        </catValu>
        <labl>
          Buragane
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10812
        </catValu>
        <labl>
          Congo Ridge Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10813
        </catValu>
        <labl>
          Eastern Arid Plateaus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10814
        </catValu>
        <labl>
          Humid Plateaus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10815
        </catValu>
        <labl>
          Imbo Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10816
        </catValu>
        <labl>
          Northern Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10817
        </catValu>
        <labl>
          Eastern Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10818
        </catValu>
        <labl>
          Southern Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14010
        </catValu>
        <labl>
          Southern maize, citrus fruits, and vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14011
        </catValu>
        <labl>
          Southwest cassava, coffee, gathering, and mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18010
        </catValu>
        <labl>
          Midland Agricultural Savannah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18011
        </catValu>
        <labl>
          Virunga Volcanic Soils Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18012
        </catValu>
        <labl>
          Forest Cultivation and Products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18013
        </catValu>
        <labl>
          Artisanal Mining with Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18014
        </catValu>
        <labl>
          Northeast Highlands Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18015
        </catValu>
        <labl>
          Orientale Fishing with Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18016
        </catValu>
        <labl>
          Northern Plateau Cassava, Maize, Groundnuts and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18017
        </catValu>
        <labl>
          Bumba Rice and Tubers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18018
        </catValu>
        <labl>
          Bomongo and Makanza Districts Intensive Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18019
        </catValu>
        <labl>
          Fishing and Staples Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18020
        </catValu>
        <labl>
          Cuvette Centrale Staple Crops, Fishing and Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18021
        </catValu>
        <labl>
          Equatorial Forest, Hunting, Fishing and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18022
        </catValu>
        <labl>
          Lighter Forest with Rice and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18023
        </catValu>
        <labl>
          Savannah with Cassava and Cowpeas and Small Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18024
        </catValu>
        <labl>
          Intensive Artisanal Diamond Exploitation with Crop Cultivation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18025
        </catValu>
        <labl>
          Clay Soils with High Production of Cassava and Maize, and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18026
        </catValu>
        <labl>
          High Food Crop Production and Trading
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18027
        </catValu>
        <labl>
          Agropastoral Staple Crops, Small Stock and Cattle and Wild Foods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18028
        </catValu>
        <labl>
          Agriculture with High Production and Marketing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18029
        </catValu>
        <labl>
          Cassava, Maize and Groundnuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18030
        </catValu>
        <labl>
          Market Gardening and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18031
        </catValu>
        <labl>
          River Fishing and Staple Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18032
        </catValu>
        <labl>
          Coastal Fishing and Kitchen Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18033
        </catValu>
        <labl>
          Forest Staple Crops, Cash Crops and Market Gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18034
        </catValu>
        <labl>
          Kinshasa Peri-urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23110
        </catValu>
        <labl>
          Agarfa, Gasera, Ginir &amp; Gololcha Fruit, Coffee &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23111
        </catValu>
        <labl>
          Alaba-Mareko Lowland Pepper LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23112
        </catValu>
        <labl>
          Alaje Ofla Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23113
        </catValu>
        <labl>
          Amaro Coffee and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23114
        </catValu>
        <labl>
          Ambo Selale Ginderberet Teff &amp; Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23115
        </catValu>
        <labl>
          Ameya-Wolisso-Ambo Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23116
        </catValu>
        <labl>
          Anfilo Coffee Monoculture &amp; Honey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23117
        </catValu>
        <labl>
          Anger Maize, Sorghum &amp; Finger Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23118
        </catValu>
        <labl>
          Aramiss - Adaar Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23119
        </catValu>
        <labl>
          Arsi Bale Wheat, Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23120
        </catValu>
        <labl>
          Asale Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23121
        </catValu>
        <labl>
          Asale Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23122
        </catValu>
        <labl>
          Atsbi Womberta Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23123
        </catValu>
        <labl>
          Awassa Chat and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23124
        </catValu>
        <labl>
          Awsa-Gewane Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23125
        </catValu>
        <labl>
          Badewacho-Alaba Maize LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23126
        </catValu>
        <labl>
          Bale Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23127
        </catValu>
        <labl>
          Bale Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23128
        </catValu>
        <labl>
          Basketo-Melo Coffee and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23129
        </catValu>
        <labl>
          Becho-Adea Teff &amp; Chickpea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23130
        </catValu>
        <labl>
          Bench-Keffa Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23131
        </catValu>
        <labl>
          Bilate Basin Agro-Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23132
        </catValu>
        <labl>
          Borena-Guji Cattle Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23133
        </catValu>
        <labl>
          Borena-Guji Coffee &amp; Enset
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23134
        </catValu>
        <labl>
          Borena-Guji Maize, Wheat &amp; Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23135
        </catValu>
        <labl>
          Central Highland Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23136
        </catValu>
        <labl>
          Central Horo Teff, Nug &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23137
        </catValu>
        <labl>
          Central Kolla Sorghum, Maize &amp; Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23138
        </catValu>
        <labl>
          Central Mixed Crop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23139
        </catValu>
        <labl>
          Chamo-Abaya Irrigated Banana LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23140
        </catValu>
        <labl>
          Chat &amp; Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23141
        </catValu>
        <labl>
          Chebo-Inchini Enset, Barley &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23142
        </catValu>
        <labl>
          Cheffa valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23143
        </catValu>
        <labl>
          Chenno Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23144
        </catValu>
        <labl>
          Chercher &amp; Gololcha Chole Coffee, Maize &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23145
        </catValu>
        <labl>
          Dale-Lalo Sorghum &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23146
        </catValu>
        <labl>
          Dallo, Barbare &amp; Arana-Buluk Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23147
        </catValu>
        <labl>
          Dawa-Ganale Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23148
        </catValu>
        <labl>
          Dawro-Konta Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23149
        </catValu>
        <labl>
          Degahbur Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23150
        </catValu>
        <labl>
          Didessa-Gibe-Wama Valley Sorghum, Maize &amp; Oilcrops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23151
        </catValu>
        <labl>
          Eastern Planteau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23152
        </catValu>
        <labl>
          Ebantu-Limu Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23153
        </catValu>
        <labl>
          Eli daar Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23154
        </catValu>
        <labl>
          Enderta Dry Midland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23155
        </catValu>
        <labl>
          Fik Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23156
        </catValu>
        <labl>
          Filtu-Dolo Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23157
        </catValu>
        <labl>
          Gambella Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23158
        </catValu>
        <labl>
          Gambella Coffee, Honey &amp; Cereal LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23159
        </catValu>
        <labl>
          Gambella Mixed Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23160
        </catValu>
        <labl>
          Gamo Gofa Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23161
        </catValu>
        <labl>
          Gamo Gofa Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23162
        </catValu>
        <labl>
          Gedeo Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23163
        </catValu>
        <labl>
          Gera-Setema-Sale Forest Teff, Honey &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23164
        </catValu>
        <labl>
          Gerbo Enset &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23165
        </catValu>
        <labl>
          Gesho and Wheat Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23166
        </catValu>
        <labl>
          Gibe Maize &amp; Peppers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23167
        </catValu>
        <labl>
          Gode Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23168
        </catValu>
        <labl>
          Goro-Ginir Spice &amp; Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23169
        </catValu>
        <labl>
          Guduru-Amuru Maize, Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23170
        </catValu>
        <labl>
          Guji-Borena Enset, Barley &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23171
        </catValu>
        <labl>
          Guna Highland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23172
        </catValu>
        <labl>
          Gurage Lowland Maize and Teff LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23173
        </catValu>
        <labl>
          Gurage-Siltie Enset and Teff LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23174
        </catValu>
        <labl>
          Gurage-Siltie Highland Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23175
        </catValu>
        <labl>
          Gurage-Siltie Midland Enset and Chat LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23176
        </catValu>
        <labl>
          Gursum-Babile Groundnuts &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23177
        </catValu>
        <labl>
          Hadero Ginger LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23178
        </catValu>
        <labl>
          Hadiya Maize LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23179
        </catValu>
        <labl>
          Hadiya-Kembata Cereal and Enset LZ - Hadiya sub zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23180
        </catValu>
        <labl>
          Hadiya-Kembata Cereal and Enset LZ - Kembata sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23181
        </catValu>
        <labl>
          Harshin-Degahbur East Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23182
        </catValu>
        <labl>
          Humera Sesame and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23183
        </catValu>
        <labl>
          Illu-Wellega-Birbir Maize, Peppers &amp; Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23184
        </catValu>
        <labl>
          Irob Mountains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23185
        </catValu>
        <labl>
          Jaldu-Dendi-Ilfata Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23186
        </catValu>
        <labl>
          Jijiga Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23187
        </catValu>
        <labl>
          Jijiga Sedentary Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23188
        </catValu>
        <labl>
          Jimma-Illubabur Coffee, Cereals &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23189
        </catValu>
        <labl>
          Jimma-Yama Logi Teff &amp; Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23190
        </catValu>
        <labl>
          Kaffa Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23191
        </catValu>
        <labl>
          Kedida-Badewacho Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23192
        </catValu>
        <labl>
          Kereyu Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23193
        </catValu>
        <labl>
          Keto-Begi Cereals &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23194
        </catValu>
        <labl>
          Kofele Kokosa Enset &amp; Cattle Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23195
        </catValu>
        <labl>
          Korahe Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23196
        </catValu>
        <labl>
          Korahe-Gode Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23197
        </catValu>
        <labl>
          Liban Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23198
        </catValu>
        <labl>
          Lowland-Hawd Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23199
        </catValu>
        <labl>
          Market-Isolated Cattle &amp; Shoat Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32410
        </catValu>
        <labl>
          Pre-forest zone: Rice, Manioc, Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32411
        </catValu>
        <labl>
          Forest: Rice, Palm oil, Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34010
        </catValu>
        <labl>
          Platano River Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34011
        </catValu>
        <labl>
          Urban Center
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40410
        </catValu>
        <labl>
          Grasslands Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40411
        </catValu>
        <labl>
          Southeastern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40412
        </catValu>
        <labl>
          Coastal Medium Potential Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40413
        </catValu>
        <labl>
          Coastal Marginal Agricultural Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40414
        </catValu>
        <labl>
          Tana Riverine Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40415
        </catValu>
        <labl>
          Southern Pastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40416
        </catValu>
        <labl>
          Southeastern Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40417
        </catValu>
        <labl>
          Southeastern Medium Potential, Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40418
        </catValu>
        <labl>
          Southern Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40419
        </catValu>
        <labl>
          Central Highlands, High Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40420
        </catValu>
        <labl>
          Western Medium Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40421
        </catValu>
        <labl>
          Western High Potential Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40422
        </catValu>
        <labl>
          Western Lakeshore Marginal Mixed Farming Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40423
        </catValu>
        <labl>
          Lake Victoria Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40424
        </catValu>
        <labl>
          Western Agropastoral Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45010
        </catValu>
        <labl>
          Agropastoral midwest: rice, maize, pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45011
        </catValu>
        <labl>
          Central Iarivo: rice, market gardening, eucalyptus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45012
        </catValu>
        <labl>
          Moramanga: forest, petty trade, market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45013
        </catValu>
        <labl>
          Center-east: litchi, coffee, citrus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45014
        </catValu>
        <labl>
          Ankaratra: staple crops, horticulture, milk
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45015
        </catValu>
        <labl>
          Tsirobihina Delta: rice, fishing, pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45016
        </catValu>
        <labl>
          South-central peneplain: rice, onion, small livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45017
        </catValu>
        <labl>
          Southern highlands: staple crops, crafts, market gardening
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45018
        </catValu>
        <labl>
          Corridor: forest products, banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45019
        </catValu>
        <labl>
          Southeast: coffee, litchi, cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45020
        </catValu>
        <labl>
          Southwest: rice, lima bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45021
        </catValu>
        <labl>
          Bara plateau: cows, cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45022
        </catValu>
        <labl>
          Center-south: staple crops, industrial sisal, zebu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45023
        </catValu>
        <labl>
          Mahafaly plateau: cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45024
        </catValu>
        <labl>
          Extreme south: cassava, maize, livestock rearing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45410
        </catValu>
        <labl>
          Northern Karonga
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45411
        </catValu>
        <labl>
          Northern Lakeshore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45412
        </catValu>
        <labl>
          Phirilongwe Hills
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45413
        </catValu>
        <labl>
          Rift Valley Escarpment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45414
        </catValu>
        <labl>
          Shire Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45415
        </catValu>
        <labl>
          Southern Lakeshore
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45416
        </catValu>
        <labl>
          Thyolo Mulunje Tea Estates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45417
        </catValu>
        <labl>
          Western Rumphi &amp; Mzimba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45418
        </catValu>
        <labl>
          Border Productive Horticulture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45420
        </catValu>
        <labl>
          National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45421
        </catValu>
        <labl>
          Lake Niassa islands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46610
        </catValu>
        <labl>
          Southeastern Sorghum, Millet, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46611
        </catValu>
        <labl>
          Southern Maize, Cotton, and Fruits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46612
        </catValu>
        <labl>
          Southwestern Maize, Livestock, and Gold Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46613
        </catValu>
        <labl>
          Center-eastern Millet and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46614
        </catValu>
        <labl>
          Lakes Recessional Millet and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46615
        </catValu>
        <labl>
          Western Groundnut, Sorghum, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          46616
        </catValu>
        <labl>
          Southwestern Gold Mining and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50810
        </catValu>
        <labl>
          Zambezi Valley with Maize and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50811
        </catValu>
        <labl>
          Northwestern Cropping and Cross-border Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50812
        </catValu>
        <labl>
          Coastal Sugarcane and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50813
        </catValu>
        <labl>
          Tete Highland Mixed Cropping, Tobbaco, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50814
        </catValu>
        <labl>
          Cahora Bassa Dam Sesame and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50815
        </catValu>
        <labl>
          Central Semiarid Cotton and Minerals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50816
        </catValu>
        <labl>
          Manica Highland Mixed Cropping, Cotton, and Tobacco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50817
        </catValu>
        <labl>
          Central Manica and Sofala Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50818
        </catValu>
        <labl>
          Cheringoma and Muanza Maize and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50819
        </catValu>
        <labl>
          Central Semiarid Pineapple and Cashew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50820
        </catValu>
        <labl>
          Southern Coastal Cassava, Coconut, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50821
        </catValu>
        <labl>
          Southern Intermediate Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50822
        </catValu>
        <labl>
          Southern Semiarid Cereals and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50823
        </catValu>
        <labl>
          Southeastern Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50824
        </catValu>
        <labl>
          Limpopo and Elephant Rivers Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50825
        </catValu>
        <labl>
          Southern Coastal Rishing, Manioc, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50826
        </catValu>
        <labl>
          Southern Highland Cattle and Mixed Cropping
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56210
        </catValu>
        <labl>
          Dallols - Seasonal Water-Course Irrigated Crops
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56211
        </catValu>
        <labl>
          Southeastern Natron Salt and Small Basin Irrigated Dates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56212
        </catValu>
        <labl>
          Komadougou Irrigated Peppers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56213
        </catValu>
        <labl>
          Lake Chad Flood-Retreat Cultivation with Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56214
        </catValu>
        <labl>
          Transhumant and Nomad Pastoralism-Camels
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56610
        </catValu>
        <labl>
          North-Central Maize, Sorghum, and Cotton
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56611
        </catValu>
        <labl>
          Northern Floodplains Irrigated Rice, Wheat, and Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56612
        </catValu>
        <labl>
          Northeast Millet, Cowpea, and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56613
        </catValu>
        <labl>
          Sahel Mixed Cereals and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          56614
        </catValu>
        <labl>
          Lake Chad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64610
        </catValu>
        <labl>
          Southeastern Plateau Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64611
        </catValu>
        <labl>
          Eastern Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64612
        </catValu>
        <labl>
          Eastern Semi-Arid Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64613
        </catValu>
        <labl>
          Urban Area
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64614
        </catValu>
        <labl>
          Akagera National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64615
        </catValu>
        <labl>
          Gishwati Forest Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64616
        </catValu>
        <labl>
          Mukura Forest Reserve
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64617
        </catValu>
        <labl>
          Nyungwe Forest National Park
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68610
        </catValu>
        <labl>
          Rainfed Groundnut and Cereals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68611
        </catValu>
        <labl>
          Forest and Rainfed Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68612
        </catValu>
        <labl>
          Forest, Rainfed Rice, and Groundnut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68613
        </catValu>
        <labl>
          Rainfed Maize, Cotton, and Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68614
        </catValu>
        <labl>
          Rainfed Maize and Lumber
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68615
        </catValu>
        <labl>
          Rainfed Maize and Artisanal Gold Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68616
        </catValu>
        <labl>
          Urban Area - Dakar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69410
        </catValu>
        <labl>
          Rice Bowl Areas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71610
        </catValu>
        <labl>
          Greater Mudzi Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71611
        </catValu>
        <labl>
          Highveld Prime Cereal and Cash Crop Resettlement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71612
        </catValu>
        <labl>
          Highveld Prime Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71613
        </catValu>
        <labl>
          Irrigated Commercial Sugar and Fruit Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71614
        </catValu>
        <labl>
          Kariba Valley and Kariangwe-Jambezi Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71615
        </catValu>
        <labl>
          Livestock and Cereal Farming Communal in Forests
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71616
        </catValu>
        <labl>
          Lusulu, Lupane and Southern Gokwe Mixed Agriculture
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71617
        </catValu>
        <labl>
          Masvingo Manicaland Middleveld Smallholder
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71618
        </catValu>
        <labl>
          Matabeleland Middleveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71619
        </catValu>
        <labl>
          Mutorashanga Informal mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71620
        </catValu>
        <labl>
          Mwenezi, Chivi and South Midland Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71621
        </catValu>
        <labl>
          Northern Cattle and Cereal Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71622
        </catValu>
        <labl>
          Northern Zambezi Valley Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71623
        </catValu>
        <labl>
          Save River Valley and Ndowoyo Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71624
        </catValu>
        <labl>
          Southern Cattle and Cereal Farming
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71625
        </catValu>
        <labl>
          Western Kalahari Sandveld Communal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76210
        </catValu>
        <labl>
          Panjakent Rice, Fruit and Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76211
        </catValu>
        <labl>
          Ghonchi and Istaravshan Rainfed Cereal, Fruit, and Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76212
        </catValu>
        <labl>
          North Sughd Agro-Industrial Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76213
        </catValu>
        <labl>
          Khatlon Agro-Industrial Peri-urban Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80010
        </catValu>
        <labl>
          Albertine West Nile Lowland Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80011
        </catValu>
        <labl>
          Kafu Muzizi Maize Upland Rice Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80012
        </catValu>
        <labl>
          Albertine Escarpment Cotton Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80013
        </catValu>
        <labl>
          Bwijanga Pakanyi SugarcaNE Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80014
        </catValu>
        <labl>
          Karuma Masindi Oyam Tobacco Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80015
        </catValu>
        <labl>
          West Nile Tobacco Cassava Sorghum Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80016
        </catValu>
        <labl>
          Rwenzori Mt.Elgon West Nile Arabica Coffee Banana Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80017
        </catValu>
        <labl>
          Amuru Gulu Rice Groundnut Sorghum Livestock Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80018
        </catValu>
        <labl>
          Southwest Gulu Beans Groundnuts Shoat Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80019
        </catValu>
        <labl>
          Mid North Simsim Maize Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80020
        </catValu>
        <labl>
          Eastern Lowland Maize Beans Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80021
        </catValu>
        <labl>
          Eastern Central Lowland Cassava Sorghum and Groundnut Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80022
        </catValu>
        <labl>
          Mt Elgon Highland Irish Potato Cereal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80023
        </catValu>
        <labl>
          Central and Southern Cattle Cassava Maize Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80024
        </catValu>
        <labl>
          Lakeshore and Riverbank Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80025
        </catValu>
        <labl>
          Southeastern Maize Beans Robusta Coffee Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80026
        </catValu>
        <labl>
          Midwest Central and Lake Victoria Crescent Robusta Coffee Banana Maize and Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80027
        </catValu>
        <labl>
          Rwenzori Midland Banana Fruit Vegetable Dairy Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80028
        </catValu>
        <labl>
          Kazinga Channel Cassava Maize Fruit Vegetable Cotton Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80029
        </catValu>
        <labl>
          Rwenzori Lowland Maize Vegetable Banana Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80030
        </catValu>
        <labl>
          Southeastern Lowland Cassava Cereal Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80031
        </catValu>
        <labl>
          Eastern Lowland Rice Root Crop Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80032
        </catValu>
        <labl>
          Southeastern Lowland Cassava Maize Sweet Potato Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80033
        </catValu>
        <labl>
          East Central Plantation Outgrower Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80034
        </catValu>
        <labl>
          Kayunga Masaka Pineapple Banana Robusta Coffee and Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80035
        </catValu>
        <labl>
          SW Highland Irish Potato Sorghum Vegetable Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80036
        </catValu>
        <labl>
          Kalangala Fishing Oil Palm Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80037
        </catValu>
        <labl>
          Western Rift Valley Cocoa Coffee Cassava Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80038
        </catValu>
        <labl>
          Rwenzori Midland Tea and Dairy Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80039
        </catValu>
        <labl>
          Southwestern Midland Banana Robusta Coffee Cattle Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80040
        </catValu>
        <labl>
          SW Rift Valley Tobacco Bean Millet Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83410
        </catValu>
        <labl>
          Lower Rombo Maize, Beans, and Finger Millet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83411
        </catValu>
        <labl>
          Kilimanjaro-Meru Maize, Coffee, and Plantains
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83412
        </catValu>
        <labl>
          Karatu Wheat, Maize, and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83413
        </catValu>
        <labl>
          Lower Arusha-Simanjiro Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83414
        </catValu>
        <labl>
          Northern Maasai Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83415
        </catValu>
        <labl>
          Nowu Maize, Beans, and Onions Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83416
        </catValu>
        <labl>
          Babati Kwaraa Maize, Beans, Sunflower, and Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83417
        </catValu>
        <labl>
          Kiteto-Kongwa-Mpwapwa-Mvomero Maize, Sorghum, and Pigeon Pea
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83418
        </catValu>
        <labl>
          Mbulu-Karatu Midlands Maize, Beans, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83419
        </catValu>
        <labl>
          Hadzabe Hunter-Gatherer Wild Honey, Wild Roots, and Wild Fruit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83420
        </catValu>
        <labl>
          Wembere Paddy, Sorghum, Maize, Sunflower, and Fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83421
        </catValu>
        <labl>
          Bahi-Sanza Irrigated Rice, Maize, Bulrush Millet, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83422
        </catValu>
        <labl>
          Iramba Midland Onion, Maize, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83423
        </catValu>
        <labl>
          Manyoni Upland Maize, Sunflower, Sesame, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83424
        </catValu>
        <labl>
          Tabora-Singida Midland Maize, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83425
        </catValu>
        <labl>
          Singida-Manyara Maize, Sorghum, Beans, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83426
        </catValu>
        <labl>
          East and South Lakeshore Fishing, Cassava, and Upland Rice
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83427
        </catValu>
        <labl>
          Western Lakeshore Coffee, Fishing, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83428
        </catValu>
        <labl>
          Kagera-Kigoma-Mara Banana, Coffee, and Beans
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83429
        </catValu>
        <labl>
          Mwanza-Shinyanga-Mara Cotton, Livestock, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83430
        </catValu>
        <labl>
          Kagera Lowlands Beans, Maize, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83431
        </catValu>
        <labl>
          Shinyanga-Tabora Cotton, Upland Rice, Sweet Potato, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83432
        </catValu>
        <labl>
          Sengerema-Geita Highland Cassava, Rice, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83433
        </catValu>
        <labl>
          Kagera-Kigoma Beans, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83434
        </catValu>
        <labl>
          Kahama-Tabora Midland Tobacco, Maize, Rice, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83435
        </catValu>
        <labl>
          Kishapu-Meatu-Maswa Sorghum, Cotton, Sweet Potato, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83436
        </catValu>
        <labl>
          Urambo-Nzega Lowland Groundnuts, Cotton, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83437
        </catValu>
        <labl>
          Kigoma Lowland Palm Oil, Cassava, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83438
        </catValu>
        <labl>
          Urambo Agropastoral Maize and Sweet Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83439
        </catValu>
        <labl>
          Victoria Islands Fishing, Cassava, Sweet Potato, and Paddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83440
        </catValu>
        <labl>
          Ruaha Riverine Maize, Onion, Tomato, and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83441
        </catValu>
        <labl>
          Chalinze-Tunuguo Maize, Cattle, and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83442
        </catValu>
        <labl>
          Kilombero-Mtibwa Paddy, Maize, and Sugar Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83443
        </catValu>
        <labl>
          Kilombero-Ulanga-Lusewa Paddy, Maize, and Cassava
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83444
        </catValu>
        <labl>
          Kilosa-Mvomero Maize and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83445
        </catValu>
        <labl>
          Matombo-Kuyuni Spice, Maize, and Banana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83446
        </catValu>
        <labl>
          Bagamoyo-Kibaha Midland Cassava, Cashew, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83447
        </catValu>
        <labl>
          Morogoro Highland Maize and Vegetable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83448
        </catValu>
        <labl>
          Maskat-Kimbet Maize and Beans Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83449
        </catValu>
        <labl>
          Newala-Masasi Plateau Sesame, Cassava, Cashew, and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83450
        </catValu>
        <labl>
          Mtwara-Lindi Coastal Rice and Cashew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83451
        </catValu>
        <labl>
          Matumbi Midland Upland Rice, Oranges, and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83452
        </catValu>
        <labl>
          Lindi-Nachingwea Lowland Cassava and Maize
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83453
        </catValu>
        <labl>
          Southeastern Plateau Cassava, Cashew, and Bambara Nuts
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83454
        </catValu>
        <labl>
          Mtwara-Lindi-Pwani Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83455
        </catValu>
        <labl>
          Singida-Dodoma Sorghum, B/Millet, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83456
        </catValu>
        <labl>
          Dodoma Lowland Sunflower, Grape, and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83457
        </catValu>
        <labl>
          Mpanda Maize, Paddy, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83458
        </catValu>
        <labl>
          Lake Tanganyika-Rukwa Fishing, Maize, and Sunflower
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83459
        </catValu>
        <labl>
          Kyela Paddy, Cacao, and Palm Oil Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83460
        </catValu>
        <labl>
          Rungwe Banana, Coffee, Tea, and Livestock Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83461
        </catValu>
        <labl>
          Mporoto-Umalila Irish Potato, Maize, Wheat, and Pyrethrum Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83462
        </catValu>
        <labl>
          Mbozi-Mbeya Coffee, Maize, Beans, and Livestock Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83463
        </catValu>
        <labl>
          Usangu Paddy, Maize, Sorghum, and Livestock Wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83464
        </catValu>
        <labl>
          Kamsamba Paddy, Sorghum, and Livestock Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83465
        </catValu>
        <labl>
          Chunya Maize, Sunflower, Cassava, and Groundnut Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83466
        </catValu>
        <labl>
          West Chunya Maize, Bulrush Millet, and Sesame Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83467
        </catValu>
        <labl>
          Lake Nyasa Shore Cassava Fishing and Paddy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83468
        </catValu>
        <labl>
          Namtumbo Tobacco, Maize, Paddy, and Cassava Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83469
        </catValu>
        <labl>
          Matengo Coffee, Maize, Beans, and Piggery Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83470
        </catValu>
        <labl>
          Songea-Namtumbo-Ludewa-Mibinga Maize, Beans, and Cassava Midlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83471
        </catValu>
        <labl>
          Njombe-Mufindi Maize, Timber, Tea, Pyrethrum, and Employment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83472
        </catValu>
        <labl>
          Mtera Dam Fishing, Sorghum, and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83473
        </catValu>
        <labl>
          Makete Wheat, Irish Potato, Timber, and Employment Highlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83474
        </catValu>
        <labl>
          Njombe-Mufindi Maize, Irish Potato, and Bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83475
        </catValu>
        <labl>
          Iringa-Mbarali Maize, Sunflower, Beans, and Groundnut Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83476
        </catValu>
        <labl>
          Tunduru-Nachingwea-Nanyumbu Cashew, Cassava, and Paddy Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83477
        </catValu>
        <labl>
          Mpanda-Chunya-Sikonge Maize and Tobacco Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83478
        </catValu>
        <labl>
          Sumbawanga-Mbozi-Mpanda Maize, Sunflower, and Livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83479
        </catValu>
        <labl>
          Water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89410
        </catValu>
        <labl>
          Eastern Province Cash Crop Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89411
        </catValu>
        <labl>
          Sioma Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89412
        </catValu>
        <labl>
          Kazungula-Mwandi Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89413
        </catValu>
        <labl>
          Chongwe-Nyimba Plateau
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89414
        </catValu>
        <labl>
          Luano Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89415
        </catValu>
        <labl>
          Mulobezi Woodlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89416
        </catValu>
        <labl>
          Zambezi West Bank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89417
        </catValu>
        <labl>
          Zambezi East
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89418
        </catValu>
        <labl>
          Gwembe Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89419
        </catValu>
        <labl>
          Lake Kariba Fishing Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89420
        </catValu>
        <labl>
          Chiawa-Zambezi Lowlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89421
        </catValu>
        <labl>
          Mambwe-Petauke Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89422
        </catValu>
        <labl>
          Mkushi Commercial Block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89423
        </catValu>
        <labl>
          Zambezi Floodplain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89424
        </catValu>
        <labl>
          Luapula Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89425
        </catValu>
        <labl>
          Luangwa-Mfuwe Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89426
        </catValu>
        <labl>
          Luapula-Northern Wetlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89427
        </catValu>
        <labl>
          Kaputa Rice Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231100
        </catValu>
        <labl>
          Meketel Highland Cereal &amp; Pulses
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231101
        </catValu>
        <labl>
          Melka Awash-Ochocha Mid-Highland Wheat &amp; Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231102
        </catValu>
        <labl>
          Mendi-Dabisu Maize, Sesame &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231103
        </catValu>
        <labl>
          Mereb Basin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231104
        </catValu>
        <labl>
          Merhabete Lowland Sorghum and teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231105
        </catValu>
        <labl>
          Middle Tekeze
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231106
        </catValu>
        <labl>
          Midland Teff &amp; Coffee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231107
        </catValu>
        <labl>
          Minjar teff and livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231108
        </catValu>
        <labl>
          Minjar teff and sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231109
        </catValu>
        <labl>
          Moyale Agro-Pastoral, Labour &amp; Cross-Border Trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231110
        </catValu>
        <labl>
          Moyale Cattle, Shoats &amp; Camel Pastoralist
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231111
        </catValu>
        <labl>
          Moyale-Wayamo Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231112
        </catValu>
        <labl>
          Muger-Abay-Jema Sorghum &amp; Teff Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231113
        </catValu>
        <labl>
          N Highland wheat, Barley &amp; Sheep
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231114
        </catValu>
        <labl>
          Nadda-Gilgel Gibe Maize, Teff and Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231115
        </catValu>
        <labl>
          Namalefan &amp; Baadu Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231116
        </catValu>
        <labl>
          Nejo-Dilla Teff, Finger Millet &amp; Nug
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231117
        </catValu>
        <labl>
          Nole-Meko-Diga Teff &amp; Cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231118
        </catValu>
        <labl>
          North East Woyna Dega Mixed Cereal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231119
        </catValu>
        <labl>
          North Shewa highland sheep and barley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231120
        </catValu>
        <labl>
          North Shewa Highland Wheat and Teff productive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231121
        </catValu>
        <labl>
          North Wollo East Plain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231122
        </catValu>
        <labl>
          North Wollo Highland Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231123
        </catValu>
        <labl>
          North-East Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231124
        </catValu>
        <labl>
          NorthWest Cash Crop
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231125
        </catValu>
        <labl>
          NorthWest Sorghum Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231126
        </catValu>
        <labl>
          Omo River Flood Recession LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231127
        </catValu>
        <labl>
          Omo Valley Maize and Sorghum LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231128
        </catValu>
        <labl>
          Raya Valley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231129
        </catValu>
        <labl>
          Rift Valley Maize &amp; Horse Bean
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231130
        </catValu>
        <labl>
          Robe Chole Sude &amp; Seru Teff Maize Haricot Bean Belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231131
        </catValu>
        <labl>
          Salamago Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231132
        </catValu>
        <labl>
          Selale-Ambo Highland Barley, Wheat and Horsebean belt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231133
        </catValu>
        <labl>
          Shabelle Riverine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231134
        </catValu>
        <labl>
          Sheka Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231135
        </catValu>
        <labl>
          Shinile Agropastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231136
        </catValu>
        <labl>
          Shinile Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231137
        </catValu>
        <labl>
          Shirka Ticho Spice &amp; Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231138
        </catValu>
        <labl>
          Sidama Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231139
        </catValu>
        <labl>
          Sidama Maize Belt LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231140
        </catValu>
        <labl>
          Sidama-Gedeo Highland Enset and Barley LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231141
        </catValu>
        <labl>
          Siraro Kofele Potato &amp; Vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231142
        </catValu>
        <labl>
          Soddo Highland Wheat, Barley &amp; Enset
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231143
        </catValu>
        <labl>
          Sorghum, Maize &amp; Chat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231144
        </catValu>
        <labl>
          South East Woyna Dega Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231145
        </catValu>
        <labl>
          South Omo Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231146
        </catValu>
        <labl>
          South Omo Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231147
        </catValu>
        <labl>
          South West Maize, Finger Millet and Teff productive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231148
        </catValu>
        <labl>
          South West Woyna Dega wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231149
        </catValu>
        <labl>
          South Wollo &amp; Oromia Eastern lowland sorghum &amp; cattle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231150
        </catValu>
        <labl>
          South Wollo Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231151
        </catValu>
        <labl>
          South Wollo Meher
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231152
        </catValu>
        <labl>
          South Wollo Meher and Belg
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231153
        </catValu>
        <labl>
          Southern Agro-Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231154
        </catValu>
        <labl>
          Southern Agro-Pastoral Livelihood Zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231155
        </catValu>
        <labl>
          Southern Cereal, Enset and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231156
        </catValu>
        <labl>
          Southern Special Woredas Lowland Cereal LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231157
        </catValu>
        <labl>
          Surma Agro-Pastoral LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231158
        </catValu>
        <labl>
          Tana Zuria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231159
        </catValu>
        <labl>
          Tekeze Lowland Sorghum and Goats
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231160
        </catValu>
        <labl>
          Teru Pastoral
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231161
        </catValu>
        <labl>
          Tsirare Catchment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231162
        </catValu>
        <labl>
          Wellega Coffee, Maize &amp; Sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231163
        </catValu>
        <labl>
          Wellega-Dedo Highland Wheat &amp; Barley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231164
        </catValu>
        <labl>
          Werie Catchment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231165
        </catValu>
        <labl>
          West Central Teff
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231166
        </catValu>
        <labl>
          Western Cereal and Sesame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231167
        </catValu>
        <labl>
          Western Coffee and Spices LZ - Eastern sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231168
        </catValu>
        <labl>
          Western Coffee and Spices LZ - Western sub-zone
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231169
        </catValu>
        <labl>
          Western Dry Kolla Sorghum, Maize &amp; Mining
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231170
        </catValu>
        <labl>
          Western Forest Products LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231171
        </catValu>
        <labl>
          Wheat, Barley &amp; Potato
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231172
        </catValu>
        <labl>
          Wolayita Barley and Wheat LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231173
        </catValu>
        <labl>
          Wolayita Ginger and Coffee LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231174
        </catValu>
        <labl>
          Wolayita Maize and Root Crop LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231175
        </catValu>
        <labl>
          Wuchale-Abichu-Kembebit Livestock, 'Wild Oats' &amp; Barley/Wheat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231176
        </catValu>
        <labl>
          Yem Cereal and Enset LZ
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231999
        </catValu>
        <labl>
          No Data
        </labl>
      </catgry>
      <catgry>
        <catValu>
          562999
        </catValu>
        <labl>
          Not Zoned (Desert)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          834999
        </catValu>
        <labl>
          Not Zoned
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4246" name="M_CROPLAND" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Proportion of land area used for agriculture
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CROPLAND reports the proportion of land that is planted in crops, for a 10 kilometer circular buffer around each DHS cluster location. The statistics reported in CROPLAND are based on agricultural censuses and remotely sensed imagery circa 2000. CROPLAND is available for every IPUMS-DHS sample with GPS data. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: CROPLAND [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4247" name="M_PASTURELAND" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Proportion of land area used for pastureland
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PASTURELAND reports the proportion of land that is used as pasture, for a 10 kilometer circular buffer around each DHS cluster location. The pasture area statistics reported in PASTURELAND are based on agricultural censuses and remotely sensed imagery circa 2000. PASTURELAND is available for every IPUMS-DHS sample with GPS data. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: PASTURELAND [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4248" name="M_NDVI" files="F4" dcml="0" intrvl="contin">
      <labl>
        NDVI monthly time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI consists of a set of 72 variables. These variables report the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. NDVI values range from 0 to 1. 
  
By adding NDVI to your data cart, you are in effect adding 72 separate variables:

The 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., NDVI_01 is the maximum NDVI in the month before the survey start date; NDVI_60 is the maximum NDVI in the 60th month before the survey start date).
The month of the survey start date (NDVI_00)
The 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., NDVI_A01 is the maximum NDVI in the month following the month of the survey start date).
 

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        NDVI variables are numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4249" name="M_NDVI_60" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 60 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4250" name="M_NDVI_59" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 59 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4251" name="M_NDVI_58" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 58 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4252" name="M_NDVI_57" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 57 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4253" name="M_NDVI_56" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 56 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4254" name="M_NDVI_55" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 55 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4255" name="M_NDVI_54" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 54 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4256" name="M_NDVI_53" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 53 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4257" name="M_NDVI_52" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 52 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4258" name="M_NDVI_51" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 51 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4259" name="M_NDVI_50" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 50 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4260" name="M_NDVI_49" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 49 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4261" name="M_NDVI_48" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 48 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4262" name="M_NDVI_47" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 47 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4263" name="M_NDVI_46" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 46 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4264" name="M_NDVI_45" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 45 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4265" name="M_NDVI_44" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 44 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4266" name="M_NDVI_43" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 43 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4267" name="M_NDVI_42" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 42 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4268" name="M_NDVI_41" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 41 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4269" name="M_NDVI_40" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 40 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4270" name="M_NDVI_39" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 39 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4271" name="M_NDVI_38" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 38 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4272" name="M_NDVI_37" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 37 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4273" name="M_NDVI_36" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 36 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4274" name="M_NDVI_35" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 35 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4275" name="M_NDVI_34" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 34 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4276" name="M_NDVI_33" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 33 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4277" name="M_NDVI_32" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 32 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4278" name="M_NDVI_31" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 31 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4279" name="M_NDVI_30" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 30 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4280" name="M_NDVI_29" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 29 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4281" name="M_NDVI_28" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 28 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4282" name="M_NDVI_27" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 27 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4283" name="M_NDVI_26" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 26 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4284" name="M_NDVI_25" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 25 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4285" name="M_NDVI_24" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 24 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4286" name="M_NDVI_23" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 23 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4287" name="M_NDVI_22" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 22 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4288" name="M_NDVI_21" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 21 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4289" name="M_NDVI_20" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 20 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4290" name="M_NDVI_19" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 19 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4291" name="M_NDVI_18" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 18 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4292" name="M_NDVI_17" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 17 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4293" name="M_NDVI_16" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 16 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4294" name="M_NDVI_15" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 15 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4295" name="M_NDVI_14" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 14 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4296" name="M_NDVI_13" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 13 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4297" name="M_NDVI_12" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 12 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4298" name="M_NDVI_11" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 11 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4299" name="M_NDVI_10" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 10 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4300" name="M_NDVI_09" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 9 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4301" name="M_NDVI_08" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 8 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4302" name="M_NDVI_07" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 7 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4303" name="M_NDVI_06" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 6 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4304" name="M_NDVI_05" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 5 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4305" name="M_NDVI_04" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 4 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4306" name="M_NDVI_03" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 3 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4307" name="M_NDVI_02" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 2 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4308" name="M_NDVI_01" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 1 month before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4309" name="M_NDVI_00" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI month of survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4310" name="M_NDVI_A01" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 1 month after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4311" name="M_NDVI_A02" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 2 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4312" name="M_NDVI_A03" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 3 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4313" name="M_NDVI_A04" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 4 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4314" name="M_NDVI_A05" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 5 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4315" name="M_NDVI_A06" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 6 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4316" name="M_NDVI_A07" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 7 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4317" name="M_NDVI_A08" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 8 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4318" name="M_NDVI_A09" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 9 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4319" name="M_NDVI_A10" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 10 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4320" name="M_NDVI_A11" files="F4" dcml="0" intrvl="discrete">
      <labl>
        NDVI 11 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4321" name="M_NDVI_AVG" files="F4" dcml="0" intrvl="contin">
      <labl>
        Average monthly NDVI (January - December)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_AVG consists of a set of 12 variables. These variables report the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster during each calendar month (January through December), averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. NDVI values range from 0 to 1. 
  
By adding NDVI_AVG to your data cart, you are in effect adding 12 separate variables (NDVI_JAN - NDVI_DEC), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        NDVI_AVG variables are numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4322" name="M_NDVI_JAN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average January NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JAN reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during January, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4323" name="M_NDVI_FEB" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average February NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_FEB reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during February, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4324" name="M_NDVI_MAR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average March NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_MAR reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during March, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4325" name="M_NDVI_APR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average April NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_APR reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during April, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4326" name="M_NDVI_MAY" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average May NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_MAY reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during May, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4327" name="M_NDVI_JUN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average June NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JUN reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during June, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4328" name="M_NDVI_JUL" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average July NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_JUL reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during July, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  

Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4329" name="M_NDVI_AUG" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average August NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_AUG reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during August, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4330" name="M_NDVI_SEP" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average September NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_SEP reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during September, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4331" name="M_NDVI_OCT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average October NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_OCT reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during October, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4332" name="M_NDVI_NOV" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average November NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_NOV reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during November, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4333" name="M_NDVI_DEC" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average December NDVI
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[NDVI_DEC reports the maximum normalized difference vegetation index (NDVI) value within a 10 kilometer circular buffer around each DHS cluster location during December, averaged over the 2000-2016 timeframe. NDVI is a numeric, normalized index that measures live greenness in an area and can be used as a proxy for vegetation. Other variables in this series report maximum NDVI for other months.  
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: NDVI [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4334" name="M_PRECIP" files="F4" dcml="0" intrvl="contin">
      <labl>
        Precipitation monthly time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP consists of a set of 72 separate variables. These variables report the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. 
 
By adding PRECIP to your data cart, you are in effect adding 72 separate variables:

The 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., PRECIP_01 is the average precipitation in the month before the survey start date; PRECIP_60 is the average precipitation in the 60th month before the survey start date).
The month of the survey start date (PRECIP_00)
The 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., PRECIP_A01 is the average precipitation in the month following the month of the survey start date).
 

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        PRECIP variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4335" name="M_PRECIP_60" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 60 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4336" name="M_PRECIP_59" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 59 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4337" name="M_PRECIP_58" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 58 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4338" name="M_PRECIP_57" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 57 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4339" name="M_PRECIP_56" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 56 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4340" name="M_PRECIP_55" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 55 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4341" name="M_PRECIP_54" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 54 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4342" name="M_PRECIP_53" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 53 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4343" name="M_PRECIP_52" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 52 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4344" name="M_PRECIP_51" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 51 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4345" name="M_PRECIP_50" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 50 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4346" name="M_PRECIP_49" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 49 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4347" name="M_PRECIP_48" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 48 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4348" name="M_PRECIP_47" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 47 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4349" name="M_PRECIP_46" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 46 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4350" name="M_PRECIP_45" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 45 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4351" name="M_PRECIP_44" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 44 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4352" name="M_PRECIP_43" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 43 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4353" name="M_PRECIP_42" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 42 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4354" name="M_PRECIP_41" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 41 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4355" name="M_PRECIP_40" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 40 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4356" name="M_PRECIP_39" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 39 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4357" name="M_PRECIP_38" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 38 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4358" name="M_PRECIP_37" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 37 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4359" name="M_PRECIP_36" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 36 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4360" name="M_PRECIP_35" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 35 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4361" name="M_PRECIP_34" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 34 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4362" name="M_PRECIP_33" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 33 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4363" name="M_PRECIP_32" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 32 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4364" name="M_PRECIP_31" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 31 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4365" name="M_PRECIP_30" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 30 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4366" name="M_PRECIP_29" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 29 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4367" name="M_PRECIP_28" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 28 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4368" name="M_PRECIP_27" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 27 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4369" name="M_PRECIP_26" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 26 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4370" name="M_PRECIP_25" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 25 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4371" name="M_PRECIP_24" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 24 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4372" name="M_PRECIP_23" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 23 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4373" name="M_PRECIP_22" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 22 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4374" name="M_PRECIP_21" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 21 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4375" name="M_PRECIP_20" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 20 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4376" name="M_PRECIP_19" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 19 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4377" name="M_PRECIP_18" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 18 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4378" name="M_PRECIP_17" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 17 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4379" name="M_PRECIP_16" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 16 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4380" name="M_PRECIP_15" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 15 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4381" name="M_PRECIP_14" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 14 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4382" name="M_PRECIP_13" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 13 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4383" name="M_PRECIP_12" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 12 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4384" name="M_PRECIP_11" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 11 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4385" name="M_PRECIP_10" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 10 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4386" name="M_PRECIP_09" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 9 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4387" name="M_PRECIP_08" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 8 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4388" name="M_PRECIP_07" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 7 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4389" name="M_PRECIP_06" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 6 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4390" name="M_PRECIP_05" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 5 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4391" name="M_PRECIP_04" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 4 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4392" name="M_PRECIP_03" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 3 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4393" name="M_PRECIP_02" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 2 months before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4394" name="M_PRECIP_01" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 1 month before survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4395" name="M_PRECIP_00" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation month of survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4396" name="M_PRECIP_A01" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 1 month after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4397" name="M_PRECIP_A02" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 2 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4398" name="M_PRECIP_A03" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 3 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4399" name="M_PRECIP_A04" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 4 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4400" name="M_PRECIP_A05" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 5 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4401" name="M_PRECIP_A06" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 6 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4402" name="M_PRECIP_A07" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 7 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4403" name="M_PRECIP_A08" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 8 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4404" name="M_PRECIP_A09" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 9 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4405" name="M_PRECIP_A10" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 10 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4406" name="M_PRECIP_A11" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Precipitation 11 months after survey start date
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4407" name="M_PRECIP_AVG" files="F4" dcml="0" intrvl="contin">
      <labl>
        Average monthly precipitation (January - December)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_AVG consists of a set of 12 separate variables. These variables report the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location, during each calendar month (January through December), averaged over the 1981-2016 timeframe.

By adding PRECIP_AVG to your data cart, you are in effect adding 12 separate variables (PRECIP_JAN - PRECIP_DEC), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about these variables.]]>
      </txt>
      <codInstr>
        PRECIP_AVG variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4408" name="M_PRECIP_JAN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average January precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JAN reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during January, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4409" name="M_PRECIP_FEB" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average February precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_FEB reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during February, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4410" name="M_PRECIP_MAR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average March precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_MAR reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during March, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4411" name="M_PRECIP_APR" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average April precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_APR reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during April, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4412" name="M_PRECIP_MAY" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average May precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_MAY reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during May, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4413" name="M_PRECIP_JUN" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average June precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JUN reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during June, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4414" name="M_PRECIP_JUL" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average July precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_JUL reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during July, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4415" name="M_PRECIP_AUG" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average August precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_AUG reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during August, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4416" name="M_PRECIP_SEP" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average September precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_SEP reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during September, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4417" name="M_PRECIP_OCT" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average October precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_OCT reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during October, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4418" name="M_PRECIP_NOV" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average November precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_NOV reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during November, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4419" name="M_PRECIP_DEC" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average December precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_DEC reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location during December, averaged over the 1981-2016 timeframe. Other variables in this series report average precipitation for other months.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4420" name="M_PRECIP_ANNUAL" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Average Annual precipitation
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PRECIP_ANNUAL reports the average precipitation in millimeters, received within a 10 kilometer circular buffer around each DHS cluster location annually, averaged over the 1981-2016 timeframe. 

Please see the User Note on Using IPUMS-DHS Contextual Variables: Precipitation [URL omitted from DDI.] for the data source, methodology, and more detailed information about this variable. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Environmental Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4421" name="M_POPDENSITY" files="F4" dcml="0" intrvl="contin">
      <labl>
        Population density quinquennial time-series (2000-2020)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY consists of a set of 5 variables. These variables report the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000, 2005, 2010, 2015, and 2020. POPDENSITY variables are available for every IPUMS-DHS sample with GPS data. POPDENSITY variables can be used as indicators of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY are based on population projections from the results of the 2000 and 2010 rounds of censuses.
 
By adding POPDENSITY to your data cart, you are in effect adding 5 separate variables (POPDENSITY_2000 - POPDENSITY_2020), one variable for each month.

Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <codInstr>
        POPDENSITY variables are numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4422" name="M_POPDENSITY_2000" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Population density 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2000 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2000 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2000 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2000  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4423" name="M_POPDENSITY_2005" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Population density 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2005 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2005. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2005 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2005 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2005  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4424" name="M_POPDENSITY_2010" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Population density 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2010 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2010. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2010 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2010 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2010  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4425" name="M_POPDENSITY_2015" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Population density 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2015 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2015. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2015 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2015 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2015  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4426" name="M_POPDENSITY_2020" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Population density 2020
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POPDENSITY_2020 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2020. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2020 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2020 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY_2020 are based on population projections from the results of the 2010 round of censuses, which occurred between 2005 and 2014.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2020  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4427" name="M_BATTLES" files="F4" dcml="0" intrvl="contin">
      <labl>
        Battles annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BATTLES consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of battles within a 10 kilometer circular buffer around each DHS cluster location, by year. BATTLES data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding BATTLES to your data cart, you are in effect adding 20 separate variables (BATTLES_1997 - BATTLES_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        BATTLES variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4428" name="M_BATTLES_1997" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4429" name="M_BATTLES_1998" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4430" name="M_BATTLES_1999" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4431" name="M_BATTLES_2000" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4432" name="M_BATTLES_2001" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4433" name="M_BATTLES_2002" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4434" name="M_BATTLES_2003" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4435" name="M_BATTLES_2004" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4436" name="M_BATTLES_2005" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4437" name="M_BATTLES_2006" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4438" name="M_BATTLES_2007" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4439" name="M_BATTLES_2008" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4440" name="M_BATTLES_2009" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4441" name="M_BATTLES_2010" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4442" name="M_BATTLES_2011" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4443" name="M_BATTLES_2012" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4444" name="M_BATTLES_2013" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4445" name="M_BATTLES_2014" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4446" name="M_BATTLES_2015" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4447" name="M_BATTLES_2016" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of battles in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4448" name="M_RIOTS" files="F4" dcml="0" intrvl="contin">
      <labl>
        Riots annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RIOTS consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of riots or protests within a 10 kilometer circular buffer around each DHS cluster location, by year. RIOTS data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding RIOTS to your data cart, you are in effect adding 20 separate variables (RIOTS_1997 - RIOTS_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        RIOTS variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4449" name="M_RIOTS_1997" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4450" name="M_RIOTS_1998" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4451" name="M_RIOTS_1999" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4452" name="M_RIOTS_2000" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4453" name="M_RIOTS_2001" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4454" name="M_RIOTS_2002" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4455" name="M_RIOTS_2003" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4456" name="M_RIOTS_2004" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4457" name="M_RIOTS_2005" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4458" name="M_RIOTS_2006" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4459" name="M_RIOTS_2007" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4460" name="M_RIOTS_2008" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4461" name="M_RIOTS_2009" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4462" name="M_RIOTS_2010" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4463" name="M_RIOTS_2011" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4464" name="M_RIOTS_2012" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4465" name="M_RIOTS_2013" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4466" name="M_RIOTS_2014" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4467" name="M_RIOTS_2015" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4468" name="M_RIOTS_2016" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of riots in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4469" name="M_CIV_VIOLENCE" files="F4" dcml="0" intrvl="contin">
      <labl>
        Violence against civilians annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CIV_VIOLENCE consists of a set of 20 separate variables, covering each year from 1997 to 2016. The variables report the number of acts of violence against civilians by an armed or violent group within a 10 kilometer circular buffer around each DHS cluster location, by year. CIV_VIOLENCE data are available for years 1997 to 2016 in Africa and 2015 to 2016 in Asia, for a subset of IPUMS-DHS samples with GPS data. 

By adding CIV_VIOLENCE to your data cart, you are in effect adding 20 separate variables (CIV_VIOLENCE_1997 - CIV_VIOLENCE_2016), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Conflict  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        CIV_VIOLENCE variables are 5-digit numeric variables.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4470" name="M_CIV_VIOLENCE_1997" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1997
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4471" name="M_CIV_VIOLENCE_1998" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1998
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4472" name="M_CIV_VIOLENCE_1999" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 1999
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4473" name="M_CIV_VIOLENCE_2000" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4474" name="M_CIV_VIOLENCE_2001" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4475" name="M_CIV_VIOLENCE_2002" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4476" name="M_CIV_VIOLENCE_2003" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4477" name="M_CIV_VIOLENCE_2004" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4478" name="M_CIV_VIOLENCE_2005" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4479" name="M_CIV_VIOLENCE_2006" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4480" name="M_CIV_VIOLENCE_2007" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4481" name="M_CIV_VIOLENCE_2008" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4482" name="M_CIV_VIOLENCE_2009" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4483" name="M_CIV_VIOLENCE_2010" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4484" name="M_CIV_VIOLENCE_2011" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4485" name="M_CIV_VIOLENCE_2012" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4486" name="M_CIV_VIOLENCE_2013" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4487" name="M_CIV_VIOLENCE_2014" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4488" name="M_CIV_VIOLENCE_2015" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4489" name="M_CIV_VIOLENCE_2016" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Number of acts of violence against civilians in 2016
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4490" name="M_MALARIA" files="F4" dcml="0" intrvl="contin">
      <labl>
        Malaria incidence rate annual time-series
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MALARIA consists of a set of 16 separate variables, covering each year from 2000 to 2015. The variables report the mean clinical Plasmodium falciparium malaria cases per person within a 10 kilometer circular buffer around each DHS cluster location, by year. MALARIA is available for a subset of the IPUMS-DHS samples with GPS data. 
 
By adding MALARIA to your data cart, you are in effect adding 16 separate variables (MALARIA_2000 - MALARIA_2015), one variable for each year.

Please see the User Note on Using IPUMS-DHS Contextual Variables: Malaria  [URL omitted from DDI.] for more information about these variables, including data sources and methodology.]]>
      </txt>
      <codInstr>
        MALARIA variables are 4-digit numeric variables between 0 and 1.
      </codInstr>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4491" name="M_MALARIA_2000" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2000
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4492" name="M_MALARIA_2001" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2001
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4493" name="M_MALARIA_2002" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2002
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4494" name="M_MALARIA_2003" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2003
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4495" name="M_MALARIA_2004" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2004
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4496" name="M_MALARIA_2005" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2005
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4497" name="M_MALARIA_2006" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2006
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4498" name="M_MALARIA_2007" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2007
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4499" name="M_MALARIA_2008" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2008
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4500" name="M_MALARIA_2009" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2009
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4501" name="M_MALARIA_2010" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2010
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4502" name="M_MALARIA_2011" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2011
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4503" name="M_MALARIA_2012" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4504" name="M_MALARIA_2013" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2013
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4505" name="M_MALARIA_2014" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2014
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4506" name="M_MALARIA_2015" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Malaria incidence rate in 2015
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Social Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4507" name="M_BARLEY_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area barley
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BARLEY_H reports total harvested area dedicated to barley, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in BARLEY_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4508" name="M_CASSAVA_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area cassava
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CASSAVA_H reports total harvested area dedicated to cassava, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in CASSAVA_H are based on agricultural censuses and remotely sensed imagery circa 2000. CASSAVA_H is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4509" name="M_COTTON_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area cotton
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COTTON_H reports total harvested area dedicated to cotton, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in COTTON_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4510" name="M_GROUNDNUT_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area groundnut
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GROUNDNUTS_H reports total harvested area dedicated to groundnuts, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in GROUNDNUTS_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4511" name="M_MAIZE_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area maize
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAIZE_H reports total harvested area dedicated to maize, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in MAIZE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4512" name="M_MILLET_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area millet
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MILLET_H reports total harvested area dedicated to millet, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in MILLET_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4513" name="M_OILPALM_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area oilpalm
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OILPALM_H reports total harvested area dedicated to oil palm, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in OILPALM_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4514" name="M_POTATO_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area potato
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POTATO_H reports total harvested area dedicated to potatoes, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in POTATO_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4515" name="M_RAPESEED_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rapeseed
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RAPESEED_H reports total harvested area dedicated to rapeseed, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RAPESEED_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4516" name="M_RICE_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rice
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RICE_H reports total harvested area dedicated to rice, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RICE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4517" name="M_SORGHUM_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sorghum
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SORGHUM_H reports total harvested area dedicated to sorghum, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SORGHUM_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4518" name="M_SOYBEAN_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area soybean
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOYBEANS_H reports total harvested area dedicated to soybeans, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SOYBEANS_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4519" name="M_SUGARBEET_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sugarbeet
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARBEET_H reports total harvested area dedicated to sugar beets, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARBEET_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4520" name="M_SUGARCANE_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sugarcane
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARCANE_H reports total harvested area dedicated to sugar cane, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARCANE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4521" name="M_SUNFLOWER_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area sunflower
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUNFLOWER_H reports total harvested area dedicated to sunflowers, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUNFLOWER_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4522" name="M_WHEAT_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area wheat
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHEAT_H reports total harvested area dedicated to wheat, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in WHEAT_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4523" name="M_RYE_H" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Harvested area rye
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RYE_H reports total harvested area dedicated to rye, expressed in hectares, within a 10 kilometer buffer around each DHS cluster location. The harvested area statistics reported in RYE_H are based on agricultural censuses and remotely sensed imagery circa 2000. Harvested area data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Harvested Area [URL omitted from DDI.] for more detailed information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4524" name="M_BARLEY_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total barley production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[BARLEY_P reports total crop production of barley, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in BARLEY_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4525" name="M_CASSAVA_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total cassava production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[CASSAVA_P reports total crop production of cassava, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in CASSAVA_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4526" name="M_COTTON_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total cotton production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[COTTON_P reports total crop production of cotton, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in COTTON_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4527" name="M_GROUNDNUT_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total groundnut production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[GROUNDNUTS_P reports total crop production of groundnuts, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in GROUNDNUTS_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4528" name="M_MAIZE_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total maize production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MAIZE_P reports total crop production of maize, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MAIZE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4529" name="M_MILLET_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total millet production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[MILLET_P reports total crop production of millet, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MILLET_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4530" name="M_OILPALM_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total oilpalm production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[OILPALM_P reports total crop production of oil palm, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in OILPALM_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4531" name="M_POTATO_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total potato production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[POTATO_P reports total crop production of potatoes, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in POTATO_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4532" name="M_RAPESEED_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total rapeseed production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RAPESEED_P reports total crop production of rapeseed, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RAPESEED_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4533" name="M_RICE_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total rice production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RICE_P reports total crop production of rice, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RICE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4534" name="M_SORGHUM_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total sorghum production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SORGHUM_P reports total crop production of sorghum, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SORGHUM_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4535" name="M_SOYBEAN_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total soybean production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SOYBEAN_P reports total crop production of soybeans, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SOYBEAN_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4536" name="M_SUGARBEET_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total sugarbeet production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARBEET_P reports total crop production of sugar beets, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARBEET_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4537" name="M_SUGARCANE_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total sugarcane production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUGARCANE_P reports total crop production of sugarcane, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARCANE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4538" name="M_SUNFLOWER_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total sunflower production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[SUNFLOWER_P reports total crop production of sunflowers, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUNFLOWER_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4539" name="M_WHEAT_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total wheat production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[WHEAT_P reports total crop production of wheat, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in WHEAT_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4540" name="M_RYE_P" files="F4" dcml="0" intrvl="discrete">
      <labl>
        Total rye production
      </labl>
      <valrng>
        <range UNITS="REAL" min="-998" max="-998"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[RYE_P reports total crop production of rye, expressed in metric tons, within a 10 kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RYE_P are based on agricultural censuses and remotely sensed imagery circa 2000. Crop production data is available for every IPUMS-DHS sample with GPS data and for the following crops: barley, cassava, cotton, groundnuts, maize, millet, oil palm, potatoes, rapeseed, rice, rye, sorghum, soybeans, sugar beets, sugarcane, sunflowers, and wheat.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: Crops, Production [URL omitted from DDI.] for more information about this variable, including data source and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.]]>
      </txt>
      <catgry>
        <catValu>
          -998
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <concept vocab="IPUMS">
        Agricultural Variables -- PERSON
      </concept>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
